Brandwatch is a Digital Consumer Intelligence suite that combines digital, survey, social and first-party data sources with data science and AI. This enables organizations like Unilever, Walmart, and Dell to find the signal in the noise, bring market research into the digital era, and understand consumer and market trends in real time.
Home to over 550 people from 30+ different nations, Brandwatch is a place that challenges, motivates and supports its diverse staff to find answers to new problems in an ever-changing social world. Better. Bolder. More Brilliant.
Professional Services is a core component of Customer Success at Brandwatch. As a team, we strive to enable and advance our clients’ use of social data across their organisations by taking them from data, to insights, to actions that have a real business impact and empower our users’ long-term self-sufficiency.
As we continue our global expansion, we are hiring a customer-focused Junior Social Media Analyst to join our dynamic Professional Services team in Brighton. This is an exciting opportunity that offers hands-on work and the flexibility to learn, grow, and develop in the constantly changing landscape of social intelligence.
We’re looking for someone who :
Loves using data to answer questions
Solves problems for fun and enjoys testing limits
Has a keen eye for detail
Thrives on helping people
Can present technical concepts in business-friendly and user-friendly language
Wants to work with a wide variety of brands and use-cases
Prefers a hands-on, forward-thinking approach
Is comfortable working independently in a deadline-driven environment
In this role, you will:
Become a proficient user and advocate of the Brandwatch product suite
Implement effective social media measurement solutions on behalf of Brandwatch clients
Collaborate with senior colleagues to execute large, complex or novel solutions
Perform quality assurance on the work of 3rd party contributors to identify and correct data quality or validity issues
Attend client meetings as a subject-matter specialist, and represent your own work in a clear, engaging manner
Coordinate scheduling with our top-class Project Management team
Provide feedback to guide new product development
You should have:
6+ months experience working independently in an office environment (or similar)
Strong time-management and task-management skills
Computer literacy, including experience with Microsoft/Google suites (spreadsheets, presentations, documents) and familiarity with social media platforms
A degree in an analytical or business-related subject (such as marketing/market research, data analytics, business analytics, linguistics, natural sciences, computer science, engineering, economics, maths, statistics, etc.), or equivalent experience
Ability to accomodate occasional domestic and international travel
Authorisation to work in the UK without visa sponsorship
Icing on the cake:
Familiarity with social media data, social analytics platforms, or unstructured text data
Familiarity with basic statistical concepts (distributions, significance, sampling)
Fluency in another language (or two!) would be a bonus
Our Perks:
All the usual start-up temptations…cupboards bursting with snacks (a range to satisfy all taste buds), fruit boxes, drinks fridges… and of course coffee.
30 days annual leave
Macbook Pro with retina display
Freitag Frühstück - Communal Breakfast in the Berlin office every Friday.
To all recruitment agencies: Brandwatch does not accept agency resumes. Please do not forward resumes to our jobs alias or Brandwatch employees. Brandwatch is not responsible for any fees related to unsolicited resumes.
12/07/2019
Full time
Brandwatch is a Digital Consumer Intelligence suite that combines digital, survey, social and first-party data sources with data science and AI. This enables organizations like Unilever, Walmart, and Dell to find the signal in the noise, bring market research into the digital era, and understand consumer and market trends in real time.
Home to over 550 people from 30+ different nations, Brandwatch is a place that challenges, motivates and supports its diverse staff to find answers to new problems in an ever-changing social world. Better. Bolder. More Brilliant.
Professional Services is a core component of Customer Success at Brandwatch. As a team, we strive to enable and advance our clients’ use of social data across their organisations by taking them from data, to insights, to actions that have a real business impact and empower our users’ long-term self-sufficiency.
As we continue our global expansion, we are hiring a customer-focused Junior Social Media Analyst to join our dynamic Professional Services team in Brighton. This is an exciting opportunity that offers hands-on work and the flexibility to learn, grow, and develop in the constantly changing landscape of social intelligence.
We’re looking for someone who :
Loves using data to answer questions
Solves problems for fun and enjoys testing limits
Has a keen eye for detail
Thrives on helping people
Can present technical concepts in business-friendly and user-friendly language
Wants to work with a wide variety of brands and use-cases
Prefers a hands-on, forward-thinking approach
Is comfortable working independently in a deadline-driven environment
In this role, you will:
Become a proficient user and advocate of the Brandwatch product suite
Implement effective social media measurement solutions on behalf of Brandwatch clients
Collaborate with senior colleagues to execute large, complex or novel solutions
Perform quality assurance on the work of 3rd party contributors to identify and correct data quality or validity issues
Attend client meetings as a subject-matter specialist, and represent your own work in a clear, engaging manner
Coordinate scheduling with our top-class Project Management team
Provide feedback to guide new product development
You should have:
6+ months experience working independently in an office environment (or similar)
Strong time-management and task-management skills
Computer literacy, including experience with Microsoft/Google suites (spreadsheets, presentations, documents) and familiarity with social media platforms
A degree in an analytical or business-related subject (such as marketing/market research, data analytics, business analytics, linguistics, natural sciences, computer science, engineering, economics, maths, statistics, etc.), or equivalent experience
Ability to accomodate occasional domestic and international travel
Authorisation to work in the UK without visa sponsorship
Icing on the cake:
Familiarity with social media data, social analytics platforms, or unstructured text data
Familiarity with basic statistical concepts (distributions, significance, sampling)
Fluency in another language (or two!) would be a bonus
Our Perks:
All the usual start-up temptations…cupboards bursting with snacks (a range to satisfy all taste buds), fruit boxes, drinks fridges… and of course coffee.
30 days annual leave
Macbook Pro with retina display
Freitag Frühstück - Communal Breakfast in the Berlin office every Friday.
To all recruitment agencies: Brandwatch does not accept agency resumes. Please do not forward resumes to our jobs alias or Brandwatch employees. Brandwatch is not responsible for any fees related to unsolicited resumes.
We have an exciting opportunity for a Data Analyst, working within the BI & Data Domain of Whitbread IT. You will be working across the whole project lifecycle, from requirements elicitation through UAT to post-implementation support, helping us understand our data needs across applications. Core to this role is stakeholder engagement within IT, with the business and with external 3rd parties.
Whitbread is the UK's leading hospitality company in the FTSE 100 including brands such as Premier Inn and Beefeater Restaurants. By 2020, our goal is to increase the number of Premier Inn UK rooms to an incredible 85,000. All while creating around 3,000 UK jobs a year and continuing to expand our presence worldwide. There has never been a more exciting time to Whitbread!
What you will be doing:
Analyse data from master data and operational systems
Document existing data structures, investigate data quality issues and make recommendations for remediation
Obtain and profile source data samples
Define data mapping rules (validation, cleansing, transformation, etc.)
Run workshops with business stakeholders and suppliers
Facilitate design sessions with the wider technology organisation to define the solution
Deliver elements of systems design, including data models, migration rules, business rules or other detailed deliverables.
Develop relationships with key stakeholders from a variety of teams across the business and effectively communicate the data models
Capturing data requirements from stakeholders and business counterparts.
Translating business needs into data models and related data artefacts.
Preparation of technical design documents and diagrams.
Key contributor to Data Mapping and Data Migration projects.
Validation of 3rd Party Data Models.
Creating and managing Conceptual, Logical and Physical data models.
What we are looking for:
Solid experience of data modelling (conceptual, logical, physical; 3NF, dimensional), e.g., working with a 3rd party to ensure that a proposed solution meets requirements
Experience of data interface/contract specification
Excellent knowledge of requirements gathering processes and proven data analysis and problem-solving techniques
Presentation and facilitation skills
Experience of supporting testing, e.g., supporting functional, integration and UAT testing
Ability to focus on individual tasks, but with the confidence to ask for help when required
Experience of implementation planning (e.g., data migration)
A good understanding of different modelling paradigms such as Kimball/Inmon;
Strong understanding of data protocols
Experience of defining standards for tools and techniques for data analysis/modelling
Exposure to a variety of development methodologies and techniques, both Waterfall and Agile
12/07/2019
Full time
We have an exciting opportunity for a Data Analyst, working within the BI & Data Domain of Whitbread IT. You will be working across the whole project lifecycle, from requirements elicitation through UAT to post-implementation support, helping us understand our data needs across applications. Core to this role is stakeholder engagement within IT, with the business and with external 3rd parties.
Whitbread is the UK's leading hospitality company in the FTSE 100 including brands such as Premier Inn and Beefeater Restaurants. By 2020, our goal is to increase the number of Premier Inn UK rooms to an incredible 85,000. All while creating around 3,000 UK jobs a year and continuing to expand our presence worldwide. There has never been a more exciting time to Whitbread!
What you will be doing:
Analyse data from master data and operational systems
Document existing data structures, investigate data quality issues and make recommendations for remediation
Obtain and profile source data samples
Define data mapping rules (validation, cleansing, transformation, etc.)
Run workshops with business stakeholders and suppliers
Facilitate design sessions with the wider technology organisation to define the solution
Deliver elements of systems design, including data models, migration rules, business rules or other detailed deliverables.
Develop relationships with key stakeholders from a variety of teams across the business and effectively communicate the data models
Capturing data requirements from stakeholders and business counterparts.
Translating business needs into data models and related data artefacts.
Preparation of technical design documents and diagrams.
Key contributor to Data Mapping and Data Migration projects.
Validation of 3rd Party Data Models.
Creating and managing Conceptual, Logical and Physical data models.
What we are looking for:
Solid experience of data modelling (conceptual, logical, physical; 3NF, dimensional), e.g., working with a 3rd party to ensure that a proposed solution meets requirements
Experience of data interface/contract specification
Excellent knowledge of requirements gathering processes and proven data analysis and problem-solving techniques
Presentation and facilitation skills
Experience of supporting testing, e.g., supporting functional, integration and UAT testing
Ability to focus on individual tasks, but with the confidence to ask for help when required
Experience of implementation planning (e.g., data migration)
A good understanding of different modelling paradigms such as Kimball/Inmon;
Strong understanding of data protocols
Experience of defining standards for tools and techniques for data analysis/modelling
Exposure to a variety of development methodologies and techniques, both Waterfall and Agile
At FACEIT we’re looking for an Junior Data Scientist with good foundations in a wide range of programming, mathematical, statistical and data science techniques. The ideal candidate will be happy working alone but will still be a team player who can confidently and proactively communicate across the organisation.
Responsibilities:
Help us expand our existing reporting and dashboard solutions.
Design and perform statistical analysis which will help us understand our userbase better and which will support our A/B Testing needs.
Run ad-hoc queries against our data warehouse.
Work closely with various technical and non-technical business areas and make sure that strategic decisions are backed by the available data.
Required Skills
Advanced SQL (common table extensions, window functions etc.) - any flavour will do;
Good knowledge of of the Python data analysis toolkit (jupyter notebooks, numpy, pandas, matplotlib, plotly etc.). Knowledge of R / SaS / Stata will also be considered;
Solid understanding of basic statistics fundamentals and applications (such as designing and interpreting A/B tests, cohort analysis, t-tests, z-tests, hypothesis etc.);
Any experience with BI tools like Mode Analytics/Tableau/Looker and web analytics platforms like Mixpanel and Keen Io;
Ability to quickly learn new concepts and apply them.
Bonus Skills
Hands-on experience with cloud platform solutions like Google Cloud Platform (Compute Engine, BigQuery, Cloud Storage), or AWS (EC2, Redshift, Athena, S3);
Git for version control;
Linux/Unix experience and use of command line tools;
Exposure to data science techniques (supervised and unsupervised machine learning algorithms, time series analysis, outlier detection), ideally in a production environment;
An interest in data engineering and in working with unstructured data;
Passionate about learning new, cutting-edge technologies and finding applicable business cases as needed;
A passion for gaming.
Bonus Skills
B.Sc. in applied statistics, mathematics, physics, data science, or a related discipline.
09/07/2019
Full time
At FACEIT we’re looking for an Junior Data Scientist with good foundations in a wide range of programming, mathematical, statistical and data science techniques. The ideal candidate will be happy working alone but will still be a team player who can confidently and proactively communicate across the organisation.
Responsibilities:
Help us expand our existing reporting and dashboard solutions.
Design and perform statistical analysis which will help us understand our userbase better and which will support our A/B Testing needs.
Run ad-hoc queries against our data warehouse.
Work closely with various technical and non-technical business areas and make sure that strategic decisions are backed by the available data.
Required Skills
Advanced SQL (common table extensions, window functions etc.) - any flavour will do;
Good knowledge of of the Python data analysis toolkit (jupyter notebooks, numpy, pandas, matplotlib, plotly etc.). Knowledge of R / SaS / Stata will also be considered;
Solid understanding of basic statistics fundamentals and applications (such as designing and interpreting A/B tests, cohort analysis, t-tests, z-tests, hypothesis etc.);
Any experience with BI tools like Mode Analytics/Tableau/Looker and web analytics platforms like Mixpanel and Keen Io;
Ability to quickly learn new concepts and apply them.
Bonus Skills
Hands-on experience with cloud platform solutions like Google Cloud Platform (Compute Engine, BigQuery, Cloud Storage), or AWS (EC2, Redshift, Athena, S3);
Git for version control;
Linux/Unix experience and use of command line tools;
Exposure to data science techniques (supervised and unsupervised machine learning algorithms, time series analysis, outlier detection), ideally in a production environment;
An interest in data engineering and in working with unstructured data;
Passionate about learning new, cutting-edge technologies and finding applicable business cases as needed;
A passion for gaming.
