The European Patent Office
Bob‑van‑Benthem‑Platz 1, 80469 Munich, Germany
Grade: G13/3 (net (basic) monthly salary* for this vacancy: EUR 12 435,12, which may be supplemented by various allowances depending on your personal circumstances) Duration of appointment: 5 years Career path: Managerial Location: Munich Application deadline: 17.11.2019
With almost 7 000 employees, the European Patent Office (EPO) is the second-largest public service institution in Europe. It supports innovation, competitiveness and economic growth across Europe through a commitment to high-quality and efficient services delivered under the European Patent Convention, its founding treaty. It has a yearly budget of EUR 2.3 billion, entirely financed by the fees paid by its users. As set out in its Strategic Plan 2023, the EPO is proud to deliver high-quality patents and efficient services that foster innovation, competitiveness and economic growth. All its relationships ‒ both internally and with its partners around the world ‒ prosper through trust, fairness, mutual respect, adaptability, collaboration and a commitment to excellence. For the EPO, as an organisation dealing with intellectual property rights, data protection plays a central role in ensuring high standards in all its internal and external relationships and communications. It is set to become even more important in view of a major digital transformation the EPO will undergo over the coming years. Reporting directly to the EPO President, you will head the Data Protection Office and manage its EPO-wide remit. Your main responsibilities
Monitoring the observance of the data protection guidelines in all processing operations performed by the EPO
Making recommendations for the practical improvement of data protection at the EPO, including any appropriate changes to its data protection guidelines, and advising its President and organisational units on questions concerning the application of data protection
Examining any matters and incidents directly relating to data protection that come to your notice
Providing expert advice and opinions on request and drawing up reports
Submitting an activities report to the President each year
Performing the other duties assigned to you in the EPO data protection guidelines
What we expect from you
Expertise and a proven track record in the field of data protection, preferably including experience of working for an international organisation and a thorough understanding of public service missions
Several years' managerial experience or ability to manage a small team of experts
Proficiency in advising on data protection operations and related strategy
Outstanding communication, teamwork and management skills
Your qualifications
Diploma of completed studies at master's level or – in exceptional cases – equivalent professional experience
Excellent knowledge of one of the EPO's official languages (English, French and German) and ability to understand the other two; in exceptional cases, excellent knowledge of one official language and ability to understand another
Citizenship of one of the member states of the European Patent Organisation
Process and timeline The successful candidate will be selected on the basis of qualifications and relevant experience, supplemented as appropriate by interviews, tests and/or a personality questionnaire. The interviews are expected to take place in calendar week 49/50. * after deduction of EPO internal tax and before deduction of staff contributions to the social-security and pension schemes. To foster gender diversity, EPO encourages applications from female candidates. The EPO is an equal opportunities employer and supports workforce diversity as a signatory to the Diversity Charter (Charta der Vielfalt) since 2010. All applications for vacant positions will be welcomed and considered on the professional merits of the applicant against the role profile for the position regardless of nationality, ethnic origin, gender, sexual orientation, marital status, disability, parental responsibilities, age, religion or belief. About the EPO The European Patent Office With almost 7 000 employees, the European Patent Office (EPO) is one of the largest public service institutions in Europe. Its headquarters are in Munich and it also has offices in Berlin, Brussels, The Hague and Vienna. The EPO was founded with the aim of strengthening co-operation on patents in Europe. Through the EPO's centralised patent granting procedure, inventors are able to obtain high-quality patent protection in up to 44 countries, covering a market of some 700 million people. The EPO is also the world's leading authority in patent information and patent searching. In 2018, the EPO received over 174 000 patent applications and granted over 127 000 patents. Its free online patent database, Espacenet, contains more than 100 million technical documents from 100 countries, and its free neural machine translation service, Patent Translate, provides instant, high-quality translation in 32 languages, including Chinese, Japanese, Korean and Russian. What we offer
intellectual challenges and empowerment through professional development
the chance to work with inspiring people from various different cultures
an excellent social package
contributory medical-insurance and pension schemes
relocation benefits and various allowances (e.g. household, dependants', childcare, education, expatriation, installation and rent allowance), depending on their personal circumstances
Application procedure Please apply via the 'Apply' button. Agency calls not appreciated.
28/10/2019
Full time
Grade: G13/3 (net (basic) monthly salary* for this vacancy: EUR 12 435,12, which may be supplemented by various allowances depending on your personal circumstances) Duration of appointment: 5 years Career path: Managerial Location: Munich Application deadline: 17.11.2019
With almost 7 000 employees, the European Patent Office (EPO) is the second-largest public service institution in Europe. It supports innovation, competitiveness and economic growth across Europe through a commitment to high-quality and efficient services delivered under the European Patent Convention, its founding treaty. It has a yearly budget of EUR 2.3 billion, entirely financed by the fees paid by its users. As set out in its Strategic Plan 2023, the EPO is proud to deliver high-quality patents and efficient services that foster innovation, competitiveness and economic growth. All its relationships ‒ both internally and with its partners around the world ‒ prosper through trust, fairness, mutual respect, adaptability, collaboration and a commitment to excellence. For the EPO, as an organisation dealing with intellectual property rights, data protection plays a central role in ensuring high standards in all its internal and external relationships and communications. It is set to become even more important in view of a major digital transformation the EPO will undergo over the coming years. Reporting directly to the EPO President, you will head the Data Protection Office and manage its EPO-wide remit. Your main responsibilities
Monitoring the observance of the data protection guidelines in all processing operations performed by the EPO
Making recommendations for the practical improvement of data protection at the EPO, including any appropriate changes to its data protection guidelines, and advising its President and organisational units on questions concerning the application of data protection
Examining any matters and incidents directly relating to data protection that come to your notice
Providing expert advice and opinions on request and drawing up reports
Submitting an activities report to the President each year
Performing the other duties assigned to you in the EPO data protection guidelines
What we expect from you
Expertise and a proven track record in the field of data protection, preferably including experience of working for an international organisation and a thorough understanding of public service missions
Several years' managerial experience or ability to manage a small team of experts
Proficiency in advising on data protection operations and related strategy
Outstanding communication, teamwork and management skills
Your qualifications
Diploma of completed studies at master's level or – in exceptional cases – equivalent professional experience
Excellent knowledge of one of the EPO's official languages (English, French and German) and ability to understand the other two; in exceptional cases, excellent knowledge of one official language and ability to understand another
Citizenship of one of the member states of the European Patent Organisation
Process and timeline The successful candidate will be selected on the basis of qualifications and relevant experience, supplemented as appropriate by interviews, tests and/or a personality questionnaire. The interviews are expected to take place in calendar week 49/50. * after deduction of EPO internal tax and before deduction of staff contributions to the social-security and pension schemes. To foster gender diversity, EPO encourages applications from female candidates. The EPO is an equal opportunities employer and supports workforce diversity as a signatory to the Diversity Charter (Charta der Vielfalt) since 2010. All applications for vacant positions will be welcomed and considered on the professional merits of the applicant against the role profile for the position regardless of nationality, ethnic origin, gender, sexual orientation, marital status, disability, parental responsibilities, age, religion or belief. About the EPO The European Patent Office With almost 7 000 employees, the European Patent Office (EPO) is one of the largest public service institutions in Europe. Its headquarters are in Munich and it also has offices in Berlin, Brussels, The Hague and Vienna. The EPO was founded with the aim of strengthening co-operation on patents in Europe. Through the EPO's centralised patent granting procedure, inventors are able to obtain high-quality patent protection in up to 44 countries, covering a market of some 700 million people. The EPO is also the world's leading authority in patent information and patent searching. In 2018, the EPO received over 174 000 patent applications and granted over 127 000 patents. Its free online patent database, Espacenet, contains more than 100 million technical documents from 100 countries, and its free neural machine translation service, Patent Translate, provides instant, high-quality translation in 32 languages, including Chinese, Japanese, Korean and Russian. What we offer
intellectual challenges and empowerment through professional development
the chance to work with inspiring people from various different cultures
an excellent social package
contributory medical-insurance and pension schemes
relocation benefits and various allowances (e.g. household, dependants', childcare, education, expatriation, installation and rent allowance), depending on their personal circumstances
Application procedure Please apply via the 'Apply' button. Agency calls not appreciated.
Our Data Engineering Team play a pivotal role in supporting data and analytics across our entire organisation. Being a graduate within our Data Engineering Team will allow you to develop your skills and understanding of key data engineering concepts, working closely alongside other data teams within the organisation, such as the Data Science Team, to develop data pipelines that can be utilised to carry out analysis and reporting. You’ll have the opportunity to undertake projects collaboratively with other members of the team, and will also develop experience of completing projects yourself, with support from the team.
You’ll be working on projects that have been requested from all areas of the organisation, so you’ll also gain a broad understanding of Dwr Cymru Welsh Water, and will meet lots of new colleagues along the way. You’ll have opportunity to work with the latest extract-transform-load (ETL) technologies, particularly utilising new approaches in the cloud, will help discover new sources of data that can improve insight, and will contribute to a wider Data Team that is supportive and encouraging.
As a member of the Data Engineering Team, you will be supporting:
The management of data used for analytics, such as predictive modelling, and reporting. You’ll have opportunity to develop a strong knowledge of data management practices, including how data can be structured and stored effectively for analysis, and kept safe and secure
The design and implementation of key data pipelines that help us monitor data quality, build powerful models and provide insightful dashboards to colleagues
Collaborative projects, with other members of the Data Team, providing valuable data engineering input for solutions that allow our colleagues to make key data-led decisions
A typical Data Engineering project will involve firstly liaising with stakeholders, defining how business requirements can be translated into data requirements. Then acquiring, transforming and presenting data so it can be used for analysis and reporting. Through developing an understanding of the wider Data Team, you will be provided with an appreciation of how data is best structured and presented to support analytical work.
What we need
In order to apply, you will need:
Minimum 2:1 Degree in Computer Science/Data Science or a related subject
Eligible to work and live permanently in the UK
Be available to start with us 7 September 2020
In addition to this, you’ll be passionate about working with data, will be hard-working with a good eye for detail, and will contribute positively to the Data Engineering Team, making a real difference by implementing high quality solutions that bring real benefit to the organisation, and to our customers.
19/10/2019
Full time
Our Data Engineering Team play a pivotal role in supporting data and analytics across our entire organisation. Being a graduate within our Data Engineering Team will allow you to develop your skills and understanding of key data engineering concepts, working closely alongside other data teams within the organisation, such as the Data Science Team, to develop data pipelines that can be utilised to carry out analysis and reporting. You’ll have the opportunity to undertake projects collaboratively with other members of the team, and will also develop experience of completing projects yourself, with support from the team.
You’ll be working on projects that have been requested from all areas of the organisation, so you’ll also gain a broad understanding of Dwr Cymru Welsh Water, and will meet lots of new colleagues along the way. You’ll have opportunity to work with the latest extract-transform-load (ETL) technologies, particularly utilising new approaches in the cloud, will help discover new sources of data that can improve insight, and will contribute to a wider Data Team that is supportive and encouraging.
As a member of the Data Engineering Team, you will be supporting:
The management of data used for analytics, such as predictive modelling, and reporting. You’ll have opportunity to develop a strong knowledge of data management practices, including how data can be structured and stored effectively for analysis, and kept safe and secure
The design and implementation of key data pipelines that help us monitor data quality, build powerful models and provide insightful dashboards to colleagues
Collaborative projects, with other members of the Data Team, providing valuable data engineering input for solutions that allow our colleagues to make key data-led decisions
A typical Data Engineering project will involve firstly liaising with stakeholders, defining how business requirements can be translated into data requirements. Then acquiring, transforming and presenting data so it can be used for analysis and reporting. Through developing an understanding of the wider Data Team, you will be provided with an appreciation of how data is best structured and presented to support analytical work.
