Job Introduction
Our Data analytics team is looking for a new CRM Campaign Analyst. If you love everything CRM and Data, this role might be for you!
This role is crucial in helping the CRM teams develop our understanding of audience interactions and evolve a relatively embryonic multi-channel personalised lifecycle program into a brilliant driver of relevance and loyalty.
By supporting the optimisation of CRM campaign effectiveness this role will ultimately allow the CRM Team to drive increased audience value, tell better stories and prove business impact.
Role Responsibility
Embedded within the CRM Team, you will:
Act as the single point of contact for all CRM campaign analysis
Work with CRM managers to define a clear set of KPIs for each CRM initiative and the continuous measurement against them
Take full ownership for the delivery of CRM's tableau dashboards and other evaluation tool sets to enable regular, robust and consistent departmental campaign effectiveness reporting
Use data insight and post activity evaluations to inform decisions that continuously improve contact selection, channel mix, content curation, next best action, journey mapping and post campaign analysis
Review/refine existing and identify/execute new audience profiles and segmentations designed to improve activation, retention and re-engagement
Identify and communicate key value drivers and use actionable insights and recommendations to participate fully in all strategic, tactical and campaign planning CRM Team meetings
Are you the right candidate?
Understanding and experience in using data for CRM or digital media targeting
Strong R/ SQL skills and experienced Tableau user
Able to simplify complex problems into component parts and deal with them systematically.
Able to devise and develop ideas and stimulate creativity in others.
Knowledge of media, data, measurement methodologies and industry standards including online and offline channels.
Good written and verbal communication skills.
Experience developing relationships and presenting results to senior stakeholders.
Strong understanding of how the digital and media landscape is evolving and the implications for all parts of the BBC.
Self-starter by nature who also works well in a complex matrix organisation.
If this sound like you, even if you don't tick all the boxes, we would love to hear from you!
Package Description
Grade 7 - Band C
About the BBC
Diversity matters at the BBC. We want to attract the broadest range of talented people to be part of the BBC – whether that’s to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences.
We are committed to equality of opportunity and welcome applications from all individuals. And we promote flexible working opportunities where operational needs allow.
To find out more about Diversity and Inclusion at the BBC, please click here
BBC
15/01/2019
Full time
Job Introduction
Our Data analytics team is looking for a new CRM Campaign Analyst. If you love everything CRM and Data, this role might be for you!
This role is crucial in helping the CRM teams develop our understanding of audience interactions and evolve a relatively embryonic multi-channel personalised lifecycle program into a brilliant driver of relevance and loyalty.
By supporting the optimisation of CRM campaign effectiveness this role will ultimately allow the CRM Team to drive increased audience value, tell better stories and prove business impact.
Role Responsibility
Embedded within the CRM Team, you will:
Act as the single point of contact for all CRM campaign analysis
Work with CRM managers to define a clear set of KPIs for each CRM initiative and the continuous measurement against them
Take full ownership for the delivery of CRM's tableau dashboards and other evaluation tool sets to enable regular, robust and consistent departmental campaign effectiveness reporting
Use data insight and post activity evaluations to inform decisions that continuously improve contact selection, channel mix, content curation, next best action, journey mapping and post campaign analysis
Review/refine existing and identify/execute new audience profiles and segmentations designed to improve activation, retention and re-engagement
Identify and communicate key value drivers and use actionable insights and recommendations to participate fully in all strategic, tactical and campaign planning CRM Team meetings
Are you the right candidate?
Understanding and experience in using data for CRM or digital media targeting
Strong R/ SQL skills and experienced Tableau user
Able to simplify complex problems into component parts and deal with them systematically.
Able to devise and develop ideas and stimulate creativity in others.
Knowledge of media, data, measurement methodologies and industry standards including online and offline channels.
Good written and verbal communication skills.
Experience developing relationships and presenting results to senior stakeholders.
Strong understanding of how the digital and media landscape is evolving and the implications for all parts of the BBC.
Self-starter by nature who also works well in a complex matrix organisation.
If this sound like you, even if you don't tick all the boxes, we would love to hear from you!
Package Description
Grade 7 - Band C
About the BBC
Diversity matters at the BBC. We want to attract the broadest range of talented people to be part of the BBC – whether that’s to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences.