Bonus Skills
B.Sc. in applied statistics, mathematics, physics, data science, or a related discipline.
We are looking for an experienced Data Scientist to join our team based out of our HQ in Coventry. This is a truly diverse role which could potentially see the successful applicant work across all areas of the business helping to solve and understand some of our largest business challenges. Key accountabilities will include; - Develop hypotheses for the experiment with the relevant SMEs - Develop data models, analytics and statistical models - Validate data and test model outputs - Support sponsors business case for productionisation - Present results to leadership team and business change leaders
Experience you will need to succeed in the role:
To meet the demands of this role you will need a high level mathematical and analytical skillset. Experienced in interpreting and eloquently delivering the results of findings, by visualisation techniques, building data science apps, or narrating interesting stories about the solutions to data problems. Data modelling experience and a good level of SQL skills are both essential as it experience of Program analytics “R” / Python.
How will we reward you?
• Competitive salary • An all-employee bonus based on company performance. (2020 onwards) • A market-leading defined contribution scheme –where we will double any contributions you make (up to a maximum of 15% of your salary). • 28 days’ holiday plus 8 bank holidays, with the option to buy or sell up to 5 additional days per year • Comprehensive flexible benefits scheme
Location:
We’re based at Severn Trent Centre in the heart of Coventry city centre, right by the train and bus stations. With an onsite Costa Coffee and Restaurant, we have everything you’ll need onsite, however the city’s shopping, restaurants and cafés are just a short walk away.
Who are Severn Trent?
Think of water and you probably think of us. We’re one of the largest regulated water companies across England and Wales. Severn Trent runs through the heart of the UK, providing essential services from the Bristol Channel to the Humber, and from Shropshire to the East Midlands. Our teams are dedicated to maintaining the flow of water to and from our customers’ homes. We’re continually investing in our people and infrastructure, so everyone can tap into the wonderful water we provide well into the future.
Wonderful for all
We’re building an inclusive company. We’ve created a culture that encourages all of our people to think of every single day as an opportunity to do something better. Our most ambitious goals depend on forward-thinking ideas, no matter who they come from. As employers, we welcome people from all walks of life and promote diversity and inclusion.
09/07/2019
Full time
We are looking for an experienced Data Scientist to join our team based out of our HQ in Coventry. This is a truly diverse role which could potentially see the successful applicant work across all areas of the business helping to solve and understand some of our largest business challenges. Key accountabilities will include; - Develop hypotheses for the experiment with the relevant SMEs - Develop data models, analytics and statistical models - Validate data and test model outputs - Support sponsors business case for productionisation - Present results to leadership team and business change leaders
Experience you will need to succeed in the role:
To meet the demands of this role you will need a high level mathematical and analytical skillset. Experienced in interpreting and eloquently delivering the results of findings, by visualisation techniques, building data science apps, or narrating interesting stories about the solutions to data problems. Data modelling experience and a good level of SQL skills are both essential as it experience of Program analytics “R” / Python.
How will we reward you?
• Competitive salary • An all-employee bonus based on company performance. (2020 onwards) • A market-leading defined contribution scheme –where we will double any contributions you make (up to a maximum of 15% of your salary). • 28 days’ holiday plus 8 bank holidays, with the option to buy or sell up to 5 additional days per year • Comprehensive flexible benefits scheme
Location:
We’re based at Severn Trent Centre in the heart of Coventry city centre, right by the train and bus stations. With an onsite Costa Coffee and Restaurant, we have everything you’ll need onsite, however the city’s shopping, restaurants and cafés are just a short walk away.
Who are Severn Trent?
Think of water and you probably think of us. We’re one of the largest regulated water companies across England and Wales. Severn Trent runs through the heart of the UK, providing essential services from the Bristol Channel to the Humber, and from Shropshire to the East Midlands. Our teams are dedicated to maintaining the flow of water to and from our customers’ homes. We’re continually investing in our people and infrastructure, so everyone can tap into the wonderful water we provide well into the future.
Wonderful for all
We’re building an inclusive company. We’ve created a culture that encourages all of our people to think of every single day as an opportunity to do something better. Our most ambitious goals depend on forward-thinking ideas, no matter who they come from. As employers, we welcome people from all walks of life and promote diversity and inclusion.
About the Analysis and Insights department
Analysis and Insights provides high quality research and analytical services to underpin the business and meet the needs of external customers, using data to help students connect to the right opportunities for them.
Over the past six years, we’ve strengthened our data and analysis capability to help applicants’ decision-making, made admissions more effective for universities and schools, and enabled the UK to have the highest public understanding of the process of university admissions. Behind the scenes, we use our research capability to make important decisions on running our admissions services, and help universities, and schools achieve their objectives.
We’re now investing further in data and analysis – take a look at our vacancies to see how you can get involved.
About the role
We have exciting opportunities available for Junior Data Scientists to join our Analysis and Insights Team. Working alongside our growing team of cutting-edge Data Scientists, you will have the opportunity to work on a varied and broad spectrum of data-driven projects and services.
UCAS is an independent charity, supporting access to Higher Education. UCAS Media is its commercial arm, where funds raised are gift-aided back to the charity to support its mission. Our Analysis and Insights business unit straddles both areas – which means our data scientists get to work on a varied and broad spectrum of data-driven projects and services. You could be publishing insights about widening participation, supporting and developing the delivery of multi-million pound marketing services, or creating the next big product that could revolutionise how customers interact with data.
In this programme – working alongside our growing team of cutting-edge Data Scientists – we’ll give you a structured development plan which will see you contributing from day one as you train.
About data science at UCAS
A career in data science at UCAS is different. We’re using data for both charitable, and commercial benefit – ensuring our business thrives, and helping change the lives of young people as they make decisions about their future.
To achieve this, we’re using advanced data engineering, machine learning, algorithmic matching, and emerging technologies, with open source tools. Our work unlocks insight which supports universities to develop their strategies, informs national debate on higher education at the highest levels of Government, and is at the heart of a whole suite of marketing services. Bottom line, it’s important work.
We run regular Data Science Masterclasses here in the UCAS offices, featuring speakers from our team, plus other great organisations, such as Rolls Royce, BT, and McLaren. Our next meetups are already planned, as we continue to drive sharing, innovation, and improvement in the data science industry.
What you’ll get
Dedicated support and training in analytical programming.
A distinctive programme of work within the Analysis and Insights team, where you will be involved in solving real problems from day one, and will gain the full range of skills to progress your career.
The support of being paired with one of our experienced data scientists, and regular meetings with the Director of Analysis and Insights, and other senior members of the team.
The opportunity to present your best work to UCAS' Executive team, and receive support and advice on the next step in your data science career.
Who you are
We’re looking for forward-thinking, innovative, and dynamic data scientists, who can contribute to our continued growth and success. You’ll be ambitious, looking for challenge, and to work at pace. In return, we’ll offer exciting work opportunities, a great culture, and benefits that reward your high performance.
To be considered, you should be able to show that you have:
exceptional levels of numerate, analytical and logical thinking.
drive to find things out that really matter from data.
potential to learn and apply analytical programming at the highest level.
personal values and attributes for being a leading data scientist.
a commercial mindset and excellent interpersonal skills.
Data scientists come from a variety of backgrounds, but you are most likely to have very strong quantitative skills, reflected in high grades in mathematics or a physical science at A level (or equivalent). You might also have some computer programming experience. Being able to combine your ideas with the ability to create results through structured code is key to these roles.
Application process and key dates
If you think you have the potential and ambition to succeed on our graduate programme, apply now! Please send your CV and a supporting statement of no more than 600 words, telling us about something you’ve done which demonstrates your potential to succeed as a Data Scientist at UCAS.
Apply now
Deadline for applications: Sunday 21 July 2019
Assessment and interview day: Wednesday 31 July 2019
Start date: TBC
09/07/2019
Full time
About the Analysis and Insights department
Analysis and Insights provides high quality research and analytical services to underpin the business and meet the needs of external customers, using data to help students connect to the right opportunities for them.
Over the past six years, we’ve strengthened our data and analysis capability to help applicants’ decision-making, made admissions more effective for universities and schools, and enabled the UK to have the highest public understanding of the process of university admissions. Behind the scenes, we use our research capability to make important decisions on running our admissions services, and help universities, and schools achieve their objectives.
We’re now investing further in data and analysis – take a look at our vacancies to see how you can get involved.
About the role
We have exciting opportunities available for Junior Data Scientists to join our Analysis and Insights Team. Working alongside our growing team of cutting-edge Data Scientists, you will have the opportunity to work on a varied and broad spectrum of data-driven projects and services.
UCAS is an independent charity, supporting access to Higher Education. UCAS Media is its commercial arm, where funds raised are gift-aided back to the charity to support its mission. Our Analysis and Insights business unit straddles both areas – which means our data scientists get to work on a varied and broad spectrum of data-driven projects and services. You could be publishing insights about widening participation, supporting and developing the delivery of multi-million pound marketing services, or creating the next big product that could revolutionise how customers interact with data.
In this programme – working alongside our growing team of cutting-edge Data Scientists – we’ll give you a structured development plan which will see you contributing from day one as you train.
About data science at UCAS
A career in data science at UCAS is different. We’re using data for both charitable, and commercial benefit – ensuring our business thrives, and helping change the lives of young people as they make decisions about their future.
To achieve this, we’re using advanced data engineering, machine learning, algorithmic matching, and emerging technologies, with open source tools. Our work unlocks insight which supports universities to develop their strategies, informs national debate on higher education at the highest levels of Government, and is at the heart of a whole suite of marketing services. Bottom line, it’s important work.
We run regular Data Science Masterclasses here in the UCAS offices, featuring speakers from our team, plus other great organisations, such as Rolls Royce, BT, and McLaren. Our next meetups are already planned, as we continue to drive sharing, innovation, and improvement in the data science industry.
What you’ll get
Dedicated support and training in analytical programming.
A distinctive programme of work within the Analysis and Insights team, where you will be involved in solving real problems from day one, and will gain the full range of skills to progress your career.
The support of being paired with one of our experienced data scientists, and regular meetings with the Director of Analysis and Insights, and other senior members of the team.
The opportunity to present your best work to UCAS' Executive team, and receive support and advice on the next step in your data science career.
Who you are
We’re looking for forward-thinking, innovative, and dynamic data scientists, who can contribute to our continued growth and success. You’ll be ambitious, looking for challenge, and to work at pace. In return, we’ll offer exciting work opportunities, a great culture, and benefits that reward your high performance.
To be considered, you should be able to show that you have:
exceptional levels of numerate, analytical and logical thinking.
drive to find things out that really matter from data.
potential to learn and apply analytical programming at the highest level.
personal values and attributes for being a leading data scientist.
a commercial mindset and excellent interpersonal skills.
Data scientists come from a variety of backgrounds, but you are most likely to have very strong quantitative skills, reflected in high grades in mathematics or a physical science at A level (or equivalent). You might also have some computer programming experience. Being able to combine your ideas with the ability to create results through structured code is key to these roles.
Application process and key dates
If you think you have the potential and ambition to succeed on our graduate programme, apply now! Please send your CV and a supporting statement of no more than 600 words, telling us about something you’ve done which demonstrates your potential to succeed as a Data Scientist at UCAS.
Apply now
Deadline for applications: Sunday 21 July 2019
Assessment and interview day: Wednesday 31 July 2019
Start date: TBC
Big Data Engineer United Kingdom | Remote | Work from Home Why you? Are you a UK or European based Big Data Engineer or Developer who can provide consulting services to Pythian clients including planning, designing and implementing new solutions using the latest Big Data technologies? Do you want to work remotely to implement and help develop a cutting edge Big Data solutions, create data pipelines which will migrate data from customers on-prem systems and load it into a cloud hosted Enterprise Data Platforms? Do you want to work on large scale custom Big Data consulting projects? If you have a passion for big data and solving complex problems then this could be the job for you! What will you be doing?
Working with the Data Architects to implement data pipelines
Working with our Big Data Principal Architects in the development both proof of concepts and complete implementations.
Working on complex and varied Big Data projects including tasks such as collecting, parsing, managing, analyzing, and visualizing very large datasets.
Translating complex functional and technical requirements into detailed designs.
Writing high-performance, reliable and maintainable code.
Performing data processing requirements analysis.
Performance tuning for batch and real-time data processing.
Securing components of clients’ Big Data platforms.
Diagnostics and troubleshooting of operational issues.
Health-checks and configuration reviews.
Data pipelines development – ingestion, transformation, cleansing.
Data flow integration with external systems.
Integration with data access tools and products.
Assisting application developers and advising on efficient data access and manipulations.
Defining and implementing efficient operational processes
Dogfooding our product is important, so a short (~3 month) on call rotation with second level support is required for all team members. This works out to needing to be on call less than once a year and ensures quality of implementations.
What do we need from you?
While we realise you might not have everything on the list to be the successful candidate for the Big Data Developer job you will likely have at least 5 years experience in similar roles. The position requires specialized knowledge and experience in performing the following:
Experience building data pipelines in any public cloud (GCP Dataflow, Glue, Azure DataFactory) or any equivalent
Experience writing ETL (Any popular tools)
Experience in data modeling, data design and persistence (e.g. warehousing, data marts, data lakes).