What we need
In order to apply, you will need:
Minimum 2:1 Degree in Computer Science/Data Science or a related subject
Eligible to work and live permanently in the UK
Be available to start with us 7 September 2020
In addition to this, you’ll be passionate about working with data, will be hard-working with a good eye for detail, and will contribute positively to the Data Engineering Team, making a real difference by implementing high quality solutions that bring real benefit to the organisation, and to our customers.
Company Overview
The Financial Times is one of the world’s leading business news organisations, recognised internationally for its authority, integrity and accuracy. The FT has a record paying readership of one million, three-quarters of which are digital subscriptions. It is part of Nikkei Inc., which provides a broad range of information, news and services for the global business community.
We have offices in more than 35 cities, including London, New York, Hong Kong, Beijing, Manila, Sofia, San Francisco and Tokyo. Join us and find an inclusive and fast-paced environment with unique opportunities to support every step of your career.
Learn more about the FT, including announcements and career opportunities, at aboutus.ft.com.
The Role / Position Overview
One of the world’s leading global business news publishers - the Financial Times - is recognised as an innovator within the media industry, pioneering successful new digital business models and delivery. Within this dynamic, customer-centric organisation reacting to a fast-moving digital environment, the Customer Analytics team plays a pivotal role in driving the success of the FT, helping to shape all areas of our multichannel strategy.
This is a unique opportunity for someone passionate about solving problems to start or advance a career within data/analytics. Over the past three years, the Data Intelligence team has established itself as an independent source of truth and strategic advice for the whole business.
The successful analyst will be eager to learn new skills and brave enough to ask questions. Our goal is to have you providing actionable insight to a variety of stakeholders across the business (i.e. Marketing, Product, Editorial, Sales, Senior Management Group etc.). This will involve taking data from multiple sources and combining acute business knowledge to shape the findings. You will be transforming insights into easy to understand data visualisations/presentations/recommendations to the end stakeholder.
Required Skills / Experience
Essential
Exposure to working with a wide variety of data sets
Presentation and communication skills - particularly strong in presenting complex data and analytical findings to non-technical audiences
Have a passion for data visualisation & familiarity with techniques (could range from basic to advanced)
A commercially minded individual - ability to understand the commercial imperatives behind the data needs
Thorough, inquisitive, innovative, ‘out-of-the-box’ thinking
Have a passion for digital business, mobile, and emerging technologies
University degree attainment in Mathematics / Management / Business / Psychology / Computer Science / Statistics / Economics / or similar numerate discipline
Self-motivated, with the ability to manage and follow up on multiple tasks simultaneously
Desirable
Pivot tables, VLookups, cubes and advanced Excel skills
Database design basics
SQL skills
What’s in it for you? Our Benefits Our benefits vary depending on location, but we are committed to providing best in class perks across all our offices as well as an inclusive environment to develop your career. Examples of our benefits include; generous annual leave allowances, flexible working, medical cover, enhanced maternity & paternity packages and subsidised gym memberships. Full details of our benefits can be found here .
17/10/2019
Full time
Company Overview
The Financial Times is one of the world’s leading business news organisations, recognised internationally for its authority, integrity and accuracy. The FT has a record paying readership of one million, three-quarters of which are digital subscriptions. It is part of Nikkei Inc., which provides a broad range of information, news and services for the global business community.
We have offices in more than 35 cities, including London, New York, Hong Kong, Beijing, Manila, Sofia, San Francisco and Tokyo. Join us and find an inclusive and fast-paced environment with unique opportunities to support every step of your career.
Learn more about the FT, including announcements and career opportunities, at aboutus.ft.com.
The Role / Position Overview
One of the world’s leading global business news publishers - the Financial Times - is recognised as an innovator within the media industry, pioneering successful new digital business models and delivery. Within this dynamic, customer-centric organisation reacting to a fast-moving digital environment, the Customer Analytics team plays a pivotal role in driving the success of the FT, helping to shape all areas of our multichannel strategy.
This is a unique opportunity for someone passionate about solving problems to start or advance a career within data/analytics. Over the past three years, the Data Intelligence team has established itself as an independent source of truth and strategic advice for the whole business.
The successful analyst will be eager to learn new skills and brave enough to ask questions. Our goal is to have you providing actionable insight to a variety of stakeholders across the business (i.e. Marketing, Product, Editorial, Sales, Senior Management Group etc.). This will involve taking data from multiple sources and combining acute business knowledge to shape the findings. You will be transforming insights into easy to understand data visualisations/presentations/recommendations to the end stakeholder.
Required Skills / Experience
Essential
Exposure to working with a wide variety of data sets
Presentation and communication skills - particularly strong in presenting complex data and analytical findings to non-technical audiences
Have a passion for data visualisation & familiarity with techniques (could range from basic to advanced)
A commercially minded individual - ability to understand the commercial imperatives behind the data needs
Thorough, inquisitive, innovative, ‘out-of-the-box’ thinking
Have a passion for digital business, mobile, and emerging technologies
University degree attainment in Mathematics / Management / Business / Psychology / Computer Science / Statistics / Economics / or similar numerate discipline
Self-motivated, with the ability to manage and follow up on multiple tasks simultaneously
Desirable
Pivot tables, VLookups, cubes and advanced Excel skills
Database design basics
SQL skills
What’s in it for you? Our Benefits Our benefits vary depending on location, but we are committed to providing best in class perks across all our offices as well as an inclusive environment to develop your career. Examples of our benefits include; generous annual leave allowances, flexible working, medical cover, enhanced maternity & paternity packages and subsidised gym memberships. Full details of our benefits can be found here .
Springer Nature is one of the world’s leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 170 years of combined history behind them, providing quality content through a range of innovative products and services. Every day, around the globe, our imprints, books, journals and resources reach millions of people, helping researchers and scientists to discover, students to learn and professionals to achieve their goals and ambitions. The company has almost 13,000 staff in over 50 countries.
17/10/2019
Full time
Springer Nature is one of the world’s leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 170 years of combined history behind them, providing quality content through a range of innovative products and services. Every day, around the globe, our imprints, books, journals and resources reach millions of people, helping researchers and scientists to discover, students to learn and professionals to achieve their goals and ambitions. The company has almost 13,000 staff in over 50 countries.
Given that both current co-founders have limited technical skills, our ideal CTO is willing to take responsibility for building and managing the technology behind Sagefund.
*We don’t expect our CTO to have a background in finance or investing, but they should be curious to learn about it!*
In order to launch our MVP, we need to build the following:
An asset selection algorithm, based on modern economic principles. The algorithm should be able to scan all available ETFs and filter them down. The end result should be a set of ~12 different portfolios (of 4-8 ETF products), designed for different user needs.
The ideal candidate will have a good grasp of maths and statistics, and will be capable of translating financial and economic equations into code.
On the website, users will express their particular investment needs, and our system must be able to match those preferences with one of our portfolios.
We need a safe backend system that is connected to the API of a broker partner, in order to execute the sales and purchases of our customer’s portfolios.
During regular time-intervals, we need an algorithm that automatically rebalances our customer’s portfolios.
Support us in applying for funding and grants to further expand the Sagefund team.
Flesh out our website, to include user-areas, which depict the current state of their investments, and give them the option to buy/sell more financial products.
We don’t expect our CTO to be able to build all of this themselves, but they should be excited to learn or outsource different parts of the project.
From a personal perspective, we are looking for someone whom is genuinely interested in the field of investing (modern portfolio theory in particular) and will find it exciting to work on this project!
11/10/2019
Full time
Given that both current co-founders have limited technical skills, our ideal CTO is willing to take responsibility for building and managing the technology behind Sagefund.
*We don’t expect our CTO to have a background in finance or investing, but they should be curious to learn about it!*
In order to launch our MVP, we need to build the following:
An asset selection algorithm, based on modern economic principles. The algorithm should be able to scan all available ETFs and filter them down. The end result should be a set of ~12 different portfolios (of 4-8 ETF products), designed for different user needs.
The ideal candidate will have a good grasp of maths and statistics, and will be capable of translating financial and economic equations into code.
On the website, users will express their particular investment needs, and our system must be able to match those preferences with one of our portfolios.
We need a safe backend system that is connected to the API of a broker partner, in order to execute the sales and purchases of our customer’s portfolios.
During regular time-intervals, we need an algorithm that automatically rebalances our customer’s portfolios.
Support us in applying for funding and grants to further expand the Sagefund team.
Flesh out our website, to include user-areas, which depict the current state of their investments, and give them the option to buy/sell more financial products.
We don’t expect our CTO to be able to build all of this themselves, but they should be excited to learn or outsource different parts of the project.
From a personal perspective, we are looking for someone whom is genuinely interested in the field of investing (modern portfolio theory in particular) and will find it exciting to work on this project!
Who We Are:
Informa is one of the world's leading knowledge providers. We create and deliver highly specialized information through publishing, events, training, market intelligence and expertise, providing valuable knowledge to individuals, businesses and organizations worldwide.
Informa Markets is among the world's top Exhibitions organizers, organizing events that enable buyers and sellers in specialist communities to meet face to face, build relationships and conduct business. Informa has an extensive and diverse portfolio serving several core verticals.
Global Reporting & Analytics:
The Global Reporting & Analytics team at Informa Markets delivers timely and actionable information, as well as providing advanced analytic support to all areas of the business. Using enterprise level reporting and analytics tools, the Global Reporting & Analytics team provides value add deliverables, as well as training to self-service users within the business. It is the goal of Global Reporting & Analytics to enable channels that deliver the most timely and reliable data to the decision makers within the business.
Position Description:
The Data Scientist is a specialized position responsible for ad hoc analyses and projects requiring knowledge of advanced statistical methodologies and tools. This position is an expert statistician possessing experience with various analytics tools (R, SAS JMP, Python, Alteryx, etc.). The successful candidate will work with business and technical resources to identify, coordinate, and guide advanced analytic endeavors. The Data Scientist will also have the ability to effectively communicate findings to all levels of the business.
Responsibilities:
Research and develop statistical models for data analysis
Identify and direct valueadd initiatives within the business involving advanced statistical techniques
Create and maintain documentation regarding advanced analytical initiatives
Work with Reporting Engineers, the Reporting Engagement team, and Self Service Analysts to understand analytical demand within the business, coordinate to meet that demand, and effectively communicate results to the business
Keep up to date with the latest relevant technology
Help the business implement statistical methodologies for real world, value add results
Skill Set:
Expert in statistical methods and predictive modeling
Extensive experience in data mining
Excellent SAS JMP skills
Strong communications skills and ability to coordinate project teams
Strong SQL development skills
Strong skill with R and/or Python a plus
Strong knowledge of MS Power BI preferred
We Offer:
Competitive Compensation Package
Access to LinkedIn Learning and other development/training opportunities
Health and Wellness Benefits (medical, dental, eye)
401K and Matching
Employee Stock Purchase Program
Generous PTO policy
Work-life balance
Additional discounts through various partnerships
Informa is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, or national origin.
11/10/2019
Full time
Who We Are:
Informa is one of the world's leading knowledge providers. We create and deliver highly specialized information through publishing, events, training, market intelligence and expertise, providing valuable knowledge to individuals, businesses and organizations worldwide.
Informa Markets is among the world's top Exhibitions organizers, organizing events that enable buyers and sellers in specialist communities to meet face to face, build relationships and conduct business. Informa has an extensive and diverse portfolio serving several core verticals.
Global Reporting & Analytics:
The Global Reporting & Analytics team at Informa Markets delivers timely and actionable information, as well as providing advanced analytic support to all areas of the business. Using enterprise level reporting and analytics tools, the Global Reporting & Analytics team provides value add deliverables, as well as training to self-service users within the business. It is the goal of Global Reporting & Analytics to enable channels that deliver the most timely and reliable data to the decision makers within the business.
Position Description:
The Data Scientist is a specialized position responsible for ad hoc analyses and projects requiring knowledge of advanced statistical methodologies and tools. This position is an expert statistician possessing experience with various analytics tools (R, SAS JMP, Python, Alteryx, etc.). The successful candidate will work with business and technical resources to identify, coordinate, and guide advanced analytic endeavors. The Data Scientist will also have the ability to effectively communicate findings to all levels of the business.