We are committed to equality of opportunity and welcome applications from all individuals. And we promote flexible working opportunities where operational needs allow.
To find out more about Diversity and Inclusion at the BBC, please click here
BBC
Work directly on a successful app with over 100 million users at the core of the product, joining a successful data team.
You will be working on delivering a new self-service data platform, that will be built with Scala, Spark, Python, CI/CD and Infrastructure as code, alongside an experienced technical team.
You are a data engineer with experience working on large scale projects in real-time stream processing of data. Your experience is solid in Spark and Scala or Python (both would be great!) with a heavy TDD approach to your code. You will also work heavily with cloud technologies and distributed systems
Ideally, you are someone who has solid experience in systems and software design as you will be building and designing datasets from scratch within a highly scalable environment. advancing the existing data infrastructure.
You will work with the following technologies, however, you don't need experience in all;
Scala
Spark
Python
AWS
Lambda
Kinesis
Hive
Jenkins
Packer
Docker
Kubernetes
With the technologies above, you will be crucial to the significant impact on the success and reliability of the product joining an exciting team within a growing business.
You will be joining a team of continuous learners and will always face new challenges within this team. We're looking for you to bring on your expertise, whilst also taking each day as a new learning opportunity.
As well as working within an ever-growing industry where technology is key, you will work in a social, modern environment centred around ownership and trust.
16/01/2019
Full time
Work directly on a successful app with over 100 million users at the core of the product, joining a successful data team.
You will be working on delivering a new self-service data platform, that will be built with Scala, Spark, Python, CI/CD and Infrastructure as code, alongside an experienced technical team.
You are a data engineer with experience working on large scale projects in real-time stream processing of data. Your experience is solid in Spark and Scala or Python (both would be great!) with a heavy TDD approach to your code. You will also work heavily with cloud technologies and distributed systems
Ideally, you are someone who has solid experience in systems and software design as you will be building and designing datasets from scratch within a highly scalable environment. advancing the existing data infrastructure.
You will work with the following technologies, however, you don't need experience in all;
Scala
Spark
Python
AWS
Lambda
Kinesis
Hive
Jenkins
Packer
Docker
Kubernetes
With the technologies above, you will be crucial to the significant impact on the success and reliability of the product joining an exciting team within a growing business.
You will be joining a team of continuous learners and will always face new challenges within this team. We're looking for you to bring on your expertise, whilst also taking each day as a new learning opportunity.
As well as working within an ever-growing industry where technology is key, you will work in a social, modern environment centred around ownership and trust.
Digitech Resourcing
EC4 Osteopath, Queen Victoria Street, London, UK
As the Big Data Engineer you'll join a young, dynamic Machine Learning Tech start-up, which specialises in developing big–data analytics and artificial-intelligence algorithms based on behavioural-finance analysis. As the Big Data Engineer you'll prepare the big data infrastructure to be analysed by Data Scientists. You'll need to be comfortable working with Java (and/or Python) in order to design, build, integrate data from various resources and manage big data. In addition you should also be able to write complex queries, making sure it is easily accessible, works smoothly and your goal is to optimise the performance of their big data ecosystem. You will also run some ETL (Extract, Transform and Load) on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists. Must be proficient in Google Cloud Platform or AWS Big Data Engineer technologies:
Java or Python
GCP/AWS
Hadoop
MapReduce
SQL
Experience with Data Streaming
If you're a Big Data Engineer who's keen to find out more, please apply now!
Contact: Luke Hunt
15/01/2019
Full time
As the Big Data Engineer you'll join a young, dynamic Machine Learning Tech start-up, which specialises in developing big–data analytics and artificial-intelligence algorithms based on behavioural-finance analysis. As the Big Data Engineer you'll prepare the big data infrastructure to be analysed by Data Scientists. You'll need to be comfortable working with Java (and/or Python) in order to design, build, integrate data from various resources and manage big data. In addition you should also be able to write complex queries, making sure it is easily accessible, works smoothly and your goal is to optimise the performance of their big data ecosystem. You will also run some ETL (Extract, Transform and Load) on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists. Must be proficient in Google Cloud Platform or AWS Big Data Engineer technologies:
Java or Python
GCP/AWS
Hadoop
MapReduce
SQL
Experience with Data Streaming
If you're a Big Data Engineer who's keen to find out more, please apply now!