Strong Knowledge of Big Data architectures and distributed data processing frameworks: Hadoop, Spark, Kafka, Hive
Experience and working knowledge of various development platforms, frameworks and languages such as Java, Python, Scala and SQL
Experience with Apache Airflow, Oozie and Nifi would be great
General knowledge of modern data-center and cloud infrastructure including server hardware, networking and storage.
Strong written and verbal English communication skills
Nice-to-haves
Experience with BI platforms, reporting tools, data visualization products, ETL engines.
Experience with data streaming frameworks.
DevOps experience with a good understanding of continuous delivery and deployment patterns and tools (Jenkins, Artifactory, Maven, etc)
Experience with Hbase.
Experience in data management best practices, real-time and batch data integration, and data rationalization
What do you get in return?
Competitive total rewards package
Flexible work environment: Why commute? Work remotely from your home, there’s no daily travel requirement to an office!
Outstanding people: Collaborate with the industry’s top minds.
Substantial training allowance: Hone your skills or learn new ones; participate in professional development days, attend conferences, become certified, whatever you like!
Amazing time off: Start with a minimum 3 weeks vacation, 7 sick days, and 2 professional development days!
Office Allowance: A device of your choosing and personalise your work environment!
Fun, fun, fun: Blog during work hours; take a day off and volunteer for your favorite charity.
Why Pythian? Established in 1997, Pythian is a global IT Data company based in Ottawa, Canada that specializes in designing, implementing, and managing systems that directly contribute to revenue and business success. We help companies adopt disruptive technologies such as advanced analytics, big data, cloud, databases, DevOps and infrastructure management to advance innovation and increase agility. We are focusing on product development leveraging new and exciting technology that will empower our customers through digital transformation. Pythian is seeking a Big Data developer who will be a technical contributor to Pythian's Big Data consulting team. More than just a job we hire people who love what they do! Intrigued to see what a job is like at Pythian or check us out @Pythian and #pythianlife . Follow @PythianJobs on Twitter and @loveyourdata on Instagram! Not the right job for you? Check out what other great jobs Pythian has open in Brazil and around the world! Pythian Careers Disclaimers
Pythian is an equal opportunity employer and welcomes applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
The successful applicant will need to fulfill the requirements necessary to obtain a background check.
All applicants must be legally authorized to work in the UK or EU permanently– Pythian will not sponsor, or file petitions of any kind on behalf of, a foreign worker to become a UK or EU permanent resident based on a permanent job offer, or to otherwise obtain authorization to work in the EU.
No Recruitment agencies please
15/06/2019
Full time
Big Data Engineer United Kingdom | Remote | Work from Home Why you? Are you a UK or European based Big Data Engineer or Developer who can provide consulting services to Pythian clients including planning, designing and implementing new solutions using the latest Big Data technologies? Do you want to work remotely to implement and help develop a cutting edge Big Data solutions, create data pipelines which will migrate data from customers on-prem systems and load it into a cloud hosted Enterprise Data Platforms? Do you want to work on large scale custom Big Data consulting projects? If you have a passion for big data and solving complex problems then this could be the job for you! What will you be doing?
Working with the Data Architects to implement data pipelines
Working with our Big Data Principal Architects in the development both proof of concepts and complete implementations.
Working on complex and varied Big Data projects including tasks such as collecting, parsing, managing, analyzing, and visualizing very large datasets.
Translating complex functional and technical requirements into detailed designs.
Writing high-performance, reliable and maintainable code.
Performing data processing requirements analysis.
Performance tuning for batch and real-time data processing.
Securing components of clients’ Big Data platforms.
Diagnostics and troubleshooting of operational issues.
Health-checks and configuration reviews.
Data pipelines development – ingestion, transformation, cleansing.
Data flow integration with external systems.
Integration with data access tools and products.
Assisting application developers and advising on efficient data access and manipulations.
Defining and implementing efficient operational processes
Dogfooding our product is important, so a short (~3 month) on call rotation with second level support is required for all team members. This works out to needing to be on call less than once a year and ensures quality of implementations.
What do we need from you?
While we realise you might not have everything on the list to be the successful candidate for the Big Data Developer job you will likely have at least 5 years experience in similar roles. The position requires specialized knowledge and experience in performing the following:
Experience building data pipelines in any public cloud (GCP Dataflow, Glue, Azure DataFactory) or any equivalent
Experience writing ETL (Any popular tools)
Experience in data modeling, data design and persistence (e.g. warehousing, data marts, data lakes).
Strong Knowledge of Big Data architectures and distributed data processing frameworks: Hadoop, Spark, Kafka, Hive
Experience and working knowledge of various development platforms, frameworks and languages such as Java, Python, Scala and SQL
Experience with Apache Airflow, Oozie and Nifi would be great
General knowledge of modern data-center and cloud infrastructure including server hardware, networking and storage.
Strong written and verbal English communication skills
Nice-to-haves
Experience with BI platforms, reporting tools, data visualization products, ETL engines.
Experience with data streaming frameworks.
DevOps experience with a good understanding of continuous delivery and deployment patterns and tools (Jenkins, Artifactory, Maven, etc)
Experience with Hbase.
Experience in data management best practices, real-time and batch data integration, and data rationalization
What do you get in return?
Competitive total rewards package
Flexible work environment: Why commute? Work remotely from your home, there’s no daily travel requirement to an office!
Outstanding people: Collaborate with the industry’s top minds.
Substantial training allowance: Hone your skills or learn new ones; participate in professional development days, attend conferences, become certified, whatever you like!
Amazing time off: Start with a minimum 3 weeks vacation, 7 sick days, and 2 professional development days!
Office Allowance: A device of your choosing and personalise your work environment!
Fun, fun, fun: Blog during work hours; take a day off and volunteer for your favorite charity.
Why Pythian? Established in 1997, Pythian is a global IT Data company based in Ottawa, Canada that specializes in designing, implementing, and managing systems that directly contribute to revenue and business success. We help companies adopt disruptive technologies such as advanced analytics, big data, cloud, databases, DevOps and infrastructure management to advance innovation and increase agility. We are focusing on product development leveraging new and exciting technology that will empower our customers through digital transformation. Pythian is seeking a Big Data developer who will be a technical contributor to Pythian's Big Data consulting team. More than just a job we hire people who love what they do! Intrigued to see what a job is like at Pythian or check us out @Pythian and #pythianlife . Follow @PythianJobs on Twitter and @loveyourdata on Instagram! Not the right job for you? Check out what other great jobs Pythian has open in Brazil and around the world! Pythian Careers Disclaimers
Pythian is an equal opportunity employer and welcomes applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
The successful applicant will need to fulfill the requirements necessary to obtain a background check.
All applicants must be legally authorized to work in the UK or EU permanently– Pythian will not sponsor, or file petitions of any kind on behalf of, a foreign worker to become a UK or EU permanent resident based on a permanent job offer, or to otherwise obtain authorization to work in the EU.
No Recruitment agencies please
About Operations
Our busy Operations team works within industry guidelines to ensure that the highest possible quality of utility data is delivered to Suppliers promptly. We work closely as a team and with external agents to achieve this end and we deal with a wide range of issues that prevent or delay high quality data provision.
The Data Collector and Analyst role requires you to:
Validate the quality of utility data
Investigate and resolve appointment anomalies
Respond to a wide range of internal and external queries
Participate in data collection & associated activities, with the enthusiasm and drive necessary to ensure data is delivered in accordance with the team’s published service levels
Fully adhere to industry regulations and standards
Please note: Complex data or spreadsheet analysis is not a part of our daily work
Skills and Experience required:
Proven excellent and high standard of communication skills, both written and verbal
Initiative, drive and tenacity
The ability to coordinate and liaise professionally with internal and external parties
An investigative and enquiring approach
Strong problem-solving skills with the ability to think laterally
Good organisational skills
The ability to focus on complex issues and to enjoy working to achieve complete resolution
A good working knowledge of Excel, Word, Access and Outlook
Minimum qualifications required:
GSCE (or equivalent) Grade A-B Maths, English and a Science
A minimum of 2 ‘good’ passes at A level or equivalent required including Maths and a Science. If only one of these is offered, the other pass must be in a subject that requires a high level of literacy e.g. English, History
A degree is desirable
12/07/2019
Full time
About Operations
Our busy Operations team works within industry guidelines to ensure that the highest possible quality of utility data is delivered to Suppliers promptly. We work closely as a team and with external agents to achieve this end and we deal with a wide range of issues that prevent or delay high quality data provision.
The Data Collector and Analyst role requires you to:
Validate the quality of utility data
Investigate and resolve appointment anomalies
Respond to a wide range of internal and external queries
Participate in data collection & associated activities, with the enthusiasm and drive necessary to ensure data is delivered in accordance with the team’s published service levels
Fully adhere to industry regulations and standards
Please note: Complex data or spreadsheet analysis is not a part of our daily work
Skills and Experience required:
Proven excellent and high standard of communication skills, both written and verbal
Initiative, drive and tenacity
The ability to coordinate and liaise professionally with internal and external parties
An investigative and enquiring approach
Strong problem-solving skills with the ability to think laterally
Good organisational skills
The ability to focus on complex issues and to enjoy working to achieve complete resolution
A good working knowledge of Excel, Word, Access and Outlook
Minimum qualifications required:
GSCE (or equivalent) Grade A-B Maths, English and a Science
A minimum of 2 ‘good’ passes at A level or equivalent required including Maths and a Science. If only one of these is offered, the other pass must be in a subject that requires a high level of literacy e.g. English, History
A degree is desirable
Division / Department - Corporate Development Grade - Grade G Status - Full Time Contract Type - Permanent Salary Grade Range - £26,744 - £31,941 Working Hours - 36.0 Hours per Week The starting salary for this role will usually be at the bottom of the salary range.
The Role
Surrey Police is looking for a Performance Analysts on a permanent contract to support a range of operational and business support portfolios. We are seeking bright and enthusiastic individuals of graduate calibre (degree in analytical subject within social sciences/mathematics or with well proven and evidenced experience of numerical or research analysis in a law enforcement environment) to join our highly skilled performance analysts. As an analyst within the Performance & Consultation Unit you will be regularly monitoring and identifying performance risks and opportunities that have the potential to impact on the force's strategy and the public's priorities. You will be highly regarded throughout the force for your well-developed technical and mathematical skills and will take the lead on developing, maintaining and communicating performance frameworks for your respective areas of responsibility.
Key Responsibilities
To be responsible for the on-going development, integrity, and delivery of management information. To prepare it in the form of products and reports providing quantitative and qualitative analysis in support of the force’s strategy as well as other national, regional and local government requirements. Your work will play a key role in assessing the force’s performance in relation to the Force’s strategy for service delivery. To proactively liaise with customers to provide them with timely, accurate and relevant assessments of performance in relation to the force’s strategy.
Skills & Experience
Successful candidates will be expected to have outstanding problem solving skills, highly computer literate including the advanced functionality of MS Excel (experience in Oracle SQL /Tableau/Power-BI highly desirable). The preferred candidates will also be familiar with analysing data and information, making inferences and explaining statistical concepts and have the ability to manage requirements and prioritise tasks across a diverse range of subject areas. Most importantly you must be an exceptional communicator; you will be expected to maintain good working relationships within the organisation, (including key stakeholders and internal customers) and with external agencies such as the Home Office and HMIC. You will also be expected to present the findings of your analysis to senior leaders, who will use your insight and analysis to support their decision making.
Contact Details
For further information please contact Tony Fenton-Jones (tony.fenton-jones@surrey.pnn.police.uk) Previously unsuccessful candidates who have applied for this post in past 6 months should not reapply. The successful candidate will start as a junior performance analyst (grade G) with the opportunity to develop a portfolio of work that can lead them to an established analyst position on grade H, usually within two years of starting.
Additional Information
This post is being advertised in parallel with Force redeployment processes. Any redeployees who are identified will be given preference. This may result in the post being withdrawn at any point during the recruitment process. If you are an internal candidate looking to apply for this role, please ensure that you discuss your application with your line manager before submitting an application. If you are conditionally offered the role your attendance record and any reasonable adjustments already in place will be discussed with yourself and your current line manager. Please note that not all jobs are available for internal candidates across both Forces, the current agreed recruitment principles are;
vacancies in collaborated units are available to all officers and staff across both Forces
vacancies in non-collaborated units are only available to officers and staff within the Force with the vacancy unless it is advertised externally. If the vacancy is advertised externally and an officer or member of staff from the other Force is success it will result in a transfer of employment.
Surrey Police and Sussex Police Special Constables, Volunteers and Agency Staff (excluding self employed workers) covered under the Agency Worker Regulations (AWR) are eligible to apply for internal advertised posts. Applications will only be accepted by clicking the 'Apply Now' button. CVs are not accepted as part of our recruitment process.
Diversity Statement
Surrey Police and Sussex Police are committed to providing quality in the service we deliver, the career opportunities we offer our people and to increase the diversity of our workforce to reflect the community we serve. We value diversity and inclusion and want to attract the best people for the roles available regardless of age, ethnicity, sexual orientation, gender identity, sex, disability, social status and religious beliefs. We want to do all we can to encourage fair and inclusive opportunities, helping us to ensure that all individuals are properly supported and represented. We are committed to the elimination of unfair discrimination and we are determined to ensure that all or employees receive fair and equitable treatment. We are particularly keen to hear from applicants who are from different ethnic backgrounds and experiences.