Responsibilities:
Research and develop statistical models for data analysis
Identify and direct valueadd initiatives within the business involving advanced statistical techniques
Create and maintain documentation regarding advanced analytical initiatives
Work with Reporting Engineers, the Reporting Engagement team, and Self Service Analysts to understand analytical demand within the business, coordinate to meet that demand, and effectively communicate results to the business
Keep up to date with the latest relevant technology
Help the business implement statistical methodologies for real world, value add results
Skill Set:
Expert in statistical methods and predictive modeling
Extensive experience in data mining
Excellent SAS JMP skills
Strong communications skills and ability to coordinate project teams
Strong SQL development skills
Strong skill with R and/or Python a plus
Strong knowledge of MS Power BI preferred
We Offer:
Competitive Compensation Package
Access to LinkedIn Learning and other development/training opportunities
Health and Wellness Benefits (medical, dental, eye)
401K and Matching
Employee Stock Purchase Program
Generous PTO policy
Work-life balance
Additional discounts through various partnerships
Informa is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, or national origin.
Could you be the next graduate Mango?
At Mango, we firmly believe that any decision can be better made using analytics and data. We also know that a company’s success is increasingly dependent on becoming data-driven. That’s where we come in. Our mission is to empower organisations to make informed decisions using data science and advanced analytics to drive bigger gains, lower costs, and optimise performance.
If this inspires you, read on!
We love nurturing new talent, so we are looking for graduates to take on this coming September to join our awesome team.
What we’re looking for
A 2:1 or above in a degree in a STEM subject – and some knowledge of statistics and programming
The ability to explain complex topics simply
Most importantly you need a real interest and curiosity in data and the value that can be gained from it
We will help you build the required competencies and behaviours suited with a Mango data science/engineering consultant.
Entrants to the graduate programme will be expected to participate in a range of activities, including:
Mango’s world-class technical training (roughly two courses per month)
Soft skills training, including our ‘Trusted Consultant Program’
ValidR development and package building/validation
Delivery and presentation of a mini project showcasing existing and learnt skills
Shadowing various other parts of the business – e.g. teaching, sales, project management
Attending conferences – e.g. Bristol Data Science, LondonR, EARL
Contributing to client-focused projects as skills and approach reach the required level
Start date: 7 Sep 2020 Location: Chippenham Salary: £27,000
11/10/2019
Full time
Could you be the next graduate Mango?
At Mango, we firmly believe that any decision can be better made using analytics and data. We also know that a company’s success is increasingly dependent on becoming data-driven. That’s where we come in. Our mission is to empower organisations to make informed decisions using data science and advanced analytics to drive bigger gains, lower costs, and optimise performance.
If this inspires you, read on!
We love nurturing new talent, so we are looking for graduates to take on this coming September to join our awesome team.
What we’re looking for
A 2:1 or above in a degree in a STEM subject – and some knowledge of statistics and programming
The ability to explain complex topics simply
Most importantly you need a real interest and curiosity in data and the value that can be gained from it
We will help you build the required competencies and behaviours suited with a Mango data science/engineering consultant.
Entrants to the graduate programme will be expected to participate in a range of activities, including:
Mango’s world-class technical training (roughly two courses per month)
Soft skills training, including our ‘Trusted Consultant Program’
ValidR development and package building/validation
Delivery and presentation of a mini project showcasing existing and learnt skills
Shadowing various other parts of the business – e.g. teaching, sales, project management
Attending conferences – e.g. Bristol Data Science, LondonR, EARL
Contributing to client-focused projects as skills and approach reach the required level
Start date: 7 Sep 2020 Location: Chippenham Salary: £27,000
Big Data Architect London | United Kingdom | European Union | EU | Remote | Work from Home | Travelling Why you? Are you a EU based Big Data Architect? Do you want to work remotely? Can you be a recognized thought leader in Big Data technologies and related business metrics for enterprises and startups alike? Do you want to work in a client-facing role that requires strong technical leadership skills? Do you have the ability to drive projects to success and work under stress in fast-paced environments? Can you work as a true consultant to a client and help them to draft technology roadmaps; documenting best practice; identify gaps and then come up with with precise steps of how to get there? Can you work with internal and client teams to implement the details of the backlog you have helped build, stay consistent with best practices and most of all ensure customer satisfaction? If you have a passion for Big Data, consulting, and solving complex problems then this could be the job for you! What will you be doing?
Collaborating with and supporting Pythian sales teams in the pre-sales & account management process from the technical perspective, remotely and on-site for Big Data focused consulting projects.
Travelling to client sites frequently to provide face to face consulting services, meetings and presentation as well as delivering from work and value home.
Conducting technical audits of client’s existing architectures (Infrastructure, Performance, Security, Scalability and more) document best practices and recommendations.
Lead and meet the expectations for client deliverable completion timelines.
Work with Pythian’s clients to help them develop data architecture models to further enable effective service oriented delivery.
Providing component or site-wide performance optimizations and capacity planning.
Mentoring and working with both internal and client development teams directly delivering against an agile backlog.to help engineer highly available, more manageable Big Data platforms.
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 Architect job you will likely have at least 10 years experience in a variety of positions in IT and specialized knowledge and experience in the below:
A strong desire to work in a customer facing consulting type role.
Experience Architecting Big Data platforms using Apache Hadoop distros like, Cloudera, Hortonworks and MapR.
Strong knowledge of cloud data processing architectures.
In-depth knowledge of popular database and data warehouse technologies from Microsoft, Amazon and/or Google (Big Data & Conventional RDBMS), Microsoft Azure SQL Data Warehouse, Teradata, Redshift, BigQuery, Snowflake etc.
Demonstrated knowledge of data warehouse concepts.
Strong understanding of distributed systems architecture.
Be fluent in at least 2 object oriented language, preferably java and python, and have familiarity with functional languages and be proficient in SQL.
Experience with Hive and Impala.
Experience with major distributed processing frameworks: Mapreduce, Spark, Storm, Flink.
Experience with Kafka and Spark Streaming
Ability to work with software engineering teams and understand complex development systems and patterns.
Ability to travel and work across Europe (occasionally on short notice) up to 50% of the time.
Strong communcation skills in English
Nice-to-Haves:
Experience with BI platforms, reporting tools, data visualization products, ETL engines.
Real-time Hadoop query engines like Dremel, Cloudera Impala, Facebook Presto or Berkley Spark/Shark.
DevOps experience with a good understanding of continuous delivery and deployment patterns and tools (Jenkins, Artifactory, Maven, etc)
Experience with Hbase.
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 the 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!
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. More than just a job we hire people who love what they do!As a Big Data Architect in the UK or EU, you will be part of our Customer Service Delivery team that is entrusted to manage our global client's mission critical systems as well as deploying cutting edge technology from blockchain to serverless and cloud databases, covering all modern data and infrastructure. They deliver first class personalized level of service to our clients across financial, educational, media, retail and many more. Intrigued to see what a job is like at Pythian? 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 Europe and around the world! Pythian Careers Disclaimers
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.
All applicants will need to fulfill the requirements necessary to obtain a background check
This role requires applicants are legally eligible to work full time in the required country. At this time, Pythian is unable to accommodate any requests for relocation or sponsorship of individuals’ VISA / work permit applications.
No recruitment agencies please
09/10/2019
Full time
Big Data Architect London | United Kingdom | European Union | EU | Remote | Work from Home | Travelling Why you? Are you a EU based Big Data Architect? Do you want to work remotely? Can you be a recognized thought leader in Big Data technologies and related business metrics for enterprises and startups alike? Do you want to work in a client-facing role that requires strong technical leadership skills? Do you have the ability to drive projects to success and work under stress in fast-paced environments? Can you work as a true consultant to a client and help them to draft technology roadmaps; documenting best practice; identify gaps and then come up with with precise steps of how to get there? Can you work with internal and client teams to implement the details of the backlog you have helped build, stay consistent with best practices and most of all ensure customer satisfaction? If you have a passion for Big Data, consulting, and solving complex problems then this could be the job for you! What will you be doing?
Collaborating with and supporting Pythian sales teams in the pre-sales & account management process from the technical perspective, remotely and on-site for Big Data focused consulting projects.
Travelling to client sites frequently to provide face to face consulting services, meetings and presentation as well as delivering from work and value home.
Conducting technical audits of client’s existing architectures (Infrastructure, Performance, Security, Scalability and more) document best practices and recommendations.
Lead and meet the expectations for client deliverable completion timelines.
Work with Pythian’s clients to help them develop data architecture models to further enable effective service oriented delivery.
Providing component or site-wide performance optimizations and capacity planning.
Mentoring and working with both internal and client development teams directly delivering against an agile backlog.to help engineer highly available, more manageable Big Data platforms.
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 Architect job you will likely have at least 10 years experience in a variety of positions in IT and specialized knowledge and experience in the below:
A strong desire to work in a customer facing consulting type role.
Experience Architecting Big Data platforms using Apache Hadoop distros like, Cloudera, Hortonworks and MapR.
Strong knowledge of cloud data processing architectures.
In-depth knowledge of popular database and data warehouse technologies from Microsoft, Amazon and/or Google (Big Data & Conventional RDBMS), Microsoft Azure SQL Data Warehouse, Teradata, Redshift, BigQuery, Snowflake etc.
Demonstrated knowledge of data warehouse concepts.
Strong understanding of distributed systems architecture.
Be fluent in at least 2 object oriented language, preferably java and python, and have familiarity with functional languages and be proficient in SQL.
Experience with Hive and Impala.
Experience with major distributed processing frameworks: Mapreduce, Spark, Storm, Flink.
Experience with Kafka and Spark Streaming
Ability to work with software engineering teams and understand complex development systems and patterns.
Ability to travel and work across Europe (occasionally on short notice) up to 50% of the time.
Strong communcation skills in English
Nice-to-Haves:
Experience with BI platforms, reporting tools, data visualization products, ETL engines.
Real-time Hadoop query engines like Dremel, Cloudera Impala, Facebook Presto or Berkley Spark/Shark.
DevOps experience with a good understanding of continuous delivery and deployment patterns and tools (Jenkins, Artifactory, Maven, etc)
Experience with Hbase.
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 the 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!
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. More than just a job we hire people who love what they do!As a Big Data Architect in the UK or EU, you will be part of our Customer Service Delivery team that is entrusted to manage our global client's mission critical systems as well as deploying cutting edge technology from blockchain to serverless and cloud databases, covering all modern data and infrastructure. They deliver first class personalized level of service to our clients across financial, educational, media, retail and many more. Intrigued to see what a job is like at Pythian? 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 Europe and around the world! Pythian Careers Disclaimers
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.
All applicants will need to fulfill the requirements necessary to obtain a background check
This role requires applicants are legally eligible to work full time in the required country. At this time, Pythian is unable to accommodate any requests for relocation or sponsorship of individuals’ VISA / work permit applications.
No recruitment agencies please
We're looking for talented, experienced Data Scientists to join our growing Data Science team. GoCardless is building a new global network for recurring payments. We're cutting out the intermediaries and linking together direct debit schemes from around the world to create a simple way of collecting payments directly from customers' bank accounts. Annual payment volume at GoCardless exceeds £10 billion, and we're processing up to hundreds of thousands of transactions every day. As we grow, there is an increasing demand for data across all functions. Our ability to understand our users, and make sound and timely business decisions is hugely dependent our ability to extract meaning from this data. The data team exists to enable GoCardless to make smarter decisions by providing a combination of data oriented products, solutions and technologies. The data team is building data products that massively enhance the value and differentiation of our products at a global scale. -------- THE ROLE -------- Data is at the centre of our ability to add value to our customers and to our business. Fraud prevention, marketing optimisation, churn prevention, payment failure optimisation and upsell propensity are all areas of active work. You will work closely with cross-discipline teams, taking responsibility for end to end algorithm development from initial concept through to production readiness.