12/07/2019
Full time
Division / Department - Corporate Development Grade - Grade G Status - Full Time Contract Type - Permanent Salary Grade Range - £26,744 - £31,941 Working Hours - 36.0 Hours per Week The starting salary for this role will usually be at the bottom of the salary range.
The Role
Surrey Police is looking for a Performance Analysts on a permanent contract to support a range of operational and business support portfolios. We are seeking bright and enthusiastic individuals of graduate calibre (degree in analytical subject within social sciences/mathematics or with well proven and evidenced experience of numerical or research analysis in a law enforcement environment) to join our highly skilled performance analysts. As an analyst within the Performance & Consultation Unit you will be regularly monitoring and identifying performance risks and opportunities that have the potential to impact on the force's strategy and the public's priorities. You will be highly regarded throughout the force for your well-developed technical and mathematical skills and will take the lead on developing, maintaining and communicating performance frameworks for your respective areas of responsibility.
Key Responsibilities
To be responsible for the on-going development, integrity, and delivery of management information. To prepare it in the form of products and reports providing quantitative and qualitative analysis in support of the force’s strategy as well as other national, regional and local government requirements. Your work will play a key role in assessing the force’s performance in relation to the Force’s strategy for service delivery. To proactively liaise with customers to provide them with timely, accurate and relevant assessments of performance in relation to the force’s strategy.
Skills & Experience
Successful candidates will be expected to have outstanding problem solving skills, highly computer literate including the advanced functionality of MS Excel (experience in Oracle SQL /Tableau/Power-BI highly desirable). The preferred candidates will also be familiar with analysing data and information, making inferences and explaining statistical concepts and have the ability to manage requirements and prioritise tasks across a diverse range of subject areas. Most importantly you must be an exceptional communicator; you will be expected to maintain good working relationships within the organisation, (including key stakeholders and internal customers) and with external agencies such as the Home Office and HMIC. You will also be expected to present the findings of your analysis to senior leaders, who will use your insight and analysis to support their decision making.
Contact Details
For further information please contact Tony Fenton-Jones (tony.fenton-jones@surrey.pnn.police.uk) Previously unsuccessful candidates who have applied for this post in past 6 months should not reapply. The successful candidate will start as a junior performance analyst (grade G) with the opportunity to develop a portfolio of work that can lead them to an established analyst position on grade H, usually within two years of starting.
Additional Information
This post is being advertised in parallel with Force redeployment processes. Any redeployees who are identified will be given preference. This may result in the post being withdrawn at any point during the recruitment process. If you are an internal candidate looking to apply for this role, please ensure that you discuss your application with your line manager before submitting an application. If you are conditionally offered the role your attendance record and any reasonable adjustments already in place will be discussed with yourself and your current line manager. Please note that not all jobs are available for internal candidates across both Forces, the current agreed recruitment principles are;
vacancies in collaborated units are available to all officers and staff across both Forces
vacancies in non-collaborated units are only available to officers and staff within the Force with the vacancy unless it is advertised externally. If the vacancy is advertised externally and an officer or member of staff from the other Force is success it will result in a transfer of employment.
Surrey Police and Sussex Police Special Constables, Volunteers and Agency Staff (excluding self employed workers) covered under the Agency Worker Regulations (AWR) are eligible to apply for internal advertised posts. Applications will only be accepted by clicking the 'Apply Now' button. CVs are not accepted as part of our recruitment process.
Diversity Statement
Surrey Police and Sussex Police are committed to providing quality in the service we deliver, the career opportunities we offer our people and to increase the diversity of our workforce to reflect the community we serve. We value diversity and inclusion and want to attract the best people for the roles available regardless of age, ethnicity, sexual orientation, gender identity, sex, disability, social status and religious beliefs. We want to do all we can to encourage fair and inclusive opportunities, helping us to ensure that all individuals are properly supported and represented. We are committed to the elimination of unfair discrimination and we are determined to ensure that all or employees receive fair and equitable treatment. We are particularly keen to hear from applicants who are from different ethnic backgrounds and experiences.
The ideal candidate:
Future Games of London is looking for a Junior Data Analyst to grow our expanding Business Intelligence team. As a part of the team, you will help provide the studio with key data insights, visualisations and presentations regarding the performance of our mobile games, and the behaviour of our players. The ideal candidate goes beyond data analysis, and possesses an intense curiosity about what our metrics mean and how we can improve them.
EXPERIENCE
Experience in a similar role, ideally in the games industry or a similarly sophisticated customer-facing digital business.
However, this role is also suitable to a recent graduate who meets the prerequisite skills below.
Training can be provided, providing the Junior Data Analyst with the key technical skills required.
RESPONSIBILITIES
The successful candidate will be required to:
Create and deliver recurring performance reports internally and to Ubisoft Mobile HQ.
You will be asked to create graphs and presentations from raw data on an ad-hoc basis.
Undertake data analysis tasks under the supervision of another Data Analyst.
In particular, you will work very closely with the marketing team and game design team, helping them understand the gameplay behaviour of our players.
You will help maintain existing data visualisation dashboards, monitor AB tests and the general performance of the game.
Solve ad-hoc problems as identified by management and other stakeholders
SKILLS
The successful candidate will have:
Excellent quantitative skills and demonstrated analytical ability.
An interest in games
Intellectual curiosity.
Comfortable with turning raw data into understandable insights.
Excellent verbal and written communication and interpersonal skills.
Advanced skills in Microsoft Office Excel, Word and PowerPoint.
Business Insight: The ability to understand the problems and issues our games and business wants to solve, and then defining the right data, analysis or interpretation to lead to the right recommendations and decisions.
Communication: Designing good ways of communicating, visualising or reporting results and analysis so they are clear and unambiguous to technical and non-technical audiences.
Bachelor’s or Master’s degree in Computer Science, Economics, Mathematics, Psychology, Statistics or a related quantitative field is preferred.
SQL: The ability to write basic SQL queries to analyse our database. SQL training can be provided.
Data visualisation: The ability to translate data into clear, understandable charts, ideally with Tableau. Tableau training can be provided.
Statistics: Familiarity with core statistical functions, including regression, correlation, and significance testing is preferred.
Qualifications null Additional Information
BENEFITS:
Flexible office working hours
25 days of annual leave + 8 UK Bank holiday + Christmas company day(s) off
1 day off if you get married (Wedding Day)
Sick pay
Fresh fruit selection delivered 3 times a week, Free monthly breakfasts, Team Lunches
Beer fridge & Selected wines + other beverages
Weekly Football, Snooker table, ping pong tournaments, poker nights, Office events, social gatherings, Fun Games room
Birthday Cakes/Cards
Summer & Christmas parties, Roof terrace area
Training Budgets
Contributory pension scheme
Private healthcare, Reduced gym membership, life insurance, critical illness & Disability cover
Childcare vouchers
Season ticket loan (for tube/rail costs), Annual mobile phone/tablet allowance
Recruitment Referral Fee awards
12/07/2019
Full time
The ideal candidate:
Future Games of London is looking for a Junior Data Analyst to grow our expanding Business Intelligence team. As a part of the team, you will help provide the studio with key data insights, visualisations and presentations regarding the performance of our mobile games, and the behaviour of our players. The ideal candidate goes beyond data analysis, and possesses an intense curiosity about what our metrics mean and how we can improve them.
EXPERIENCE
Experience in a similar role, ideally in the games industry or a similarly sophisticated customer-facing digital business.
However, this role is also suitable to a recent graduate who meets the prerequisite skills below.
Training can be provided, providing the Junior Data Analyst with the key technical skills required.
RESPONSIBILITIES
The successful candidate will be required to:
Create and deliver recurring performance reports internally and to Ubisoft Mobile HQ.
You will be asked to create graphs and presentations from raw data on an ad-hoc basis.
Undertake data analysis tasks under the supervision of another Data Analyst.
In particular, you will work very closely with the marketing team and game design team, helping them understand the gameplay behaviour of our players.
You will help maintain existing data visualisation dashboards, monitor AB tests and the general performance of the game.
Solve ad-hoc problems as identified by management and other stakeholders
SKILLS
The successful candidate will have:
Excellent quantitative skills and demonstrated analytical ability.
An interest in games
Intellectual curiosity.
Comfortable with turning raw data into understandable insights.
Excellent verbal and written communication and interpersonal skills.
Advanced skills in Microsoft Office Excel, Word and PowerPoint.
Business Insight: The ability to understand the problems and issues our games and business wants to solve, and then defining the right data, analysis or interpretation to lead to the right recommendations and decisions.
Communication: Designing good ways of communicating, visualising or reporting results and analysis so they are clear and unambiguous to technical and non-technical audiences.
Bachelor’s or Master’s degree in Computer Science, Economics, Mathematics, Psychology, Statistics or a related quantitative field is preferred.
SQL: The ability to write basic SQL queries to analyse our database. SQL training can be provided.
Data visualisation: The ability to translate data into clear, understandable charts, ideally with Tableau. Tableau training can be provided.
Statistics: Familiarity with core statistical functions, including regression, correlation, and significance testing is preferred.
Qualifications null Additional Information
BENEFITS:
Flexible office working hours
25 days of annual leave + 8 UK Bank holiday + Christmas company day(s) off
1 day off if you get married (Wedding Day)
Sick pay
Fresh fruit selection delivered 3 times a week, Free monthly breakfasts, Team Lunches
Beer fridge & Selected wines + other beverages
Weekly Football, Snooker table, ping pong tournaments, poker nights, Office events, social gatherings, Fun Games room
Birthday Cakes/Cards
Summer & Christmas parties, Roof terrace area
Training Budgets
Contributory pension scheme
Private healthcare, Reduced gym membership, life insurance, critical illness & Disability cover
Childcare vouchers
Season ticket loan (for tube/rail costs), Annual mobile phone/tablet allowance
Recruitment Referral Fee awards
We are looking for a Junior Data Analyst role to join the Data Insights team based in our fantastic offices on Lower Thames Street.
With well over a billion pages of digital content viewed every month across our web and mobile products, we have access to huge amounts of exciting and unique data. Understanding our data and users is key for us to build the right products to engage our customers. The Digital Insights team sits within the larger Data team and is responsible for maintaining our key analytics systems, delivering core reporting and providing data insights to a variety of stakeholders within the business to inform and improve digital strategy. We’re a small team making a big difference!
We are Reach because it's what we do.
Every day our newsbrands - national and regional, in print and online - reach millions of people up and down the country. We are the UK's largest news publisher, with influential national newsbrands such as the Daily Mirror, Daily Express, Sunday People, Daily Record, and more than 100 distinguished regional titles.
Our brands have a long heritage of being trusted sources of news and information, with our editorial conviction and high standards of journalism providing audiences with timely information and opinion across multiple platforms.
Last year we sold 620 million newspapers, with 5.8 million readers of one of our brands each month. Our network of over 70 websites provide 24/7 coverage of news, sport and showbiz stories, with 8.1 billion page views per year.
We average 21.5 million mobile visitors – that's 60% of the entire mobile market. Each month we attract over 32 million unique visitors. That’s more than our competitors. You will help us further increase our digital audience into 2019.
Key Responsibilities
Responsible for timely and accurate delivery of data and regular reporting to key stakeholders
Managing and maintaining Reach Group site lists and classifications within different systems
Testing analytics tracking is working on new sites and platforms and investigating reported issues
Acting as the first point of contact for enquiries and requests coming through the team inbox
Helping analytics system users to self serve by assisting them with simple report set-ups (mainly Google Analytics)
Delivering ad-hoc report requests to the business using a variety of systems and information sources
Communicating insights and results at different levels to diverse audiences within the company
The Ideal Candidate
You will be comfortable working with numbers with a keen eye for identifying data patterns and anomalies, alongside a logical approach to problem solving. We work in a fast paced environment, so it’s really important that you like to work collaboratively and proactively to get stuff done. You will be a great communicator who can bring your organisation and multi-tasking skills to your role and the wider team. We will be interested in candidates who have a genuine interest in digital and more specifically digital publishing.
Package Description
In addition to competitive salaries, 25 days annual leave (plus bank holidays), bonus structures (if applicable) and a contributory pension scheme, Reach plc has a wealth of flexible benefits on offer. These include holiday purchase scheme, cycle scheme, a technology scheme in conjunction with Curry's PC World, car scheme, health cash plan, employee loans and lots of high street discounts! Our business is fully committed to health and wellbeing in the workplace with an employee assistance programme and trained mental health first aiders across the business.
Reach plc believe diversity brings benefits for our customers, our business and our people. This is why we are committed to being an inclusive employer and encourage applications from all suitable applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. We will be reviewing applications as they are received so please don't delay in submitting your application.
On submitting your application you should receive a confirmation email - if you do not please contact us at yourrecruitment@reachplc.com
12/07/2019
Full time
We are looking for a Junior Data Analyst role to join the Data Insights team based in our fantastic offices on Lower Thames Street.
With well over a billion pages of digital content viewed every month across our web and mobile products, we have access to huge amounts of exciting and unique data. Understanding our data and users is key for us to build the right products to engage our customers. The Digital Insights team sits within the larger Data team and is responsible for maintaining our key analytics systems, delivering core reporting and providing data insights to a variety of stakeholders within the business to inform and improve digital strategy. We’re a small team making a big difference!
We are Reach because it's what we do.
Every day our newsbrands - national and regional, in print and online - reach millions of people up and down the country. We are the UK's largest news publisher, with influential national newsbrands such as the Daily Mirror, Daily Express, Sunday People, Daily Record, and more than 100 distinguished regional titles.