We are looking for Data Scientists that will help us build predictive models that substantially increase the value that we provide to our customers and the efficiency of our operations by building new data products that leverage our growing volume of raw data.
You will develop and productionise data products and predictive models in collaboration with your team. Working with Product Managers, software developers and subject matter experts, you'll bring your own expertise to the team helping to move from abstract concepts, through design and build, to scalable algorithms that will deliver the teams goals.
You will play a part in specifying the underlying infrastructure we are building to support the day to day work of Data Scientists and to enable models to be easily productionised.
You will create meaningful data visualizations that communicate your findings and relate them back to how your insights create business impact.
--------------------------- WHO WE'RE LOOKING FOR ---------------------------
You're a self-starter - you can independently drive a team's work forward, finding and exploiting opportunities where data science can impact our business objectives.
You love digging into data and uncovering actionable insights
You're passionate about using data to help teams become more productive
You have intellectual curiosity
You are a communicative person that values building strong relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms.
------------ REQUIREMENTS ------------
You'll have a degree (or PhD) in a numerate discipline or significant experience working in a commercial setting.
You'll have commercial experience building robust ML models in a production environment.
You have strong technical skills in data manipulation and extraction (strong SQL knowledge), data analysis and model prototyping and productionisation (Python, R or similar)
You have solid experience of deep-dive analysis of complex data; managing data quality; feature selection; and prototyping, validation, and productionisation of Machine Learning models.
You'll be able to point to a range of different techniques to solve a problem and demonstrate how you're able to apply maths to data and deliver tangible, quantifiable business results.
You have strong data visualisation skills
You're comfortable with writing and maintaining code. Our preference is that your language of choice for data-wrangling is Python. However, R is also an option during prototyping phases
You have a track record of deploying predictive models and data products in production with quantifiable impact.
Our team come from a variety of backgrounds and we welcome diversity – if you're unsure, please apply. Reference - #LI-TW1
13/11/2019
Full time
We're looking for talented, experienced Data Scientists to join our growing Data Science team. GoCardless is building a new global network for recurring payments. We're cutting out the intermediaries and linking together direct debit schemes from around the world to create a simple way of collecting payments directly from customers' bank accounts. Annual payment volume at GoCardless exceeds £10 billion, and we're processing up to hundreds of thousands of transactions every day. As we grow, there is an increasing demand for data across all functions. Our ability to understand our users, and make sound and timely business decisions is hugely dependent our ability to extract meaning from this data. The data team exists to enable GoCardless to make smarter decisions by providing a combination of data oriented products, solutions and technologies. The data team is building data products that massively enhance the value and differentiation of our products at a global scale. -------- THE ROLE -------- Data is at the centre of our ability to add value to our customers and to our business. Fraud prevention, marketing optimisation, churn prevention, payment failure optimisation and upsell propensity are all areas of active work. You will work closely with cross-discipline teams, taking responsibility for end to end algorithm development from initial concept through to production readiness.
We are looking for Data Scientists that will help us build predictive models that substantially increase the value that we provide to our customers and the efficiency of our operations by building new data products that leverage our growing volume of raw data.
You will develop and productionise data products and predictive models in collaboration with your team. Working with Product Managers, software developers and subject matter experts, you'll bring your own expertise to the team helping to move from abstract concepts, through design and build, to scalable algorithms that will deliver the teams goals.
You will play a part in specifying the underlying infrastructure we are building to support the day to day work of Data Scientists and to enable models to be easily productionised.
You will create meaningful data visualizations that communicate your findings and relate them back to how your insights create business impact.
--------------------------- WHO WE'RE LOOKING FOR ---------------------------
You're a self-starter - you can independently drive a team's work forward, finding and exploiting opportunities where data science can impact our business objectives.
You love digging into data and uncovering actionable insights
You're passionate about using data to help teams become more productive
You have intellectual curiosity
You are a communicative person that values building strong relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms.
------------ REQUIREMENTS ------------
You'll have a degree (or PhD) in a numerate discipline or significant experience working in a commercial setting.
You'll have commercial experience building robust ML models in a production environment.
You have strong technical skills in data manipulation and extraction (strong SQL knowledge), data analysis and model prototyping and productionisation (Python, R or similar)
You have solid experience of deep-dive analysis of complex data; managing data quality; feature selection; and prototyping, validation, and productionisation of Machine Learning models.
You'll be able to point to a range of different techniques to solve a problem and demonstrate how you're able to apply maths to data and deliver tangible, quantifiable business results.
You have strong data visualisation skills
You're comfortable with writing and maintaining code. Our preference is that your language of choice for data-wrangling is Python. However, R is also an option during prototyping phases
You have a track record of deploying predictive models and data products in production with quantifiable impact.
Our team come from a variety of backgrounds and we welcome diversity – if you're unsure, please apply. Reference - #LI-TW1
Ricardo is a leading energy and environmental consultancy that works with governments, international donors and the private sector to reduce the impacts of climate change and enable sustainable business growth through award winning consultancy and technical expertise.
We tackle some of the world’s toughest environmental challenges, working on monitoring and improving air quality in cities, guiding decisions about energy generation and use, helping governments with climate change and resource efficiency, developing policies about transport and water resources, and offering emergency response services for chemical spills, in short our team save people’s lives and protect the environment, assets and organisations reputations on a daily basis. This aligns to Ricardo’s vision of ‘a world it for the future’ and Ricardo Energy & Environment’s vision of a world where we can all live sustainably. Ultimately you would be working for a company that does real good.
Our Digital Services team work in collaboration with Ricardo’s wide range of internationally recognised experts and scientists across these environmental sectors, creating new and innovative solutions to tackle some of the world’s most pressing challenges. With some exciting growth plans you’ll be joining the digital services team with opportunities to work on a wide variety of digital projects and technically challenging work both nationally and internationally.
Purpose:
We have an exciting opportunity for a data science apprentice to join our team. It is a dedicated three-year apprenticeship, leading to a BSc (Hons) Data Science degree (awarded by York St John University (YSJ)). Through this role you will develop your technical skills and learn how to approach and solve analytical problems. The degree is fully funded, and by the time you’ve graduated, you’ll be a trusted professional working as part of a leading team.
Through a series of university taught modules (taught through block release for 5 weeks per year at YSJ London campus) and hands-on experience, we will prepare you to work across our wider business. You will provide support to the practices, who are helping clients around the world in the development, implementation and appraisal of environmental policy and technical solutions.
You will have the curiosity to work across a range of thematic areas and will collaborate closely with technical experts in multi-disciplinary teams. You should also enjoy solving complex analytical problems and demonstrate exceptional critical thinking skills.
Key accountabilities:
As a data science apprentice, we will help you develop the technical skills to support colleagues in automating workflows, data wrangling and applying the latest data analysis techniques. You will manage your time across several projects, contributing to data cleaning, data analysis, modelling and report-writing.
This is a varied role in which you will have the opportunity to work on different projects and gain broad exposure to the world of environmental consultancy.
Key competencies and experience:
A predicted or achieved total of 112 UCAS points (top 3 A levels or equivalent calculated points only) from the new UCAS scoring methodology, including a Maths A-level
A curious mind and love of developing new skills
An interest in coding and software programming
Interest and ability to learn and apply data science techniques
No previous experience or education in the environmental sector is necessary, but a passion for what we do is essential
In return for your commitment, drive and enthusiasm, we offer an attractive benefits package, a personal development plan, flexible working, and the opportunity to make a difference in a competitive and rewarding field. Ricardo Energy & Environment is an equal opportunities employer.
Ricardo Energy & Environment is a leading sustainability consultancy operating across the world. With unrivalled sector insight and a reputation for producing innovative solutions, we offer a stimulating and rewarding environment in which to work.
13/11/2019
Full time
Ricardo is a leading energy and environmental consultancy that works with governments, international donors and the private sector to reduce the impacts of climate change and enable sustainable business growth through award winning consultancy and technical expertise.
We tackle some of the world’s toughest environmental challenges, working on monitoring and improving air quality in cities, guiding decisions about energy generation and use, helping governments with climate change and resource efficiency, developing policies about transport and water resources, and offering emergency response services for chemical spills, in short our team save people’s lives and protect the environment, assets and organisations reputations on a daily basis. This aligns to Ricardo’s vision of ‘a world it for the future’ and Ricardo Energy & Environment’s vision of a world where we can all live sustainably. Ultimately you would be working for a company that does real good.
Our Digital Services team work in collaboration with Ricardo’s wide range of internationally recognised experts and scientists across these environmental sectors, creating new and innovative solutions to tackle some of the world’s most pressing challenges. With some exciting growth plans you’ll be joining the digital services team with opportunities to work on a wide variety of digital projects and technically challenging work both nationally and internationally.
Purpose:
We have an exciting opportunity for a data science apprentice to join our team. It is a dedicated three-year apprenticeship, leading to a BSc (Hons) Data Science degree (awarded by York St John University (YSJ)). Through this role you will develop your technical skills and learn how to approach and solve analytical problems. The degree is fully funded, and by the time you’ve graduated, you’ll be a trusted professional working as part of a leading team.
Through a series of university taught modules (taught through block release for 5 weeks per year at YSJ London campus) and hands-on experience, we will prepare you to work across our wider business. You will provide support to the practices, who are helping clients around the world in the development, implementation and appraisal of environmental policy and technical solutions.
You will have the curiosity to work across a range of thematic areas and will collaborate closely with technical experts in multi-disciplinary teams. You should also enjoy solving complex analytical problems and demonstrate exceptional critical thinking skills.
Key accountabilities:
As a data science apprentice, we will help you develop the technical skills to support colleagues in automating workflows, data wrangling and applying the latest data analysis techniques. You will manage your time across several projects, contributing to data cleaning, data analysis, modelling and report-writing.
This is a varied role in which you will have the opportunity to work on different projects and gain broad exposure to the world of environmental consultancy.
Key competencies and experience:
A predicted or achieved total of 112 UCAS points (top 3 A levels or equivalent calculated points only) from the new UCAS scoring methodology, including a Maths A-level
A curious mind and love of developing new skills
An interest in coding and software programming
Interest and ability to learn and apply data science techniques
No previous experience or education in the environmental sector is necessary, but a passion for what we do is essential
In return for your commitment, drive and enthusiasm, we offer an attractive benefits package, a personal development plan, flexible working, and the opportunity to make a difference in a competitive and rewarding field. Ricardo Energy & Environment is an equal opportunities employer.
Ricardo Energy & Environment is a leading sustainability consultancy operating across the world. With unrivalled sector insight and a reputation for producing innovative solutions, we offer a stimulating and rewarding environment in which to work.
Data Scientist
This is a unique opportunity to gain experience within an internationally recognised company involved in the research and analysis of emerging technologies.
The successful candidate will be an experienced developer with good working knowledge relevant to what we do. You will rise to the challenge of extracting and analysing data, working closely with our growing team of technology analysts.
The role is located at our central Cambridge office, CB1. A relaxed, informal and friendly working environment.
The role is full time (flexible work hours are available) and the successful candidate will already have permission to work in the UK.
Competitive remuneration package with immediate start available.
Qualifications
BSc or equivalent qualification with strong technical or scientific component (e.g. Computer Science, Maths, Statistics).
Experience
Demonstrable full stack develop
Familiarity with SQL Server
Strong in data analysis, interpretation and visualization
Key skills:
Data mining from the web, APIs, etc.
Ad-hoc data processing of structured data
Self-motivated, must be able to work well independently as well as with a team
Creative thinker, intellectually curious with a proactive and collaborative approach
Will possess excellent problem-solving skills
Desirable skills :
Relevant data-oriented programming languages (e.g. OCaml, F#, Scala, Swift, Haskell, Mathematica, Julia, Clojure, Lisp, R)
Relevant data-oriented tools and libraries
13/11/2019
Full time
Data Scientist
This is a unique opportunity to gain experience within an internationally recognised company involved in the research and analysis of emerging technologies.
The successful candidate will be an experienced developer with good working knowledge relevant to what we do. You will rise to the challenge of extracting and analysing data, working closely with our growing team of technology analysts.
The role is located at our central Cambridge office, CB1. A relaxed, informal and friendly working environment.
The role is full time (flexible work hours are available) and the successful candidate will already have permission to work in the UK.
Competitive remuneration package with immediate start available.
Qualifications
BSc or equivalent qualification with strong technical or scientific component (e.g. Computer Science, Maths, Statistics).
Experience
Demonstrable full stack develop
Familiarity with SQL Server
Strong in data analysis, interpretation and visualization
Key skills:
Data mining from the web, APIs, etc.
Ad-hoc data processing of structured data
Self-motivated, must be able to work well independently as well as with a team
Creative thinker, intellectually curious with a proactive and collaborative approach
Will possess excellent problem-solving skills
Desirable skills :
Relevant data-oriented programming languages (e.g. OCaml, F#, Scala, Swift, Haskell, Mathematica, Julia, Clojure, Lisp, R)
Relevant data-oriented tools and libraries
Description
The Camlin Group is a rapidly expanding technology company who are seeking to recruit top talent for our head office in Lisburn, UK. If you are interested in a rewarding career with a company developing cutting-edge technology the Camlin Group is interested to hear from you.
With headquarters in Lisburn the Camlin Group is locally and privately owned, and listed in the Sunday Times 100 Fastest growing UK Tech companies in 2013. The Camlin Group has technical centres of excellence in global locations, including Krakow, Bologna, Copenhagen, Quebec and Lisburn. Our design work encompasses the highest level of digital electronics, DSP, software & firmware, mechanical engineering, applications and field engineering. We have thousands of devices meauring multi-dimensional data at sample rates ranging from 1Hz to 100MHz. We also have in-house research in vacuum technology, plasma physics, ionic fluids, laser physics, nano technology and more.
Responsibilities
We currently have an opportunity for a highly motivated Data Scientist who is looking to use Machine Learning to provide new insights into large time series datasets. You can expect to be engaging with a range of technologies to build effective, robust and sustainable machine learning models which support improved acquisition and give new insights and understanding of the underlying trends and physical phenomena. As the Data Scientist you will tasked with manipulating and processing large datasets, and be responsible for developing data analytics to provide a data-driven understanding of customer behaviour that helps shape the strategic roadmap of the business and customer propositions, and ultimately improves profitability of our customers.
Responsibilities include:
Select appropriate machine learning techniques to provide commercially viable applications
Build, deploy and optimise machine learning models which meet strategic business needs
Develop requirements for data acquisition and storage to support machine learning applications
Collaborate with internal technical teams to deliver efficient data flow
Required Criteria
Essential Criteria:
MSc in a Data Science or Analytics field
Python programming and analytics skills
Good data manipulation skills required including cleaning, managing, merging data.
Deep knowledge of supervised and unsupervised machine learning techniques, building data sets and engineering features
Desired Criteria
Desired Criteria:
Experience applying statistical methods, predictive analytics and machine learning
Experience working with high volume, high dimensional and time series data
Experience with interrogating databases including use of SQL
Excellent understanding of machine learning techniques and algorithms, such as neural networks, SVMs, clustering, anomoly detection etc.
Knowledge of common data science toolkits, such as R, Weka, Scikit-learn, Keras, Tensorflow etc. Excellence in at least one of these is highly desirable
Personal Attributes
Personal Attributes:
Quality-focused, conscientious individual demonstrating attention to detail
Ability to communicate effectively with clients and colleagues.
Motivation to create high quality products and systems and learn new skills
Ability to work independently, and collaborate as part of a wider technical team
Camlin’s graduate roles are for an initial period of 18 months.
Due to volume of applications, not all applicants will receive feedback
Statement on Fair Employment and Equal Opportunities
Camlin Group wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of gender, sexual orientation, race, religious belief, political opinion, marital status, age or disability.
Unfortunately, due to the high volume of applications, not all submissions may receive feedback.
13/11/2019
Full time
Description
The Camlin Group is a rapidly expanding technology company who are seeking to recruit top talent for our head office in Lisburn, UK. If you are interested in a rewarding career with a company developing cutting-edge technology the Camlin Group is interested to hear from you.
With headquarters in Lisburn the Camlin Group is locally and privately owned, and listed in the Sunday Times 100 Fastest growing UK Tech companies in 2013. The Camlin Group has technical centres of excellence in global locations, including Krakow, Bologna, Copenhagen, Quebec and Lisburn. Our design work encompasses the highest level of digital electronics, DSP, software & firmware, mechanical engineering, applications and field engineering. We have thousands of devices meauring multi-dimensional data at sample rates ranging from 1Hz to 100MHz. We also have in-house research in vacuum technology, plasma physics, ionic fluids, laser physics, nano technology and more.
Responsibilities
We currently have an opportunity for a highly motivated Data Scientist who is looking to use Machine Learning to provide new insights into large time series datasets. You can expect to be engaging with a range of technologies to build effective, robust and sustainable machine learning models which support improved acquisition and give new insights and understanding of the underlying trends and physical phenomena. As the Data Scientist you will tasked with manipulating and processing large datasets, and be responsible for developing data analytics to provide a data-driven understanding of customer behaviour that helps shape the strategic roadmap of the business and customer propositions, and ultimately improves profitability of our customers.
Responsibilities include:
Select appropriate machine learning techniques to provide commercially viable applications
Build, deploy and optimise machine learning models which meet strategic business needs
Develop requirements for data acquisition and storage to support machine learning applications
Collaborate with internal technical teams to deliver efficient data flow
Required Criteria
Essential Criteria:
MSc in a Data Science or Analytics field
Python programming and analytics skills
Good data manipulation skills required including cleaning, managing, merging data.
Deep knowledge of supervised and unsupervised machine learning techniques, building data sets and engineering features
Desired Criteria
Desired Criteria:
Experience applying statistical methods, predictive analytics and machine learning
Experience working with high volume, high dimensional and time series data
Experience with interrogating databases including use of SQL
Excellent understanding of machine learning techniques and algorithms, such as neural networks, SVMs, clustering, anomoly detection etc.
Knowledge of common data science toolkits, such as R, Weka, Scikit-learn, Keras, Tensorflow etc. Excellence in at least one of these is highly desirable
Personal Attributes
Personal Attributes:
Quality-focused, conscientious individual demonstrating attention to detail
Ability to communicate effectively with clients and colleagues.
Motivation to create high quality products and systems and learn new skills
Ability to work independently, and collaborate as part of a wider technical team
Camlin’s graduate roles are for an initial period of 18 months.
Due to volume of applications, not all applicants will receive feedback
Statement on Fair Employment and Equal Opportunities
Camlin Group wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of gender, sexual orientation, race, religious belief, political opinion, marital status, age or disability.
Unfortunately, due to the high volume of applications, not all submissions may receive feedback.
Data Scientist - Statistician
Unilever is a global company selling fast-moving consumer goods. Our purpose is to make sustainable living commonplace.
The Data Science team in R&D provides leading edge statistics and data science expertise to deliver predictive models and advanced analytics that help drive Unilever’s research programmes. The focus of the team is the design and planning of experiments, analyses of data, building and validating predictive models and interpretation and exploitation of analysis outcomes. The brands we support span Unilever’s divisions, and include Dove, Magnum, Domestos and Knorr.
All about You :
We are looking for a Statistician or Data Scientist, who will support our Product Innovation and Science & Technology teams in R&D. The ideal candidate is adept at statistical experimental design, analysing small and large sets of data and using models to test the effectiveness of different courses of action. This statistician or data scientist must have strong background in statistical analysis, modelling and experience using a variety of data analysis methods, to build and implement models. The right candidate will have a passion for problem solving, discovering solution/insights hidden in data and working with stakeholders to improve business outcomes.
You should have a Masters Degree in Statistics or Biostatistics, with proven experience as a Statistician or Data Scientist in research or the FMCG/Retail/Pharmaceutical industries applying a variety of data analysis methods.
Locations: Colworth Laboratory, Sharnbrook, Bedfordshire UK
Knowledge & Technical Skills:
Demonstrated fluency in applying statistics methods in scientific research.
Experience of applying statistical Design of Experiments approaches.
Hands-on technical expertise in data visualization - understanding patterns in data
Strong technical background in multivariate statistical methods.
Hands-on experience with professional statistical software such as SAS, R and JMP.
Strong interpersonal skills, oral and written communication skills; the ability to frame a problem.
Ability to collaborate and consult effectively in global teams across time-zones and cultures
Main Responsibilities:
Provision of statistics and data science expertise across a range of R&D disciplines.
Engagement and collaboration with globally deployed, multi-disciplinary teams including both internal and external partners.
Engagement in continuous learning initiatives to keep abreast of state of the art analytical and statistical computing methods and tools.
Responsibility for the quality and defensibility of statistical analyses, models and data interpretation.
What do we offer
The opportunity to work on brands with the power to brighten peoples’ lives all over the world
Being part of a diverse and ambitious team shaping the future of Unilever’s products
Exciting career opportunities in a global, purpose led business
We are looking for the right statisticians and data scientists for our roles and ambition; we are open to discussing how our flexible working policies can make this role the right one for you.
13/11/2019
Full time
Data Scientist - Statistician
Unilever is a global company selling fast-moving consumer goods. Our purpose is to make sustainable living commonplace.
The Data Science team in R&D provides leading edge statistics and data science expertise to deliver predictive models and advanced analytics that help drive Unilever’s research programmes. The focus of the team is the design and planning of experiments, analyses of data, building and validating predictive models and interpretation and exploitation of analysis outcomes. The brands we support span Unilever’s divisions, and include Dove, Magnum, Domestos and Knorr.
All about You :
We are looking for a Statistician or Data Scientist, who will support our Product Innovation and Science & Technology teams in R&D. The ideal candidate is adept at statistical experimental design, analysing small and large sets of data and using models to test the effectiveness of different courses of action. This statistician or data scientist must have strong background in statistical analysis, modelling and experience using a variety of data analysis methods, to build and implement models. The right candidate will have a passion for problem solving, discovering solution/insights hidden in data and working with stakeholders to improve business outcomes.
You should have a Masters Degree in Statistics or Biostatistics, with proven experience as a Statistician or Data Scientist in research or the FMCG/Retail/Pharmaceutical industries applying a variety of data analysis methods.
Locations: Colworth Laboratory, Sharnbrook, Bedfordshire UK
Knowledge & Technical Skills:
Demonstrated fluency in applying statistics methods in scientific research.
Experience of applying statistical Design of Experiments approaches.
Hands-on technical expertise in data visualization - understanding patterns in data
Strong technical background in multivariate statistical methods.
Hands-on experience with professional statistical software such as SAS, R and JMP.
Strong interpersonal skills, oral and written communication skills; the ability to frame a problem.
Ability to collaborate and consult effectively in global teams across time-zones and cultures
Main Responsibilities:
Provision of statistics and data science expertise across a range of R&D disciplines.
Engagement and collaboration with globally deployed, multi-disciplinary teams including both internal and external partners.
Engagement in continuous learning initiatives to keep abreast of state of the art analytical and statistical computing methods and tools.
Responsibility for the quality and defensibility of statistical analyses, models and data interpretation.
What do we offer
The opportunity to work on brands with the power to brighten peoples’ lives all over the world
Being part of a diverse and ambitious team shaping the future of Unilever’s products
Exciting career opportunities in a global, purpose led business
We are looking for the right statisticians and data scientists for our roles and ambition; we are open to discussing how our flexible working policies can make this role the right one for you.
WHO WE ARE
We’re in the business of delivering awesome meals into everyone's home or office – fast.