Our brands have a long heritage of being trusted sources of news and information, with our editorial conviction and high standards of journalism providing audiences with timely information and opinion across multiple platforms.
Last year we sold 620 million newspapers, with 5.8 million readers of one of our brands each month. Our network of over 70 websites provide 24/7 coverage of news, sport and showbiz stories, with 8.1 billion page views per year.
We average 21.5 million mobile visitors – that's 60% of the entire mobile market. Each month we attract over 32 million unique visitors. That’s more than our competitors. You will help us further increase our digital audience into 2019.
Key Responsibilities
Responsible for timely and accurate delivery of data and regular reporting to key stakeholders
Managing and maintaining Reach Group site lists and classifications within different systems
Testing analytics tracking is working on new sites and platforms and investigating reported issues
Acting as the first point of contact for enquiries and requests coming through the team inbox
Helping analytics system users to self serve by assisting them with simple report set-ups (mainly Google Analytics)
Delivering ad-hoc report requests to the business using a variety of systems and information sources
Communicating insights and results at different levels to diverse audiences within the company
The Ideal Candidate
You will be comfortable working with numbers with a keen eye for identifying data patterns and anomalies, alongside a logical approach to problem solving. We work in a fast paced environment, so it’s really important that you like to work collaboratively and proactively to get stuff done. You will be a great communicator who can bring your organisation and multi-tasking skills to your role and the wider team. We will be interested in candidates who have a genuine interest in digital and more specifically digital publishing.
Package Description
In addition to competitive salaries, 25 days annual leave (plus bank holidays), bonus structures (if applicable) and a contributory pension scheme, Reach plc has a wealth of flexible benefits on offer. These include holiday purchase scheme, cycle scheme, a technology scheme in conjunction with Curry's PC World, car scheme, health cash plan, employee loans and lots of high street discounts! Our business is fully committed to health and wellbeing in the workplace with an employee assistance programme and trained mental health first aiders across the business.
Reach plc believe diversity brings benefits for our customers, our business and our people. This is why we are committed to being an inclusive employer and encourage applications from all suitable applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. We will be reviewing applications as they are received so please don't delay in submitting your application.
On submitting your application you should receive a confirmation email - if you do not please contact us at yourrecruitment@reachplc.com
Missguided is not only one of the fastest growing online ladies fashion retailers, but one of the fastest growing companies in the UK.
With our state of the art premises based in Salford Quays we are looking to build on our success with an ambitious vision for the next 5 years. To help us achieve this vision we are looking for people who have the drive and ambition to join our team at this exciting time.
We are looking for a Data Analyst to work with our current team to help Missguided develop and expand further. The Data Analyst is someone who can add innovative ideas, energy and enthusiasm into the mix. The successful candidate will need to enjoy working in a fast-paced environment and work well under pressure. This role is ideal for a graduate looking to start a career in data analysis and insight.
Key Responsibilities and Accountabilities:
The Data Analyst will provide comprehensive marketing and customer insight for the marketing teams based on customer, web, media and financial data. They will devise methods of measurement for marketing initiatives while supporting long term planning with broader insight gathered from both internal and external sources.
Specific Responsibilities and Accountabilities:
Engaging the Business
Provide a detailed and complete understanding of marketing and customer metrics for all marketing activity, territories and channels.
Partner with the Senior Data Analyst to own the delivery of insight across the business by turning large sets of data into actionable recommendations.
Build dynamic, engaging end-user reports using visualisation and presentation tools and advise key stakeholders of appropriate actions to take from them.
Relay complex data analyses and ideas in a way that tells an easy to follow, compelling narrative.
Understand business requirements by department and advise the best way to fulfil these with the data and tools available.
Commerciality
Develop and improve current ways that marketing reports on its activity, with a view to helping develop data science solutions to common marketing problems.
Develop a thorough understanding of all available data sets.
Proactively seek new opportunities for data analysis.
Data Creativity & Development
Recommend and implement appropriate solutions and methodologies to meet business requirements.
Identify & support in the resolution of data quality and integrity issues.
Develop understanding and knowledge of relevant analytical and statistical techniques and software and keep up to date with the latest methodologies.
Skills, Experience and Qualifications:
Strong communication skills and the ability to develop relationships with key stakeholders.
An understanding of the role of analytics, insight and data science in business.
An understanding of the different kinds of dataset and data types available.
Strong Excel skills are essential.
Experience (academic or commercial) with a programming language in a data analysis/statistical context (e.g. R, Python, SQL, etc.)
Awareness of, or experience with, different analytical and modelling methodologies, including but not limited to: forecasting/time series methods, descriptive statistics, regression, statistical testing.
An interest in developing data science skills, particularly in predictive analytics and machine/deep learning methodologies.
Bachelors/Masters degree in Mathematics, Statistics, Economics, Business Analytics or similar scientific field. Those holding a degree with some statistical component (e.g. Psychology) may also be considered alongside a demonstrable desire for a career in insight/data science (personal projects, etc.).
What We Will Give You:
A competitive salary
Pension (that we contribute to as well!)
25 days holiday (plus bank holidays)
Staff discount (Missguided/Mennace)
Company bonus
Wanna (internal engagement hub with access to retail discounts)
Salary Sacrifice schemes such as cycle to work and childcare vouchers
Death in service benefits
State of the art building, fun working environment, Spacious desk areas, café, kitchen areas and quiet spaces where you can plug in and work in peace
Summer working hours
Sample Sales, Regular team and companywide social events and parties
12/07/2019
Full time
Missguided is not only one of the fastest growing online ladies fashion retailers, but one of the fastest growing companies in the UK.
With our state of the art premises based in Salford Quays we are looking to build on our success with an ambitious vision for the next 5 years. To help us achieve this vision we are looking for people who have the drive and ambition to join our team at this exciting time.
We are looking for a Data Analyst to work with our current team to help Missguided develop and expand further. The Data Analyst is someone who can add innovative ideas, energy and enthusiasm into the mix. The successful candidate will need to enjoy working in a fast-paced environment and work well under pressure. This role is ideal for a graduate looking to start a career in data analysis and insight.
Key Responsibilities and Accountabilities:
The Data Analyst will provide comprehensive marketing and customer insight for the marketing teams based on customer, web, media and financial data. They will devise methods of measurement for marketing initiatives while supporting long term planning with broader insight gathered from both internal and external sources.
Specific Responsibilities and Accountabilities:
Engaging the Business
Provide a detailed and complete understanding of marketing and customer metrics for all marketing activity, territories and channels.
Partner with the Senior Data Analyst to own the delivery of insight across the business by turning large sets of data into actionable recommendations.
Build dynamic, engaging end-user reports using visualisation and presentation tools and advise key stakeholders of appropriate actions to take from them.
Relay complex data analyses and ideas in a way that tells an easy to follow, compelling narrative.
Understand business requirements by department and advise the best way to fulfil these with the data and tools available.
Commerciality
Develop and improve current ways that marketing reports on its activity, with a view to helping develop data science solutions to common marketing problems.
Develop a thorough understanding of all available data sets.
Proactively seek new opportunities for data analysis.
Data Creativity & Development
Recommend and implement appropriate solutions and methodologies to meet business requirements.
Identify & support in the resolution of data quality and integrity issues.
Develop understanding and knowledge of relevant analytical and statistical techniques and software and keep up to date with the latest methodologies.
Skills, Experience and Qualifications:
Strong communication skills and the ability to develop relationships with key stakeholders.
An understanding of the role of analytics, insight and data science in business.
An understanding of the different kinds of dataset and data types available.
Strong Excel skills are essential.
Experience (academic or commercial) with a programming language in a data analysis/statistical context (e.g. R, Python, SQL, etc.)
Awareness of, or experience with, different analytical and modelling methodologies, including but not limited to: forecasting/time series methods, descriptive statistics, regression, statistical testing.
An interest in developing data science skills, particularly in predictive analytics and machine/deep learning methodologies.
Bachelors/Masters degree in Mathematics, Statistics, Economics, Business Analytics or similar scientific field. Those holding a degree with some statistical component (e.g. Psychology) may also be considered alongside a demonstrable desire for a career in insight/data science (personal projects, etc.).
What We Will Give You:
A competitive salary
Pension (that we contribute to as well!)
25 days holiday (plus bank holidays)
Staff discount (Missguided/Mennace)
Company bonus
Wanna (internal engagement hub with access to retail discounts)
Salary Sacrifice schemes such as cycle to work and childcare vouchers
Death in service benefits
State of the art building, fun working environment, Spacious desk areas, café, kitchen areas and quiet spaces where you can plug in and work in peace
Summer working hours
Sample Sales, Regular team and companywide social events and parties
Overview
At an exciting stage in our growth, we are seeking a Junior Data Analyst to join our busy Data Management team in BiP Solutions’ headquarters in Glasgow.
About the Company
BiP Solutions is Europe’s leading provider of procurement products, systems and solutions. As a market leader in procurement and supply chain, we have more than 35 years experience in facilitating engagement between private and public sector. We have helped thousands of businesses win government tenders, and assisted the public sector in handling their procurement needs effectively and compliantly.
The Role
You will work in a fast-paced environment with the Data Management team to help leverage and maximise benefit from the use of our CRM and other systems across the BiP group of businesses. A key focus of the role will be to provide operational support around the use of CRM data and manipulate and process data across various formats to fulfil the business’s data requirements.
This is a fantastic opportunity for a numerate person (possibly a recent graduate from a scientific / numerate background) looking for a stepping stone into a career in data science. To develop your experience, you will be mentored and developed by the wider Data Management & IT Teams. To be successful you will demonstrate an interest and enthusiasm in working in a fast moving, challenging and equally rewarding role.
The Individual
The successful candidate will possess the following key skills / characteristics (commercial experience is not a prerequisite):
Familiarity with relational databases and SQL
Aptitude for and experience of analysis, charting and visualisation tools / methods
Strong MS Excel skills
Strong stakeholder and client management skills coupled with excellent communication skills
Logical and problem solving skills with a desire to get “under the hood” of problems
Ability to prioritise your workload and apply good time management skills
A high level of self-motivation whilst remaining organised and methodical
What’s on offer?
If successful, you will enjoy a highly stimulating and challenging work environment within a dynamic and rapidly growing organisation.
Competitive salary
Contributory pension scheme
Annual company performance bonus
30 days annual leave (increasing with length of service)
Health cash plan
Flexibility with working hours
Option to buy / sell up to 5 days annual leave
On-site parking
Access to SSE Hydro Club
12/07/2019
Full time
Overview
At an exciting stage in our growth, we are seeking a Junior Data Analyst to join our busy Data Management team in BiP Solutions’ headquarters in Glasgow.
About the Company
BiP Solutions is Europe’s leading provider of procurement products, systems and solutions. As a market leader in procurement and supply chain, we have more than 35 years experience in facilitating engagement between private and public sector. We have helped thousands of businesses win government tenders, and assisted the public sector in handling their procurement needs effectively and compliantly.
The Role
You will work in a fast-paced environment with the Data Management team to help leverage and maximise benefit from the use of our CRM and other systems across the BiP group of businesses. A key focus of the role will be to provide operational support around the use of CRM data and manipulate and process data across various formats to fulfil the business’s data requirements.
This is a fantastic opportunity for a numerate person (possibly a recent graduate from a scientific / numerate background) looking for a stepping stone into a career in data science. To develop your experience, you will be mentored and developed by the wider Data Management & IT Teams. To be successful you will demonstrate an interest and enthusiasm in working in a fast moving, challenging and equally rewarding role.
The Individual
The successful candidate will possess the following key skills / characteristics (commercial experience is not a prerequisite):
Familiarity with relational databases and SQL
Aptitude for and experience of analysis, charting and visualisation tools / methods
Strong MS Excel skills
Strong stakeholder and client management skills coupled with excellent communication skills
Logical and problem solving skills with a desire to get “under the hood” of problems
Ability to prioritise your workload and apply good time management skills
A high level of self-motivation whilst remaining organised and methodical
What’s on offer?
If successful, you will enjoy a highly stimulating and challenging work environment within a dynamic and rapidly growing organisation.
Competitive salary
Contributory pension scheme
Annual company performance bonus
30 days annual leave (increasing with length of service)
Health cash plan
Flexibility with working hours
Option to buy / sell up to 5 days annual leave
On-site parking
Access to SSE Hydro Club
Welcome! We’re Attest: a Consumer Growth Platform. We’re on a mission to bring every business closer to consumers, and empower them with the insights that drive predictable and repeatable growth; enabling them to create and deliver better, more useful services, products and experiences for communities worldwide. We’re spearheaded by a bunch of awesome individuals, and our guess is that you’re pretty awesome, too. We’re ultra-proud of the inclusive company we’ve built to date. Attest is not just an exciting place to work alongside great people, but a feeling – one of belonging and adventure. We’re delighted that you’ve taken the first step to becoming an Attester by expressing an interest in who we are and what we do.
About the ACE team
The ACE (Attest Centre of Excellence) team's mission is to ensure that all Attest clients are delighted with the product and are provided with the best possible research expertise while making the most of their subscription. The team is here to guide, encourage, support and advise clients to achieve their desired outcomes and uncover new ways of using consumer research. ACE are committed to enabling clients to be more insightful themselves, but also offering our own lens for new ways of achieving goals; a bespoke extension of our clients' internal teams. The role We’re looking for Junior Client Experience Data Analyst to help expand and propagate the most important data metrics throughout the business and our clients. You’ll join a team that is all about improving the lives of our clients, ensuring we make data-based decisions and keep clients at the heart of our business. In your first six to twelve months, you’ll be involved in client analysis and the most detailed data needs, helping clients get the best out of the research they run with us.