We achieve this by building and running a superb website, a suite of mobile apps, a complex logistical platform, a fleet of passionate drivers, and a global operation, all to help bring great food from the world's best-loved local restaurants to consumers with an unparalleled level of convenience. We don’t want people to have to suffer from bad takeaway delivered an age after they order.
We work with hundreds of the UK's best-loved restaurants along with renowned local gems such as to enable them to open up a valuable new revenue stream. Our customers are as passionate about great food as we are!
The only thing faster than our deliveries is the growth rate of our company. We’re increasing in business scale and organisational size at a blisteringly fast rate, and keeping it all together and making everything click are at the heart of what make working at Deliveroo a thrilling experience. If you want to make a difference, and you’re passionate about food, come on board and join the ride.
Product Analytics at Deliveroo
Working hand in hand with our product teams and Data Science leaders, you will spot unexplored opportunities, challenge status quo and present your findings to the broader leadership team.
You are an experienced, hands-on individual with both strong technical skills (SQL, Python / R and data visualisation tools such as Looker) and a business mindset.
You will be extracting, manipulating and analysing data in order to support strategic data-driven decisions to assess company’s growth, efficiency and profitability (that of our customer base, our restaurants or riders). You will design, support and analyse experiments to measure the impact of new services, communications or features and generate insights to inform product roadmaps.
You will develop both your business acumen and technical background through training and exposure to senior executives.
You will:
Conduct analysis and build models that translate data into actionable insights.
Challenge existing assumptions and spot opportunities to growth the customer base, make our operations more efficient, and impact our financial performance.
Perform analysis and build models to inform prioritisation and planning of the product roadmap.
Partner with PMs to ensure that product teams are rigorously data driven. Work closely with engineers, user researchers, designers, and other data scientists.
Be creative and pragmatic in identifying and quantifying opportunities for big impact within your product area.
Bring scientific rigor, entrepreneurial thinking, and a hunger to design and analyze experiments that tell actionable stories with data.
REQUIREMENTS
Self-starter, able to identify variables influencing business success and define models to forecast their evolution.
Strong analytical mindset and critical thinking.
Extended experience running experiments.
Ability to communicate complex findings to key stakeholders in a simple way.
Deep knowledge of SQL and another programming language such as Python or R.
Experience with data visualisation.
The sort of personality who thrives in a fast-moving and quickly changing environment. You should jump for joy when people bring you new ideas or data, and love engaging people across the company at all levels with your enthusiasm for making positive change.
BSc degree (or higher) in Engineering, Computer Science, Physics or any other highly quantitative field.
Nice-to-haves:
Experience in a fast-moving startup culture
Experience with ETL and queries optimisation.
Understanding of machine learning techniques.
Experience with Git.
BENEFITS
Fantastic exposure to scaling a tech team at a unique pace
Work at our new headquarters right by Cannon Street Station. The office has a prayer room, nap room, onsite gym, and a rooftop garden overlooking Tower Bridge. We hold firmwide meetings on our basketball court
Flexible working, including parent friendly working hours, flexible hours, working from home days - all made easy by our great use of tech including video conferencing, slack, workplace
Maternity/paternity leave and shared parental leave
An internationally diverse, sociable, dynamic team to work alongside
Conferences (attending and/or speaking) and learning resources
Company benefits including: discounted private healthcare and a pension plan with employer contributions, childcare voucher scheme, cycle to work scheme, charitable giving, subsidised gym membership, cycle parking)
Company wide tech talks with internal and external speakers, and a calendar of tech meetups hosted on the premises
Regular team off-sites
Access to Deliveroo Plus (no delivery fee on all orders)
Every Friday we order lunch for everyone from restaurants on the Deliveroo platform
We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest growing start ups around.
13/11/2019
Full time
WHO WE ARE
We’re in the business of delivering awesome meals into everyone's home or office – fast.
We achieve this by building and running a superb website, a suite of mobile apps, a complex logistical platform, a fleet of passionate drivers, and a global operation, all to help bring great food from the world's best-loved local restaurants to consumers with an unparalleled level of convenience. We don’t want people to have to suffer from bad takeaway delivered an age after they order.
We work with hundreds of the UK's best-loved restaurants along with renowned local gems such as to enable them to open up a valuable new revenue stream. Our customers are as passionate about great food as we are!
The only thing faster than our deliveries is the growth rate of our company. We’re increasing in business scale and organisational size at a blisteringly fast rate, and keeping it all together and making everything click are at the heart of what make working at Deliveroo a thrilling experience. If you want to make a difference, and you’re passionate about food, come on board and join the ride.
Product Analytics at Deliveroo
Working hand in hand with our product teams and Data Science leaders, you will spot unexplored opportunities, challenge status quo and present your findings to the broader leadership team.
You are an experienced, hands-on individual with both strong technical skills (SQL, Python / R and data visualisation tools such as Looker) and a business mindset.
You will be extracting, manipulating and analysing data in order to support strategic data-driven decisions to assess company’s growth, efficiency and profitability (that of our customer base, our restaurants or riders). You will design, support and analyse experiments to measure the impact of new services, communications or features and generate insights to inform product roadmaps.
You will develop both your business acumen and technical background through training and exposure to senior executives.
You will:
Conduct analysis and build models that translate data into actionable insights.
Challenge existing assumptions and spot opportunities to growth the customer base, make our operations more efficient, and impact our financial performance.
Perform analysis and build models to inform prioritisation and planning of the product roadmap.
Partner with PMs to ensure that product teams are rigorously data driven. Work closely with engineers, user researchers, designers, and other data scientists.
Be creative and pragmatic in identifying and quantifying opportunities for big impact within your product area.
Bring scientific rigor, entrepreneurial thinking, and a hunger to design and analyze experiments that tell actionable stories with data.
REQUIREMENTS
Self-starter, able to identify variables influencing business success and define models to forecast their evolution.
Strong analytical mindset and critical thinking.
Extended experience running experiments.
Ability to communicate complex findings to key stakeholders in a simple way.
Deep knowledge of SQL and another programming language such as Python or R.
Experience with data visualisation.
The sort of personality who thrives in a fast-moving and quickly changing environment. You should jump for joy when people bring you new ideas or data, and love engaging people across the company at all levels with your enthusiasm for making positive change.
BSc degree (or higher) in Engineering, Computer Science, Physics or any other highly quantitative field.
Nice-to-haves:
Experience in a fast-moving startup culture
Experience with ETL and queries optimisation.
Understanding of machine learning techniques.
Experience with Git.
BENEFITS
Fantastic exposure to scaling a tech team at a unique pace
Work at our new headquarters right by Cannon Street Station. The office has a prayer room, nap room, onsite gym, and a rooftop garden overlooking Tower Bridge. We hold firmwide meetings on our basketball court
Flexible working, including parent friendly working hours, flexible hours, working from home days - all made easy by our great use of tech including video conferencing, slack, workplace
Maternity/paternity leave and shared parental leave
An internationally diverse, sociable, dynamic team to work alongside
Conferences (attending and/or speaking) and learning resources
Company benefits including: discounted private healthcare and a pension plan with employer contributions, childcare voucher scheme, cycle to work scheme, charitable giving, subsidised gym membership, cycle parking)
Company wide tech talks with internal and external speakers, and a calendar of tech meetups hosted on the premises
Regular team off-sites
Access to Deliveroo Plus (no delivery fee on all orders)
Every Friday we order lunch for everyone from restaurants on the Deliveroo platform
We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest growing start ups around.
Job Overview: Covance - Leeds, United Kingdom “Every day is another chance to help save the lives of millions of people around the world. When you join our team, you get to be a part of that.” Who we are and what we do: We are a world-leading life sciences company offering data management services to the pharmaceutical industry across the globe, dedicated to delivering solutions that make a real difference to millions worldwide. At Covance, we help make the miracles of medicine a reality. We offer opportunities to work on diverse, challenging projects with bright, interesting colleagues while building a flexible and rewarding career. We put our trust in science and in one another. We believe that supportive teams, passionate people and inspired thinking are the formula for Better Science. This is your chance to become part of a team that helps to bring miracles of medicine to market sooner. The Role: A Data Manger intern is responsible for supporting a variety of study work under the supervision of a study supervisor. S/he will develop a variety of data management skills working on different study types in compliance with departmental SOP’s and to GCP standards. Interns will learn about the wide range of data management services we offer to clients including the design, collection and data analysis for all types of clinical trial data . Interns will work as part of a team and learn to plan their time to meet client timelines. You will learn the following: Gain an overview of Data Management processes within a clinical trial Perform all data management tasks as appropriate to include, but not to be limited to: Design and testing of the Electronic Data Capture (EDC) clinical database Perform ongoing data review including query generation Create and / or update all relevant data management documentation Create study metrics and reports as requested by the study team What you'll receive: You'll undertake an Internship within Data Management over the course of 12 months, A chance to work with industry experts, A chance to put skills in to practice and experience working in a CRO, A chance to Act as an Ambassador across Yorkshire for Internships, A salary of £16,500 A generous benefits and holiday package The opportunity to participate in a custom built internship program with talks from site leaders, insights into different department on site and the chance to develop a community project Minimum Criteria: Be studying for an Undergraduate degree in Life Sciences, Chemistry, Nursing, Data Science or similar. A willingness to learn, Ability to work independently as well as part of a team, Great attention to detail, Good communication skills Get ready to redefine what's possible and discover your extraordinary potential at Covance. Here, you'll have the opportunity to personally advance healthcare and make a difference in peoples' lives with your bold ideas and unique point of view. With the support of exceptional people from across the globe and an energized purpose, you'll be empowered to own your career journey with mentoring, training and personalized development planning. Join us as we speed the delivery of ground breaking therapies and anticipate tomorrow's drug development challenges, creating new possibilities for our clients and your career. Start date: July 2020. Closing date for applications: 22 nd November 2019. Assessment centres to be held: 2 nd – 3 rd December 2019. To Apply go to: www.careers.covance.com/ Education/Qualifications: Working towards bachelor’s degree in Life Sciences, Chemistry, Nursing, Data Science or related field Experience: Has experience delivering multiple projects in an academic or professional setting to set deadlines Ability to collaborate with various stakeholders and internal/external colleagues Embraces diverse ways of thinking through various forms collaboration and partnership
13/11/2019
Full time
Job Overview: Covance - Leeds, United Kingdom “Every day is another chance to help save the lives of millions of people around the world. When you join our team, you get to be a part of that.” Who we are and what we do: We are a world-leading life sciences company offering data management services to the pharmaceutical industry across the globe, dedicated to delivering solutions that make a real difference to millions worldwide. At Covance, we help make the miracles of medicine a reality. We offer opportunities to work on diverse, challenging projects with bright, interesting colleagues while building a flexible and rewarding career. We put our trust in science and in one another. We believe that supportive teams, passionate people and inspired thinking are the formula for Better Science. This is your chance to become part of a team that helps to bring miracles of medicine to market sooner. The Role: A Data Manger intern is responsible for supporting a variety of study work under the supervision of a study supervisor. S/he will develop a variety of data management skills working on different study types in compliance with departmental SOP’s and to GCP standards. Interns will learn about the wide range of data management services we offer to clients including the design, collection and data analysis for all types of clinical trial data . Interns will work as part of a team and learn to plan their time to meet client timelines. You will learn the following: Gain an overview of Data Management processes within a clinical trial Perform all data management tasks as appropriate to include, but not to be limited to: Design and testing of the Electronic Data Capture (EDC) clinical database Perform ongoing data review including query generation Create and / or update all relevant data management documentation Create study metrics and reports as requested by the study team What you'll receive: You'll undertake an Internship within Data Management over the course of 12 months, A chance to work with industry experts, A chance to put skills in to practice and experience working in a CRO, A chance to Act as an Ambassador across Yorkshire for Internships, A salary of £16,500 A generous benefits and holiday package The opportunity to participate in a custom built internship program with talks from site leaders, insights into different department on site and the chance to develop a community project Minimum Criteria: Be studying for an Undergraduate degree in Life Sciences, Chemistry, Nursing, Data Science or similar. A willingness to learn, Ability to work independently as well as part of a team, Great attention to detail, Good communication skills Get ready to redefine what's possible and discover your extraordinary potential at Covance. Here, you'll have the opportunity to personally advance healthcare and make a difference in peoples' lives with your bold ideas and unique point of view. With the support of exceptional people from across the globe and an energized purpose, you'll be empowered to own your career journey with mentoring, training and personalized development planning. Join us as we speed the delivery of ground breaking therapies and anticipate tomorrow's drug development challenges, creating new possibilities for our clients and your career. Start date: July 2020. Closing date for applications: 22 nd November 2019. Assessment centres to be held: 2 nd – 3 rd December 2019. To Apply go to: www.careers.covance.com/ Education/Qualifications: Working towards bachelor’s degree in Life Sciences, Chemistry, Nursing, Data Science or related field Experience: Has experience delivering multiple projects in an academic or professional setting to set deadlines Ability to collaborate with various stakeholders and internal/external colleagues Embraces diverse ways of thinking through various forms collaboration and partnership
If this position receives high volumes of applications we reserve the right to close this advert earlier than stated, so please apply early to avoid disappointment.