What you’ll be doing
Working within the Attest Centre of Excellence and helping the team with client requests
Collaborating with other Data Analysts to deliver first class analysis & insights to clients
Help pioneer a better way to use data within Attest
Pulling information from various data sources to help optimise how we measure & track client information internally
Work cross-functionally with other teams within Attest to promote a data-driven approach
Who you are
You should be comfortable with extracting, collating and analysing data from various sources. You are looking for a chance to work in a high growth environment with a fantastic, collaborative team and exciting clients. Enjoy working with data , identifying trends, developing viewpoints and answering key questions based on data-derived insights.
Familiar with a variety of data softwares such as: Google Suite, MS Office, Google Analytics, data visualisation packages e.g., Piktochart, Tableau, etc.
Ambitious to learn and develop in new areas, e.g., SQL, SPSS.
Excited about the prospect of pioneering data visualization & easy understanding - by processing data and creating presentations for clients
Analytical mindset - can distill insights from data and present it in an easy to understand way to wider audiences.
Experience of 1-2 years in a data-focused role would be great, but is not a strict requirement
What you’ll bring to Attest
Strong attention to detail - spotting errors or inconsistencies within data
Ability to empathise with internal and external clients, their demands and situations.
Highly self-motivated , enthusiastic and have a proactive, action-driven client approach.
Demonstrate excellent client service and values being part of a team.
New perspective on how to do data analysis & interpretation
What we’ll offer in return
Our benefits and perks are designed with a focus on the wellbeing, engagement, and growth of our Attesters. A competitive salary that fairly recognises your experience and potential;
High-quality Equipment – whether you prefer a MacBook or a Windows machine, we’ll invest a sizeable amount to provide you with the right tools and set-up to help you do your best work;
25 days paid holiday – we care about our team’s wellbeing, so we make sure you have time to fully switch off, rest, and recharge;
Flexible working hours and working from home – whether you have parental responsibilities, just need some headspace, or have a parcel being delivered, we’ll support you in making your work and personal life a manageable blend;
A generous Growth & Development budget to spend on the resources and tools that will help you grow in your role and achieve your career goals;
10% adventure time to invest in charitable activities, your growth and development, and/or side projects for Attest;
Weekly team lunch – a team who eats together, works hard together, and stays together, right? We order in lunch every week, but also acknowledge those who are less fortunate than ourselves: for every meal we order, our supplier donates a meal in support of the Akshaya Patra Foundation;
Fully-paid sick days – Mental health and physical health are treated equally at Attest. Whether you’ve been knocked out with the flu, are having an operation, or need some time off to manage anxiety, stress or depression, for example, we encourage all our Attesters to rest up and come back when they’re feeling more like themselves;
A values-led working environment that encourages putting people first, honesty, curiosity and leadership.Is this role not quite the right fit for you? Or, have you not seen a suitable position available on our careers site?...We’re always on the look-out for interesting, bright folk to join our team of Attesters. Connect with us to stay in touch, and we’ll notify you when we have new opportunities.
About our people and culture
Attest is a place where you’re encouraged to bring every part of you needed to do your best work; every part of you needed to build strong, meaningful and long-lasting relationships with your fellow Attesters, our clients and partners. We champion our people in their entirety. With our team of Attesters, we take a human-first approach, optimising for joy and adventure, ingrained in everything we do. We’re a friendly, collaborative team, and value putting people (our team, clients and consumers) first; honesty, curiosity, empowerment and leadership are core to our team working style. Decisions are made with careful and quick consideration at Attest, to support fast and efficient growth.
About Attest
We believe that great companies put consumers and data at the heart of every decision. These companies create better, more useful products and services, which leads to happier consumers and ever-greater success.Through our Consumer Growth Platform, everyone can now gain answers to their questions from audiences of over 100 million consumers across 80 markets. Our clients use Attest to learn more about their target consumers, enter new markets, build new categories, validate decisions, develop better products and services, measure their brand, track competition, all with the goal of driving sustained growth across the business. Our clients include Heineken, Walgreens Boots, Samsung, Fever-Tree, Discovery, Transferwise, and Nutmeg, among many others. We’re backed by leading VCs, including New Enterprise Associates (NEA) – the investors behind companies such as Uber, Salesforce, Box, and Tableau; Oxford Capital and Episode 1 (the investors behind LoveFilm, Zoopla, Betfair, Shazam, CarWow and many other greats); plus several high-powered amazing Angel investors.
Diversity statement
Diversity matters, and we celebrate it at Attest! We’re building an inclusive place to work where everyone feels they belong. We see you and you’re welcome here. Attest doesn’t discriminate on the basis of any protected characteristic including race, religion or belief, gender or gender reassignment, age, sexual orientation, marital status, or disability. We want to give everyone the opportunity to showcase their best selves during the interview process and beyond. Do let us know if there are any adjustments you’d like to make to ensure it’s more inclusive – we’re learning too, so we’re more than happy to adapt and accommodate where possible.
12/07/2019
Full time
Welcome! We’re Attest: a Consumer Growth Platform. We’re on a mission to bring every business closer to consumers, and empower them with the insights that drive predictable and repeatable growth; enabling them to create and deliver better, more useful services, products and experiences for communities worldwide. We’re spearheaded by a bunch of awesome individuals, and our guess is that you’re pretty awesome, too. We’re ultra-proud of the inclusive company we’ve built to date. Attest is not just an exciting place to work alongside great people, but a feeling – one of belonging and adventure. We’re delighted that you’ve taken the first step to becoming an Attester by expressing an interest in who we are and what we do.
About the ACE team
The ACE (Attest Centre of Excellence) team's mission is to ensure that all Attest clients are delighted with the product and are provided with the best possible research expertise while making the most of their subscription. The team is here to guide, encourage, support and advise clients to achieve their desired outcomes and uncover new ways of using consumer research. ACE are committed to enabling clients to be more insightful themselves, but also offering our own lens for new ways of achieving goals; a bespoke extension of our clients' internal teams. The role We’re looking for Junior Client Experience Data Analyst to help expand and propagate the most important data metrics throughout the business and our clients. You’ll join a team that is all about improving the lives of our clients, ensuring we make data-based decisions and keep clients at the heart of our business. In your first six to twelve months, you’ll be involved in client analysis and the most detailed data needs, helping clients get the best out of the research they run with us.
What you’ll be doing
Working within the Attest Centre of Excellence and helping the team with client requests
Collaborating with other Data Analysts to deliver first class analysis & insights to clients
Help pioneer a better way to use data within Attest
Pulling information from various data sources to help optimise how we measure & track client information internally
Work cross-functionally with other teams within Attest to promote a data-driven approach
Who you are
You should be comfortable with extracting, collating and analysing data from various sources. You are looking for a chance to work in a high growth environment with a fantastic, collaborative team and exciting clients. Enjoy working with data , identifying trends, developing viewpoints and answering key questions based on data-derived insights.
Familiar with a variety of data softwares such as: Google Suite, MS Office, Google Analytics, data visualisation packages e.g., Piktochart, Tableau, etc.
Ambitious to learn and develop in new areas, e.g., SQL, SPSS.
Excited about the prospect of pioneering data visualization & easy understanding - by processing data and creating presentations for clients
Analytical mindset - can distill insights from data and present it in an easy to understand way to wider audiences.
Experience of 1-2 years in a data-focused role would be great, but is not a strict requirement
What you’ll bring to Attest
Strong attention to detail - spotting errors or inconsistencies within data
Ability to empathise with internal and external clients, their demands and situations.
Highly self-motivated , enthusiastic and have a proactive, action-driven client approach.
Demonstrate excellent client service and values being part of a team.
New perspective on how to do data analysis & interpretation
What we’ll offer in return
Our benefits and perks are designed with a focus on the wellbeing, engagement, and growth of our Attesters. A competitive salary that fairly recognises your experience and potential;
High-quality Equipment – whether you prefer a MacBook or a Windows machine, we’ll invest a sizeable amount to provide you with the right tools and set-up to help you do your best work;
25 days paid holiday – we care about our team’s wellbeing, so we make sure you have time to fully switch off, rest, and recharge;
Flexible working hours and working from home – whether you have parental responsibilities, just need some headspace, or have a parcel being delivered, we’ll support you in making your work and personal life a manageable blend;
A generous Growth & Development budget to spend on the resources and tools that will help you grow in your role and achieve your career goals;
10% adventure time to invest in charitable activities, your growth and development, and/or side projects for Attest;
Weekly team lunch – a team who eats together, works hard together, and stays together, right? We order in lunch every week, but also acknowledge those who are less fortunate than ourselves: for every meal we order, our supplier donates a meal in support of the Akshaya Patra Foundation;
Fully-paid sick days – Mental health and physical health are treated equally at Attest. Whether you’ve been knocked out with the flu, are having an operation, or need some time off to manage anxiety, stress or depression, for example, we encourage all our Attesters to rest up and come back when they’re feeling more like themselves;
A values-led working environment that encourages putting people first, honesty, curiosity and leadership.Is this role not quite the right fit for you? Or, have you not seen a suitable position available on our careers site?...We’re always on the look-out for interesting, bright folk to join our team of Attesters. Connect with us to stay in touch, and we’ll notify you when we have new opportunities.
About our people and culture
Attest is a place where you’re encouraged to bring every part of you needed to do your best work; every part of you needed to build strong, meaningful and long-lasting relationships with your fellow Attesters, our clients and partners. We champion our people in their entirety. With our team of Attesters, we take a human-first approach, optimising for joy and adventure, ingrained in everything we do. We’re a friendly, collaborative team, and value putting people (our team, clients and consumers) first; honesty, curiosity, empowerment and leadership are core to our team working style. Decisions are made with careful and quick consideration at Attest, to support fast and efficient growth.
About Attest
We believe that great companies put consumers and data at the heart of every decision. These companies create better, more useful products and services, which leads to happier consumers and ever-greater success.Through our Consumer Growth Platform, everyone can now gain answers to their questions from audiences of over 100 million consumers across 80 markets. Our clients use Attest to learn more about their target consumers, enter new markets, build new categories, validate decisions, develop better products and services, measure their brand, track competition, all with the goal of driving sustained growth across the business. Our clients include Heineken, Walgreens Boots, Samsung, Fever-Tree, Discovery, Transferwise, and Nutmeg, among many others. We’re backed by leading VCs, including New Enterprise Associates (NEA) – the investors behind companies such as Uber, Salesforce, Box, and Tableau; Oxford Capital and Episode 1 (the investors behind LoveFilm, Zoopla, Betfair, Shazam, CarWow and many other greats); plus several high-powered amazing Angel investors.
Diversity statement
Diversity matters, and we celebrate it at Attest! We’re building an inclusive place to work where everyone feels they belong. We see you and you’re welcome here. Attest doesn’t discriminate on the basis of any protected characteristic including race, religion or belief, gender or gender reassignment, age, sexual orientation, marital status, or disability. We want to give everyone the opportunity to showcase their best selves during the interview process and beyond. Do let us know if there are any adjustments you’d like to make to ensure it’s more inclusive – we’re learning too, so we’re more than happy to adapt and accommodate where possible.
University of Oxford, Nuffield Department of Medicine
Oxford, UK
Reporting to the PI Research Informatics (Dr Brian Marsden), the successful candidate will be responsible for devising and managing the delivery of novel data capture, curation and sharing solutions by the SGC Oxford Research Informatics team from target through protein production, structure determination and chemical biology to support our international programmes. This position is a full-time on a fixed-term contract until 30 June 2022.
You will have a PhD (or equivalent) in a relevant scientific subject work directly with senior scientists and directors across the SGC’s six sites around the world to identify and deliver solutions at scale whilst also engaging with our industrial partners and collaborators to ensure that the SGC is able to capture the broad range of data to enable open-access sharing of SGC outputs to the scientific community at large. You will be responsible for direct interactions with strategic partners including ChEMBL, OpenTargets, Genomics England as well as development of new technologies with our collaborators at MolSoft LLC. As such, an ability to think creatively and communicate clearly with both developers and scientists at all levels along with experience of managing a diverse team will be important.
The SGC (Structural Genomics Consortium) catalyses research in new areas of Human biology by explicitly focusing on less well-studied areas of the Human genome. We are looking for an individual with a proven track record of managing and developing informatics solutions to support the SGC’s work and our future plans for significantly scaling-up discovery of chemical probes, chemogenomic libraries and target-enabling packages ( www.thesgc.org/tep ). This position presents a unique opportunity for candidates who possess significant coding and database experience combined with a strong understanding of early-stage drug discovery who want to play a direct role in driving the success of a highly-regarded international organisation in catalysing the discovery of new human biology and new drug targets.
Applications for this vacancy are to be made online, and as part of the application you will be required to upload a CV and supporting statement.
Only applications received before 12.00 noon on 19 July 2019 will be considered.
09/07/2019
Full time
Reporting to the PI Research Informatics (Dr Brian Marsden), the successful candidate will be responsible for devising and managing the delivery of novel data capture, curation and sharing solutions by the SGC Oxford Research Informatics team from target through protein production, structure determination and chemical biology to support our international programmes. This position is a full-time on a fixed-term contract until 30 June 2022.