Since our launch back in 1982 we have taken the sports retail world by storm. With over 500 stores in the UK and with stores in over 19 European countries as well as a full multi-channel retail website - we are still growing. At SPORTSDIRECT.com we pride ourselves on progression and development of our staff and many of our staff at Head Office have joined us from other areas of the business and have been here for a number of years. In the current retail world that's quite unique and we invite you to be a part of it. We are currently searching for a Junior Business Analyst to join our team in London Head Office. You will be part of a dynamic team working at the hub of the business supporting high-level strategic decision making. In addition to supporting Flannels, USC and House Of Fraser from London, on occasion you may be required to travel to our office in Shirebrook to meet with and provide analysis for other businesses in the Sports Direct Group such as Sports Direct itself.
Key Aspects of the Role: .Data analysis .Business partnering .Support and develop forecasting processes .Provide informative analysis and insight into commercial systems .Provide analytical support on range planning .Proactively identify trends in data and make recommendations on operational improvements .Understand the commercial systems and be able to recommend changes to continuously improve the systems for the benefit of the operational employees and analytics .Support infrastructure and controls .Business Intelligence.
Essential Skills / Experience: .Degree level education in a finance, mathematics, computer science or analytical subject .Strong problem-solving ability .Ability to communicate with wide range of stakeholders with various levels of technical understanding .Ability to demonstrate exceptional numerical and analytical skills with outstanding attention to detail .Ability to analyse large and complex datasets .Microsoft Excel skills are desirable .SQL skills are desirable .VBA and any other programming knowledge desirable .Business Intelligence experience is desirable (Power BI, Tableau, Looker etc.)
13/11/2019
Full time
If this position receives high volumes of applications we reserve the right to close this advert earlier than stated, so please apply early to avoid disappointment.
Since our launch back in 1982 we have taken the sports retail world by storm. With over 500 stores in the UK and with stores in over 19 European countries as well as a full multi-channel retail website - we are still growing. At SPORTSDIRECT.com we pride ourselves on progression and development of our staff and many of our staff at Head Office have joined us from other areas of the business and have been here for a number of years. In the current retail world that's quite unique and we invite you to be a part of it. We are currently searching for a Junior Business Analyst to join our team in London Head Office. You will be part of a dynamic team working at the hub of the business supporting high-level strategic decision making. In addition to supporting Flannels, USC and House Of Fraser from London, on occasion you may be required to travel to our office in Shirebrook to meet with and provide analysis for other businesses in the Sports Direct Group such as Sports Direct itself.
Key Aspects of the Role: .Data analysis .Business partnering .Support and develop forecasting processes .Provide informative analysis and insight into commercial systems .Provide analytical support on range planning .Proactively identify trends in data and make recommendations on operational improvements .Understand the commercial systems and be able to recommend changes to continuously improve the systems for the benefit of the operational employees and analytics .Support infrastructure and controls .Business Intelligence.
Essential Skills / Experience: .Degree level education in a finance, mathematics, computer science or analytical subject .Strong problem-solving ability .Ability to communicate with wide range of stakeholders with various levels of technical understanding .Ability to demonstrate exceptional numerical and analytical skills with outstanding attention to detail .Ability to analyse large and complex datasets .Microsoft Excel skills are desirable .SQL skills are desirable .VBA and any other programming knowledge desirable .Business Intelligence experience is desirable (Power BI, Tableau, Looker etc.)
Agency :
Havas Media
Job Description Summary :
Our Data Science team are at the forefront of driving our vision of a data-centric agency, developing our offering and providing analytical solutions which help our clients understand their customers. We are responsible for: building solutions to prove media effectiveness across a core set of KPIs, aiding strategists and planners in the setting and phasing of media budgets, optimising media plans, developing income generating opportunities and helping clients to solve business problems using data.
Job Description :
Junior Data Scientist
Reporting To: Data Science Director
Office Location: HKX Building, 3 Pancras Square, Kings Cross
About Us
We are Havas UK. Our mission is to create meaningful connections between people and brands to drive business success with one vision, one voice and one P&L. Havas is the only truly integrated marketing and communications company in the UK.
A multi-disciplinary offering, all united under one leadership, all in one building. Advertising, media, data and technology, digital, social, mobile, CRM, UX, sports and entertainment, public relations, corporate communications, healthcare, design, research, employer branding and recruitment.
We build teams around clients’ needs, not our agenda. Collaborating for our clients and with our clients, to get to better. This is a more streamlined, faster, more effective and more cost-efficient way to make a meaningful difference to our clients’ business and the lives of the people we work with.
The Data Science Team
Our Data Science team are at the forefront of driving our vision of a data-centric agency, developing our offering and providing analytical solutions which help our clients understand their customers. We are responsible for: building solutions to prove media effectiveness across a core set of KPIs, aiding strategists and planners in the setting and phasing of media budgets, optimising media plans, developing income generating opportunities and helping clients to solve business problems using data. In addition to building econometric models, we are continually looking for new and innovative ways to measure effectiveness and are developing new products in a range of areas to support the business. We are also further developing our expertise in customer data analytics and the use of unstructured data to generate insights that feed the agency planning process. We plan to continue to grow the team over the next 12 months to ensure that we're equipped to thrive in an environment with access to ever greater types and quantities of data which requires our expertise to turn it into actionable insight. We pride ourselves in our impressive track record of being able to interpret and communicate complex findings in an intuitive and informative way, maximising the benefit to our clients. The quality of our work is well recognised externally - we won a Media Week Gold in 2015 and 2017 for "Best use of econometrics" for our work on Westfield and Domino's and we have made major contributions to IPA Effectiveness Award winning papers in recent years.
The Role
As a Data Scientist you will help us discover the insights hidden in huge amounts of our own, our clients, and 3rd party datasets with the objective of making their marketing and advertising activity more effective and efficient.
You will take questions from both internal and external clients and turn these into problems that can be solved through analytics. Supported by our wider data team, you’ll be involved throughout data science projects – initially identifying the data required; enriching it by connecting it other data sources; processing and cleaning the data. You will then apply a broad range of analytical techniques to answer these questions and you’ll build models that predict outcomes and communicate these back to stakeholders with passion and clarity. Although you will have an existing area of technical expertise – this might be machine learning or statistics –you’ll be open-minded to other methodologies and comfortable recommending the appropriate solution.
You will play a key role in Data Science product development, including taking responsibility for developing new techniques and products and promoting these internally and to our clients.
Responsibilities include:
You will be a go-to person for data science questions
Working with the data team to develop end-to-end solutions to client challenges
Maintaining and developing our analytics solution in R Shiny
You will help to develop new products to improve agency workflows or bring in new revenue streams
Who we’re looking for:
Technical skills
Demonstrable capability coding in R or Python
Advanced knowledge of applied statistics and machine learning techniques
Broad knowledge of Data Science applications
Comfortable handing large datasets (e.g. SQL/Hadoop/Spark/Other) or learning to do so
Undergraduate or higher degree in a numerate subject (or equivalent experience)
Experience with data visualisation tools (e.g. Tableau/D3/Shiny/Plotly) is a plus
Media experience is a plus
Personal skills
You love coding and think analytically
You love to solve problems - bringing an enthusiasm to match together our clients’ challenges with data science techniques
You show continuous enthusiasm to learn – both new techniques and ways of working
You’re a curious, creative problem solver, applying critical thinking at every stage of a project
You’re highly self-motivated, but are happy working as part of a team
You have exceptional communication skills with an ability to tell data stories to stakeholders
You participate in Hackathons or solve other data questions (desirable)
You are interested in the latest trends in Data Science and technology (desirable)
You are interested in business, marketing and advertising
Skills :
Contract Type :
Permanent
Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.
Due to high volume of applications, only eligible or matching candidates will be contacted by us
13/11/2019
Full time
Agency :
Havas Media
Job Description Summary :
Our Data Science team are at the forefront of driving our vision of a data-centric agency, developing our offering and providing analytical solutions which help our clients understand their customers. We are responsible for: building solutions to prove media effectiveness across a core set of KPIs, aiding strategists and planners in the setting and phasing of media budgets, optimising media plans, developing income generating opportunities and helping clients to solve business problems using data.
Job Description :
Junior Data Scientist
Reporting To: Data Science Director
Office Location: HKX Building, 3 Pancras Square, Kings Cross
About Us
We are Havas UK. Our mission is to create meaningful connections between people and brands to drive business success with one vision, one voice and one P&L. Havas is the only truly integrated marketing and communications company in the UK.
A multi-disciplinary offering, all united under one leadership, all in one building. Advertising, media, data and technology, digital, social, mobile, CRM, UX, sports and entertainment, public relations, corporate communications, healthcare, design, research, employer branding and recruitment.
We build teams around clients’ needs, not our agenda. Collaborating for our clients and with our clients, to get to better. This is a more streamlined, faster, more effective and more cost-efficient way to make a meaningful difference to our clients’ business and the lives of the people we work with.
The Data Science Team
Our Data Science team are at the forefront of driving our vision of a data-centric agency, developing our offering and providing analytical solutions which help our clients understand their customers. We are responsible for: building solutions to prove media effectiveness across a core set of KPIs, aiding strategists and planners in the setting and phasing of media budgets, optimising media plans, developing income generating opportunities and helping clients to solve business problems using data. In addition to building econometric models, we are continually looking for new and innovative ways to measure effectiveness and are developing new products in a range of areas to support the business. We are also further developing our expertise in customer data analytics and the use of unstructured data to generate insights that feed the agency planning process. We plan to continue to grow the team over the next 12 months to ensure that we're equipped to thrive in an environment with access to ever greater types and quantities of data which requires our expertise to turn it into actionable insight. We pride ourselves in our impressive track record of being able to interpret and communicate complex findings in an intuitive and informative way, maximising the benefit to our clients. The quality of our work is well recognised externally - we won a Media Week Gold in 2015 and 2017 for "Best use of econometrics" for our work on Westfield and Domino's and we have made major contributions to IPA Effectiveness Award winning papers in recent years.
The Role
As a Data Scientist you will help us discover the insights hidden in huge amounts of our own, our clients, and 3rd party datasets with the objective of making their marketing and advertising activity more effective and efficient.
You will take questions from both internal and external clients and turn these into problems that can be solved through analytics. Supported by our wider data team, you’ll be involved throughout data science projects – initially identifying the data required; enriching it by connecting it other data sources; processing and cleaning the data. You will then apply a broad range of analytical techniques to answer these questions and you’ll build models that predict outcomes and communicate these back to stakeholders with passion and clarity. Although you will have an existing area of technical expertise – this might be machine learning or statistics –you’ll be open-minded to other methodologies and comfortable recommending the appropriate solution.
You will play a key role in Data Science product development, including taking responsibility for developing new techniques and products and promoting these internally and to our clients.
Responsibilities include:
You will be a go-to person for data science questions
Working with the data team to develop end-to-end solutions to client challenges
Maintaining and developing our analytics solution in R Shiny
You will help to develop new products to improve agency workflows or bring in new revenue streams
Who we’re looking for:
Technical skills
Demonstrable capability coding in R or Python
Advanced knowledge of applied statistics and machine learning techniques
Broad knowledge of Data Science applications
Comfortable handing large datasets (e.g. SQL/Hadoop/Spark/Other) or learning to do so
Undergraduate or higher degree in a numerate subject (or equivalent experience)
Experience with data visualisation tools (e.g. Tableau/D3/Shiny/Plotly) is a plus
Media experience is a plus
Personal skills
You love coding and think analytically
You love to solve problems - bringing an enthusiasm to match together our clients’ challenges with data science techniques
You show continuous enthusiasm to learn – both new techniques and ways of working
You’re a curious, creative problem solver, applying critical thinking at every stage of a project
You’re highly self-motivated, but are happy working as part of a team
You have exceptional communication skills with an ability to tell data stories to stakeholders
You participate in Hackathons or solve other data questions (desirable)
You are interested in the latest trends in Data Science and technology (desirable)
You are interested in business, marketing and advertising
Skills :
Contract Type :
Permanent
Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.
Due to high volume of applications, only eligible or matching candidates will be contacted by us
Description
There is no better time to move to Soldo! After recent funding, we will be doubling our size in the next 5 months which means we have some fantastic opportunities for those intrigued by the FinTech industry. We are looking to develop our technology team in London, to complement an established Italian team.
What are we looking for?
An ideal candidate will be able to use insights from analysing computer data to support our product, sales, finance, risk, leadership and marketing teams. You must be adept at using large data sets to find opportunities for product and process optimisation, as well as using models to test the effectiveness of different courses of action. Strong first-hand experience of data mining, data analysis, data tools, creating algorithms and running simulations is greatly desired. Using your passion for discovering solutions hidden in large data sets, you must be able to collaborate with key stakeholders to improve business outcomes
13/11/2019
Full time
Description
There is no better time to move to Soldo! After recent funding, we will be doubling our size in the next 5 months which means we have some fantastic opportunities for those intrigued by the FinTech industry. We are looking to develop our technology team in London, to complement an established Italian team.
What are we looking for?
An ideal candidate will be able to use insights from analysing computer data to support our product, sales, finance, risk, leadership and marketing teams. You must be adept at using large data sets to find opportunities for product and process optimisation, as well as using models to test the effectiveness of different courses of action. Strong first-hand experience of data mining, data analysis, data tools, creating algorithms and running simulations is greatly desired. Using your passion for discovering solutions hidden in large data sets, you must be able to collaborate with key stakeholders to improve business outcomes
We are looking to build a team of Data Entry Specialists s to build on our rapid growth and help us redefine the future of the mortgage industry. The main objective of this team is to successfully key in mortgage decision in principles and mortgage applications efficiently and accurately before handing over to the case management team. We’d like to make sure that this role has scope for growth and development. Data entry specialists can expect to have the opportunity to join the case management team overtime. We are growing quickly and this job gives you the chance to join at an entry level position, gain valuable experience and progress within Trussle.
Who are we looking for?
You’ll have proven Data Entry Experience
Be highly skilled in accuracy, speed, attention to detail, comprehension
Have a team-centric attitude
Excellent communication skills (verbal and written)Tech Savvy ( As the role will require to use different lender portals)Excellent time management skills
Customer Focused
Experience working in a high paced data entry environment You will have a professional personal communication manner, both written and verbal
You’ll be flexible and happy to work shifts to maintain an excellent customer service involving occasional evening and weekend shifts
If you had 3-6 months Mortgage Administration Experience that would be amazing
11/11/2019
Full time
We are looking to build a team of Data Entry Specialists s to build on our rapid growth and help us redefine the future of the mortgage industry. The main objective of this team is to successfully key in mortgage decision in principles and mortgage applications efficiently and accurately before handing over to the case management team. We’d like to make sure that this role has scope for growth and development. Data entry specialists can expect to have the opportunity to join the case management team overtime. We are growing quickly and this job gives you the chance to join at an entry level position, gain valuable experience and progress within Trussle.
Who are we looking for?
You’ll have proven Data Entry Experience
Be highly skilled in accuracy, speed, attention to detail, comprehension
Have a team-centric attitude
Excellent communication skills (verbal and written)Tech Savvy ( As the role will require to use different lender portals)Excellent time management skills
Customer Focused
Experience working in a high paced data entry environment You will have a professional personal communication manner, both written and verbal
You’ll be flexible and happy to work shifts to maintain an excellent customer service involving occasional evening and weekend shifts
If you had 3-6 months Mortgage Administration Experience that would be amazing
The Job - Junior Investment Management Product Specialist – Quantamental Consultant
The location – London
The grade – G9 (internal use only)
General Description:
The Junior IM Quantamental Consultant will be expected to identify, analyze, and propose solutions specific to the quantamental capabilities offered by S&P Global Market Intelligence. Each Quantamental Consultant becomes a knowledge expert in the CIQ Desktop, Portfolio Analytics, Alpha Factor Library and the ClariFI Platform, and in the other quantitative/”quantamental” products offered through Market Intelligence.
Using this knowledge the consultant will consult & train our Investment Management Clients. These clients will consist of Asset Managers, Pension Funds, and Hedge Funds etc. This role drives revenue growth and client retention by working with Sales, Relationship Management, Product Management, and Product Operations to promote and identify Market Intelligence’s quantitative solutions to the Investment Management segment.
Specific Responsibilities:
The Junior IM Quantamental Consultant is a client-facing representative for S&P Global Market Intelligence. Their responsibilities include:
SALES PROCESS INVOLVEMENT
Possess a firm understanding of the diagnostic sales process and employ its principles and techniques when engaging with a prospect or client. Understand the commercial pricing model and the client’s use of platforms and data to inform pricing.
Advise users on financial modeling, numerical analysis, and process efficiencies. Responsible for all quantitative engineering, account management and pre-sales activity for clients of our institutional products and services, particularly the ClariFI Platform, and the quantitative/”quantamental” products offered by S&P Global Market Intelligence.
Assist the trial process with a thorough understanding of the client’s workflow, and how Market Intelligence’s content, feed and platform solutions (including PA, ALF, Feeds and ClariFI and various enterprise delivery platforms) may enhance that workflow.
Conduct product demos as needed and help to design the best solution to fit a prospect’s or client’s needs.
Act as a product specialist for the PA, AFL, Feed and ClariFI Platforms by understanding the application of these products for complex investment management workflows, conducting training, troubleshooting problems, answering product questions, and providing complex daily product support to a client base of equity research analysts, portfolio managers, and Risk Management professionals.
Develop a complete understanding of competitors’ products and be able to articulate Market Intelligence’s relative capabilities.
Facilitate a positive experience for the client by bringing together the appropriate resources within Market Intelligence and the client’s organization.
THOUGHT LEADERSHIP
Act as a regional IM market feedback consolidation source for regional product, content, and delivery enhancements. Work closely with Product Management to provide feedback and rank enhancement requests.
Provide product training to Sales, and document technical client interactions in Salesforce to share with the broader organization.
Learn and understand new datasets as they are deployed through the Xpressfeed loader, ClariFI, or other mechanism, and communicate the advantages of these datasets effectively to clients and prospects.
Typical Background/Qualifications:
As this is a junior / entry level position backgrounds vary among IM Quantamental Consultants, but a mixture of Finance and Technical skills are necessary. Market data specialists from the buy-side, technical and content experts at other market data vendors, and equity Research Analysts are actively being sought for this role.
Qualifications included in a job posting would be similar to this:
Thorough understanding of the equity investment process (with a focus on quantitative/quantamental security analysis)
Degree in a numerate discipline such as Finance, Accounting, Economics, or equivalent experience is required. CFA Charter holder/candidate or Masters in Financial Engineering (or related discipline) is a plus.
A strong understanding of fundamental data is necessary.
Experience of various scripting languages (Python, R, Matlab, etc) is a plus but not necessary.
Familiarity with industry-leading financial data and delivery platforms. Knowledge of Compustat or Capital IQ products (data, software, or feeds) is a plus.
Excellent communication, training and presentation skills
11/11/2019
Full time
The Job - Junior Investment Management Product Specialist – Quantamental Consultant
The location – London
The grade – G9 (internal use only)
General Description:
The Junior IM Quantamental Consultant will be expected to identify, analyze, and propose solutions specific to the quantamental capabilities offered by S&P Global Market Intelligence. Each Quantamental Consultant becomes a knowledge expert in the CIQ Desktop, Portfolio Analytics, Alpha Factor Library and the ClariFI Platform, and in the other quantitative/”quantamental” products offered through Market Intelligence.
Using this knowledge the consultant will consult & train our Investment Management Clients. These clients will consist of Asset Managers, Pension Funds, and Hedge Funds etc. This role drives revenue growth and client retention by working with Sales, Relationship Management, Product Management, and Product Operations to promote and identify Market Intelligence’s quantitative solutions to the Investment Management segment.
Specific Responsibilities:
The Junior IM Quantamental Consultant is a client-facing representative for S&P Global Market Intelligence. Their responsibilities include:
SALES PROCESS INVOLVEMENT
Possess a firm understanding of the diagnostic sales process and employ its principles and techniques when engaging with a prospect or client. Understand the commercial pricing model and the client’s use of platforms and data to inform pricing.
Advise users on financial modeling, numerical analysis, and process efficiencies. Responsible for all quantitative engineering, account management and pre-sales activity for clients of our institutional products and services, particularly the ClariFI Platform, and the quantitative/”quantamental” products offered by S&P Global Market Intelligence.
Assist the trial process with a thorough understanding of the client’s workflow, and how Market Intelligence’s content, feed and platform solutions (including PA, ALF, Feeds and ClariFI and various enterprise delivery platforms) may enhance that workflow.
Conduct product demos as needed and help to design the best solution to fit a prospect’s or client’s needs.
Act as a product specialist for the PA, AFL, Feed and ClariFI Platforms by understanding the application of these products for complex investment management workflows, conducting training, troubleshooting problems, answering product questions, and providing complex daily product support to a client base of equity research analysts, portfolio managers, and Risk Management professionals.
Develop a complete understanding of competitors’ products and be able to articulate Market Intelligence’s relative capabilities.
Facilitate a positive experience for the client by bringing together the appropriate resources within Market Intelligence and the client’s organization.
THOUGHT LEADERSHIP
Act as a regional IM market feedback consolidation source for regional product, content, and delivery enhancements. Work closely with Product Management to provide feedback and rank enhancement requests.
Provide product training to Sales, and document technical client interactions in Salesforce to share with the broader organization.
Learn and understand new datasets as they are deployed through the Xpressfeed loader, ClariFI, or other mechanism, and communicate the advantages of these datasets effectively to clients and prospects.
Typical Background/Qualifications:
As this is a junior / entry level position backgrounds vary among IM Quantamental Consultants, but a mixture of Finance and Technical skills are necessary. Market data specialists from the buy-side, technical and content experts at other market data vendors, and equity Research Analysts are actively being sought for this role.
Qualifications included in a job posting would be similar to this:
Thorough understanding of the equity investment process (with a focus on quantitative/quantamental security analysis)
Degree in a numerate discipline such as Finance, Accounting, Economics, or equivalent experience is required. CFA Charter holder/candidate or Masters in Financial Engineering (or related discipline) is a plus.
A strong understanding of fundamental data is necessary.
Experience of various scripting languages (Python, R, Matlab, etc) is a plus but not necessary.
Familiarity with industry-leading financial data and delivery platforms. Knowledge of Compustat or Capital IQ products (data, software, or feeds) is a plus.
Excellent communication, training and presentation skills