You will have a PhD (or equivalent) in a relevant scientific subject work directly with senior scientists and directors across the SGC’s six sites around the world to identify and deliver solutions at scale whilst also engaging with our industrial partners and collaborators to ensure that the SGC is able to capture the broad range of data to enable open-access sharing of SGC outputs to the scientific community at large. You will be responsible for direct interactions with strategic partners including ChEMBL, OpenTargets, Genomics England as well as development of new technologies with our collaborators at MolSoft LLC. As such, an ability to think creatively and communicate clearly with both developers and scientists at all levels along with experience of managing a diverse team will be important.
The SGC (Structural Genomics Consortium) catalyses research in new areas of Human biology by explicitly focusing on less well-studied areas of the Human genome. We are looking for an individual with a proven track record of managing and developing informatics solutions to support the SGC’s work and our future plans for significantly scaling-up discovery of chemical probes, chemogenomic libraries and target-enabling packages ( www.thesgc.org/tep ). This position presents a unique opportunity for candidates who possess significant coding and database experience combined with a strong understanding of early-stage drug discovery who want to play a direct role in driving the success of a highly-regarded international organisation in catalysing the discovery of new human biology and new drug targets.
Applications for this vacancy are to be made online, and as part of the application you will be required to upload a CV and supporting statement.
Only applications received before 12.00 noon on 19 July 2019 will be considered.
Junior Data Scientist - Digital Engineering
Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success.
It’s important to us that we recruit and develop as diverse a range of talent as we can. We believe that everyone brings something different to the table – so we’d love to know what makes you different.
About Capco
Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry.
We are:
Experts in banking and payments, capital markets and wealth and asset management
Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
Committed to growing our business and hiring the best talent to help us get there
Focused on maintaining our nimble, agile and entrepreneurial culture
Capco is looking for hardworking, innovative and creative people to join our Machine learning team to work on a number of exciting new technology initiatives like Blockchain, Machine Learning, Artificial Intelligence and Open APIs.
What we’re looking for:
Data Scientists experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems and have demonstrable experience using data science to see beyond the numbers.
As a Data Scientist you will be supporting the Digital teams on a mix of ad hoc and continuous client projects. The successful candidate will also play an active part in the Capco R&D function, designing and developing data science projects that utilise our extensive big data assets together with the latest machine learning techniques to improve our predictive modelling capability as well as supporting sales pitches by speaking to prospective clients about Capco’s Data Science/Machine Learning capability.
Key responsibilities include:
Demonstrating machine intelligence techniques, including neural networks, deep learning, random forests, image processing, and analytical expertise to explore and examine data from multiple disparate sources to provide a competitive advantage or address a pressing business problem.
Implement custom algorithms with senior data scientist oversight and create graphical user interfaces, flow processes, and layouts for complex modelling, data mining, statistical analysis, and research purposes.
Staying up–to–date on the latest machine learning capabilities.
Assisting on client pitches and proposals for machine learning projects
Work with scientists and business leaders on difficult engineering problems with minimal engineering or data science backgrounds.
Working with the engineering team to develop end to end production ML systems
Essential skills
Degree/MSc/PhD in either computer science, machine learning, data mining or statistical learning, or related discipline
Proficiency in statistical modelling and machine learning techniques e.g. k-means, decision trees, neural networks, ensemble learning, etc.
Expertise in at least one programming/scripting language e.g. Python (desirable), R
Strong communication and presentation skills, including the ability to translate analysis to non-technical audiences.
Desirable skills
Experience using machine learning techniques to tackle problems involving high-dimension unstructured data would be an advantage.
Financial services industry experience
Developing for Big Data technology stacks (Hadoop ecosystem, Spark, Kafka, NoSQL databases etc)
Exposure to cloud computing (GCP preferably, AWS, Azure)
Data Visualisation tools (Tableau, QlikView etc)
Entries into Kaggle Competitions
WHY JOIN CAPCO?
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
We offer:
A work culture focused on innovation and creating lasting value for our clients and employees
Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
A diverse, inclusive, meritocratic culture.
09/07/2019
Full time
Junior Data Scientist - Digital Engineering
Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success.
It’s important to us that we recruit and develop as diverse a range of talent as we can. We believe that everyone brings something different to the table – so we’d love to know what makes you different.
About Capco
Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry.
We are:
Experts in banking and payments, capital markets and wealth and asset management
Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
Committed to growing our business and hiring the best talent to help us get there
Focused on maintaining our nimble, agile and entrepreneurial culture
Capco is looking for hardworking, innovative and creative people to join our Machine learning team to work on a number of exciting new technology initiatives like Blockchain, Machine Learning, Artificial Intelligence and Open APIs.
What we’re looking for:
Data Scientists experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems and have demonstrable experience using data science to see beyond the numbers.
As a Data Scientist you will be supporting the Digital teams on a mix of ad hoc and continuous client projects. The successful candidate will also play an active part in the Capco R&D function, designing and developing data science projects that utilise our extensive big data assets together with the latest machine learning techniques to improve our predictive modelling capability as well as supporting sales pitches by speaking to prospective clients about Capco’s Data Science/Machine Learning capability.
Key responsibilities include:
Demonstrating machine intelligence techniques, including neural networks, deep learning, random forests, image processing, and analytical expertise to explore and examine data from multiple disparate sources to provide a competitive advantage or address a pressing business problem.
Implement custom algorithms with senior data scientist oversight and create graphical user interfaces, flow processes, and layouts for complex modelling, data mining, statistical analysis, and research purposes.
Staying up–to–date on the latest machine learning capabilities.
Assisting on client pitches and proposals for machine learning projects
Work with scientists and business leaders on difficult engineering problems with minimal engineering or data science backgrounds.
Working with the engineering team to develop end to end production ML systems
Essential skills
Degree/MSc/PhD in either computer science, machine learning, data mining or statistical learning, or related discipline
Proficiency in statistical modelling and machine learning techniques e.g. k-means, decision trees, neural networks, ensemble learning, etc.
Expertise in at least one programming/scripting language e.g. Python (desirable), R
Strong communication and presentation skills, including the ability to translate analysis to non-technical audiences.
Desirable skills
Experience using machine learning techniques to tackle problems involving high-dimension unstructured data would be an advantage.
Financial services industry experience
Developing for Big Data technology stacks (Hadoop ecosystem, Spark, Kafka, NoSQL databases etc)
Exposure to cloud computing (GCP preferably, AWS, Azure)
Data Visualisation tools (Tableau, QlikView etc)
Entries into Kaggle Competitions
WHY JOIN CAPCO?
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
We offer:
A work culture focused on innovation and creating lasting value for our clients and employees
Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
A diverse, inclusive, meritocratic culture.
You will undertake project work to help develop systems for producing environmental information from sensors measuring in the field and existing monitoring data. Such work underpins CEH’s water resources science and, by making data available over the web to a range of end users, supports the UK and global science community.
The main focus will initially be on the development of sensor data structures within our new ENTRAIN project, which will include the COSMOS-UK soil moisture monitoring network, Greenhouse Gas Network and the Thames Initiative water quality platform, and linking sensor data to spatial information such as a digital river network to enable automated analysis of data across river catchments. You will be a Research Associate in environmental data science based at CEH's Wallingford site, working within the Water Resources Systems Group.
You will apply your skills in programming, analysis, and hydrological science in setting up and managing systems for handling data, creating time series and spatial datasets, delivering environment metadata over the web and assisting scientists in a wide range of disciplines to analyse the data.
Organization Description
UK Research and Innovation is a new entity that brings together nine partners to create an independent organisation with a strong voice for research and innovation, and a vision to ensure the UK maintains its world-leading position in research and innovation. More information can be found at www.ukri.org.
The Centre for Ecology & Hydrology (CEH) is part of the Natural Environment Research Council (NERC) and is the UK's Centre of Excellence for integrated research in terrestrial and freshwater ecosystems and their interaction with the atmosphere. Working in partnership with the research community, policy makers, industry and society, CEH undertakes cutting edge research to deliver world class solutions to the most complex environmental challenges facing humankind. CEH has an annual turnover of £35 million, and employs staff across four sites; the headquarters is at Wallingford with further sites at Bangor, Edinburgh and Lancaster.
Shortlisting & Interview criteria
degree level qualified, ideally within a scientific subject with some element/modules of computing, including programming
demonstrable programming skills, ideally in Python though good experience in another language would be acceptable
experience of the use and management of environmental, or other, data
interest in informatics and its use within environmental sciences
some knowledge of and interest in hydrological science
good communication and teamwork skills
You will also be to demonstrate a commitment to promote and adhere to CEH values of Excellence, Integrity and Team work. Information on CEH’s values is available here.
In addition NERC offer a public sector pension scheme, 30 days’ annual leave and 10½ days’ public and privilege holiday per annum. We offer a flexible and supportive working environment and will encourage your continuing professional development as part of our career support. NERC has an equal opportunities policy and welcomes applications from all sections of the community. People with disabilities and those from ethnic minorities are currently under represented and their applications are particularly welcomed. Guaranteed interview scheme for applicants with disabilities.
To enable us to hire the very best people we will conduct a full and comprehensive background and pre-employment check as an essential part of the recruitment process. This will include a security check and an extreme organisations affiliation check.
As this job does not fulfil the Home Office Code of Practice criterion for obtaining sponsored migrant worker status we will be unable to apply for sponsorship for anyone not eligible to work in the UK. At interview, all shortlisted candidates are required to bring with them identification documents and original documents that prove they hold or can obtain the right to work in the UK. You can check your eligibility here: https://www.gov.uk/check-uk-visa/y.
Further information regarding working for CEH can be found on our website.
It is CEH policy to use an online application form (link below), please ensure that you complete an application form as CVs will not be accepted as a standalone. The form should be uploaded via the "My Account" menu option on the "Jobs Home" page.
CEH Application Form
If you are unable to apply on-line, please contact UK Shared Business Services Ltd by telephone on 01793 867000.
If you have not already logged into iRecruitment (including as a current employee) you will be re-directed to the login/register page by clicking the "apply now" button.
If you don't have an account with us, by choosing to register you consent to UK SBS processing the information you provide as part of the Recruitment Service. You can select appropriate job alerts and notifications as part of your account preferences, and you are able to close your account (withdraw consent) should you wish to do so. Before starting your online application and inputting your personal details, please read our Privacy Notice which contains full details of how your information is processed once you have made an application.
If you would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), are unable to apply online or do not wish to create an account but would still like to apply for a specific role, please contact us by telephone on 01793 867000.
09/07/2019
Full time
You will undertake project work to help develop systems for producing environmental information from sensors measuring in the field and existing monitoring data. Such work underpins CEH’s water resources science and, by making data available over the web to a range of end users, supports the UK and global science community.
The main focus will initially be on the development of sensor data structures within our new ENTRAIN project, which will include the COSMOS-UK soil moisture monitoring network, Greenhouse Gas Network and the Thames Initiative water quality platform, and linking sensor data to spatial information such as a digital river network to enable automated analysis of data across river catchments. You will be a Research Associate in environmental data science based at CEH's Wallingford site, working within the Water Resources Systems Group.
You will apply your skills in programming, analysis, and hydrological science in setting up and managing systems for handling data, creating time series and spatial datasets, delivering environment metadata over the web and assisting scientists in a wide range of disciplines to analyse the data.
Organization Description
UK Research and Innovation is a new entity that brings together nine partners to create an independent organisation with a strong voice for research and innovation, and a vision to ensure the UK maintains its world-leading position in research and innovation. More information can be found at www.ukri.org.
The Centre for Ecology & Hydrology (CEH) is part of the Natural Environment Research Council (NERC) and is the UK's Centre of Excellence for integrated research in terrestrial and freshwater ecosystems and their interaction with the atmosphere. Working in partnership with the research community, policy makers, industry and society, CEH undertakes cutting edge research to deliver world class solutions to the most complex environmental challenges facing humankind. CEH has an annual turnover of £35 million, and employs staff across four sites; the headquarters is at Wallingford with further sites at Bangor, Edinburgh and Lancaster.
Shortlisting & Interview criteria
degree level qualified, ideally within a scientific subject with some element/modules of computing, including programming
demonstrable programming skills, ideally in Python though good experience in another language would be acceptable
experience of the use and management of environmental, or other, data
interest in informatics and its use within environmental sciences
some knowledge of and interest in hydrological science
good communication and teamwork skills
You will also be to demonstrate a commitment to promote and adhere to CEH values of Excellence, Integrity and Team work. Information on CEH’s values is available here.
In addition NERC offer a public sector pension scheme, 30 days’ annual leave and 10½ days’ public and privilege holiday per annum. We offer a flexible and supportive working environment and will encourage your continuing professional development as part of our career support. NERC has an equal opportunities policy and welcomes applications from all sections of the community. People with disabilities and those from ethnic minorities are currently under represented and their applications are particularly welcomed. Guaranteed interview scheme for applicants with disabilities.
To enable us to hire the very best people we will conduct a full and comprehensive background and pre-employment check as an essential part of the recruitment process. This will include a security check and an extreme organisations affiliation check.
As this job does not fulfil the Home Office Code of Practice criterion for obtaining sponsored migrant worker status we will be unable to apply for sponsorship for anyone not eligible to work in the UK. At interview, all shortlisted candidates are required to bring with them identification documents and original documents that prove they hold or can obtain the right to work in the UK. You can check your eligibility here: https://www.gov.uk/check-uk-visa/y.
Further information regarding working for CEH can be found on our website.
It is CEH policy to use an online application form (link below), please ensure that you complete an application form as CVs will not be accepted as a standalone. The form should be uploaded via the "My Account" menu option on the "Jobs Home" page.
CEH Application Form
If you are unable to apply on-line, please contact UK Shared Business Services Ltd by telephone on 01793 867000.
If you have not already logged into iRecruitment (including as a current employee) you will be re-directed to the login/register page by clicking the "apply now" button.
If you don't have an account with us, by choosing to register you consent to UK SBS processing the information you provide as part of the Recruitment Service. You can select appropriate job alerts and notifications as part of your account preferences, and you are able to close your account (withdraw consent) should you wish to do so. Before starting your online application and inputting your personal details, please read our Privacy Notice which contains full details of how your information is processed once you have made an application.
If you would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), are unable to apply online or do not wish to create an account but would still like to apply for a specific role, please contact us by telephone on 01793 867000.
Reply is a multinational Technology and Business Consultancy company, specializing in the delivery of solutions based on new communication networks and digital media. With offices across the UK (London and externally), Belgium, Netherlands, and France, the Operations Team provides support services to corporate network– and we are continuing to grow!
THE ROLE:
As a Data Scientist within Alpha Reply, you will contribute to develop our customer proposition and work on specific projects for our clients. Key to our client offering is to develop consultants whose expertise spans Banking (Investment Banking, Retail, Fintechs), Quantitative Analytics (stochastic calculus and risk modelling), Data Science / Machine Learning (data engineering and data pipelines, RPA, NLP, Neural Networks,...), and Development (Python/R). As such, you need to be willing to to acquire this broad experience base through internal training and work experiences.
KEY RESPONSIBILITIES:
Produce meaningful analysis to support the delivery of tuning related initiatives.
Using, building and maintaining analytical tools to generate insight, recognise patterns and predict behaviour.
Apply data mining techniques and use of machine learning methods in a real life setting to tune out poor quality matches.
Be able to respond to ad-hoc requests from the management team and business units by effectively managing priorities.
Processing, cleansing, and verifying the integrity of data used for analysis.
Continuous development of current tools and models to improve quality of analysis.
Communicate the results of any analysis, trends and MI to a range of audiences.
Identifies rules / exceptions for implementation into projects to improve automation and efficiency
REQUIRED SKILLS AND EXPERIENCE:
Strong quantitative and statistical skills and ability to solve problems logically and methodologically.
Experience in data manipulation of large datasets through the use of scripting languages (e.g. SQL, VBA, Python, R). Willingness to learn new languages as required for the role.
Experience using data mining and/or machine learning techniques (clustering analysis, regression analysis, natural language processing, text mining) in a real-life application.
Strong presentation skills with ability to explain sophisticated solutions to a non-technical audience verbally and non-verbally.
Expertise of using classical statistical methods (such as Linear Regression, Decision Trees) in an applied environment
The ability to analyse data, identify impacts and opportunities, and present recommendations to a variety of audiences.
Good interpersonal skills which will be used to maintain relationships with stakeholders including Senior Leadership.
09/07/2019
Full time
Reply is a multinational Technology and Business Consultancy company, specializing in the delivery of solutions based on new communication networks and digital media. With offices across the UK (London and externally), Belgium, Netherlands, and France, the Operations Team provides support services to corporate network– and we are continuing to grow!
THE ROLE:
As a Data Scientist within Alpha Reply, you will contribute to develop our customer proposition and work on specific projects for our clients. Key to our client offering is to develop consultants whose expertise spans Banking (Investment Banking, Retail, Fintechs), Quantitative Analytics (stochastic calculus and risk modelling), Data Science / Machine Learning (data engineering and data pipelines, RPA, NLP, Neural Networks,...), and Development (Python/R). As such, you need to be willing to to acquire this broad experience base through internal training and work experiences.
KEY RESPONSIBILITIES:
Produce meaningful analysis to support the delivery of tuning related initiatives.
Using, building and maintaining analytical tools to generate insight, recognise patterns and predict behaviour.
Apply data mining techniques and use of machine learning methods in a real life setting to tune out poor quality matches.
Be able to respond to ad-hoc requests from the management team and business units by effectively managing priorities.
Processing, cleansing, and verifying the integrity of data used for analysis.
Continuous development of current tools and models to improve quality of analysis.
Communicate the results of any analysis, trends and MI to a range of audiences.
Identifies rules / exceptions for implementation into projects to improve automation and efficiency
REQUIRED SKILLS AND EXPERIENCE:
Strong quantitative and statistical skills and ability to solve problems logically and methodologically.
Experience in data manipulation of large datasets through the use of scripting languages (e.g. SQL, VBA, Python, R). Willingness to learn new languages as required for the role.
Experience using data mining and/or machine learning techniques (clustering analysis, regression analysis, natural language processing, text mining) in a real-life application.
Strong presentation skills with ability to explain sophisticated solutions to a non-technical audience verbally and non-verbally.
Expertise of using classical statistical methods (such as Linear Regression, Decision Trees) in an applied environment
The ability to analyse data, identify impacts and opportunities, and present recommendations to a variety of audiences.
Good interpersonal skills which will be used to maintain relationships with stakeholders including Senior Leadership.
Junior Data Scientist
“Data is the new oil.” — Clive Humby
Do you agree with this quote? If so, then read on for more details about a job where you can use data to help boost an already rapid business growth trajectory, make smarter decisions (at higher velocity) by using machine learning and data science techniques.
✔️ You will have the opportunity to setup, monitor and track large scale experiments.
✔️ You will be able to deliver incremental improvements to our existing approaches through application of machine learning techniques.
✔️ You will get to work closely with other business units to deliver day to day trading results.
So if you tick these boxes, we want to hear from you:
A strong numerical higher degree in mathematics, scientific, engineering or computer science or another related technical discipline
Experience with programming languages and a good grasp of at least one (e.g. Python, R)
Experience working with open source machine learning libraries (scikit-learn, xgboost, tensorflow etc.)
Basic knowledge of SQL
An ability to explain complex solutions in a clear and easily understandable way.
If you have experience with Bayesian statistics and applying machine learning techniques to business problems, then even better.
Working at loveholidays you will be eligible for heavily discounted holidays, have free access to hot drinks, fresh fruit, cakes, snacks and break-out area with pool and fussball tables. You will get the chance to work within a close-knit group that believes in a positive work-life balance, with bi-annual company events, regular after-work drinks and much more.
Who are loveholidays? We are a fast-moving tech company revolutionising the way you search for holidays online. Not only are we the fastest growing online travel agent in the UK, but we have been ranked #1 in The Sunday Times BDO Profit Track 100 – with the fastest growing profit of any private UK company over the past three years.
Click “apply” to easily share your details with us and we promise to respond quickly to all applications.
09/07/2019
Full time
Junior Data Scientist
“Data is the new oil.” — Clive Humby
Do you agree with this quote? If so, then read on for more details about a job where you can use data to help boost an already rapid business growth trajectory, make smarter decisions (at higher velocity) by using machine learning and data science techniques.
✔️ You will have the opportunity to setup, monitor and track large scale experiments.
✔️ You will be able to deliver incremental improvements to our existing approaches through application of machine learning techniques.
✔️ You will get to work closely with other business units to deliver day to day trading results.
So if you tick these boxes, we want to hear from you:
A strong numerical higher degree in mathematics, scientific, engineering or computer science or another related technical discipline
Experience with programming languages and a good grasp of at least one (e.g. Python, R)
Experience working with open source machine learning libraries (scikit-learn, xgboost, tensorflow etc.)
Basic knowledge of SQL
An ability to explain complex solutions in a clear and easily understandable way.
If you have experience with Bayesian statistics and applying machine learning techniques to business problems, then even better.
Working at loveholidays you will be eligible for heavily discounted holidays, have free access to hot drinks, fresh fruit, cakes, snacks and break-out area with pool and fussball tables. You will get the chance to work within a close-knit group that believes in a positive work-life balance, with bi-annual company events, regular after-work drinks and much more.
Who are loveholidays? We are a fast-moving tech company revolutionising the way you search for holidays online. Not only are we the fastest growing online travel agent in the UK, but we have been ranked #1 in The Sunday Times BDO Profit Track 100 – with the fastest growing profit of any private UK company over the past three years.
Click “apply” to easily share your details with us and we promise to respond quickly to all applications.
Company Profile: Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.Glasgow Profile: Morgan Stanley’s Glasgow office employs in excess of 1,300 staff across Operations, Technology, Legal and Compliance, Internal Audit, Fund Services and Finance. Due to our growing business, we have a demand for career minded people to join our teams. Our opportunities offer unrivalled scope for progression and training within a fast paced, meritocratic and constantly changing environment. Morgan Stanley pride themselves on maintaining a culture which champions diversity, an inclusive environment for all, recognition and an opportunity to give back to our communities through various local charity partnerships. The office is located centrally and enjoys the additional benefits of an onsite gym and restaurant.Department Profile: The Finance Division reports to the Chief Financial Officer and consists of some 3,000 employees worldwide. Finance protects the Morgan Stanley franchise by serving as guardian of the Firm’s books and records, and by contributing to Firmwide risk management and risk reduction. This division maintains relationships with Morgan Stanley’s various industry and government regulators, and also serves as the conduit of financial information to the outside investment community. Finance plays a critical role as advisor to Morgan Stanley’s various businesses and its senior management team.Team Profile: The Tax Department reports to the Deputy Chief Financial Officer and consists of some 200 employees worldwide. The Tax Department is responsible for global tax compliance, tax accounting, business unit tax advice and tax planning for the Firm.Primary Responsibilities: This is a Director role on the Tax Technology team within the Global Tax Department, based in Glasgow. The role requires an experienced and highly motivated data scientist who can collaborate with technical and non-technical members of the Firm.- Guide the development of reports, dashboards, and metrics to monitor based on Tax team requirements- Communicate findings and recommendations in a way that’s easily understood by non-quantitative audiences- Closely collaborate and partner with various members within and external to the department - Execute continuous improvement and efficiency initiatives- Support the relationship with the NY Tax Technology team Skills Required: - MS in a quantitative discipline such as Statistics, Mathematics, Physics, Engineering, Computer Science or Economics- Experience or knowledge in the field of specialized financial engineering or data science- Ability to work with data including rapid prototyping and coding skills using common data science tools (i.e. Alteryx, Dataiku, Python, R, Excel, SQL and VBA)- Experience with applying a variety of machine learning techniques such as regression, classification, cluster analysis and deep learning- Experience creating predictive model development and analytics with unstructured data- Experience building complex data visualizations in BI tools (i.e. Tableau, Qlikview or PowerBI)- Agile and organized with the ability to prioritize and manage multiple workstreams- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to engineering teams and business audiencesInterested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. *LI-CL3
09/07/2019
Full time
Company Profile: Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.Glasgow Profile: Morgan Stanley’s Glasgow office employs in excess of 1,300 staff across Operations, Technology, Legal and Compliance, Internal Audit, Fund Services and Finance. Due to our growing business, we have a demand for career minded people to join our teams. Our opportunities offer unrivalled scope for progression and training within a fast paced, meritocratic and constantly changing environment. Morgan Stanley pride themselves on maintaining a culture which champions diversity, an inclusive environment for all, recognition and an opportunity to give back to our communities through various local charity partnerships. The office is located centrally and enjoys the additional benefits of an onsite gym and restaurant.Department Profile: The Finance Division reports to the Chief Financial Officer and consists of some 3,000 employees worldwide. Finance protects the Morgan Stanley franchise by serving as guardian of the Firm’s books and records, and by contributing to Firmwide risk management and risk reduction. This division maintains relationships with Morgan Stanley’s various industry and government regulators, and also serves as the conduit of financial information to the outside investment community. Finance plays a critical role as advisor to Morgan Stanley’s various businesses and its senior management team.Team Profile: The Tax Department reports to the Deputy Chief Financial Officer and consists of some 200 employees worldwide. The Tax Department is responsible for global tax compliance, tax accounting, business unit tax advice and tax planning for the Firm.Primary Responsibilities: This is a Director role on the Tax Technology team within the Global Tax Department, based in Glasgow. The role requires an experienced and highly motivated data scientist who can collaborate with technical and non-technical members of the Firm.- Guide the development of reports, dashboards, and metrics to monitor based on Tax team requirements- Communicate findings and recommendations in a way that’s easily understood by non-quantitative audiences- Closely collaborate and partner with various members within and external to the department - Execute continuous improvement and efficiency initiatives- Support the relationship with the NY Tax Technology team Skills Required: - MS in a quantitative discipline such as Statistics, Mathematics, Physics, Engineering, Computer Science or Economics- Experience or knowledge in the field of specialized financial engineering or data science- Ability to work with data including rapid prototyping and coding skills using common data science tools (i.e. Alteryx, Dataiku, Python, R, Excel, SQL and VBA)- Experience with applying a variety of machine learning techniques such as regression, classification, cluster analysis and deep learning- Experience creating predictive model development and analytics with unstructured data- Experience building complex data visualizations in BI tools (i.e. Tableau, Qlikview or PowerBI)- Agile and organized with the ability to prioritize and manage multiple workstreams- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to engineering teams and business audiencesInterested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. *LI-CL3