Contact: Luke Hunt
IHS Markit is currently investing in their technology and data platform to develop a number of new revenue generating products, leveraging open source and big data technologies. These include new data integration, advanced analytics, visualisation, aggregation and smart data initiatives that address new customer needs and are highly visible and strategic within the organisation.
These initiatives are using best of breed technologies, such as Hadoop, Spark, HDFS, Kafka, SOLR, Cassandra and AWS along with in-house developed technologies, and the successful candidate will be working in a fast paced, dynamic team environment, building commercial products which are at the heart of the business.
Duties and Accountabilities
Design and implement “Big Data” infrastructure for batch and real-time analytics.
Ensure highly interactive response times. Avoid allowing performance bottlenecks to creep into the system.
Interpret and analyse business use-cases and feature requests into technical designs and development tasks.
Be an active player in system architecture and design discussions.
Take ownership of development tasks, participate in regular design and code review meetings.
Be proud of the high quality of your own work.
Work with a number of teams (in multiple worldwide locations).
Always follow quality standards (unit tests, integration tests and documented code).
Be delivery focused, have a passion for technology and will enjoy offering new ideas and approaches.
Education and Expertise
Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or a related discipline, or equivalent experience.
Computer Science and Software Engineering : Strong software development experience: Ability to build production software in Scala or Python
Distributed file systems/databases/systems
Be able to demonstrate commercial experience on big data/advanced analytics projects
Linux/Unix.
Knowledge of algorithms, data structures, computational complexity.
Functional programming
Git
Hadoop, HDFS, YARN, Spark, Hive, NoSQL databases, SOLR, Kafka, Druid
AWS: EC2, EMR, S3
Akka
SQL
Skills and Experience Required
You can effectively provide technical direction, and estimates to fulfill a set of requirements.
You can effectively manage timelines and cross team coordination.
You can follow relevant technology trends, actively evaluate new technologies, and use this information to improve the product
You get a lot of satisfaction from on-time delivery.
Happy clients are really important to you
You take pride in your work.
It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below).
EEO is the Law EEO is the Law Supplement Right to Work Pay Transparency Policy E-Verify
Current Colleagues
If you are currently a colleague with IHS Markit please apply internally via Workday.
12/01/2019
Full time
IHS Markit is currently investing in their technology and data platform to develop a number of new revenue generating products, leveraging open source and big data technologies. These include new data integration, advanced analytics, visualisation, aggregation and smart data initiatives that address new customer needs and are highly visible and strategic within the organisation.
These initiatives are using best of breed technologies, such as Hadoop, Spark, HDFS, Kafka, SOLR, Cassandra and AWS along with in-house developed technologies, and the successful candidate will be working in a fast paced, dynamic team environment, building commercial products which are at the heart of the business.
Duties and Accountabilities
Design and implement “Big Data” infrastructure for batch and real-time analytics.
Ensure highly interactive response times. Avoid allowing performance bottlenecks to creep into the system.
Interpret and analyse business use-cases and feature requests into technical designs and development tasks.
Be an active player in system architecture and design discussions.
Take ownership of development tasks, participate in regular design and code review meetings.
Be proud of the high quality of your own work.
Work with a number of teams (in multiple worldwide locations).
Always follow quality standards (unit tests, integration tests and documented code).
Be delivery focused, have a passion for technology and will enjoy offering new ideas and approaches.
Education and Expertise
Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or a related discipline, or equivalent experience.
Computer Science and Software Engineering : Strong software development experience: Ability to build production software in Scala or Python
Distributed file systems/databases/systems
Be able to demonstrate commercial experience on big data/advanced analytics projects
Linux/Unix.
Knowledge of algorithms, data structures, computational complexity.
Functional programming
Git
Hadoop, HDFS, YARN, Spark, Hive, NoSQL databases, SOLR, Kafka, Druid
AWS: EC2, EMR, S3
Akka
SQL
Skills and Experience Required
You can effectively provide technical direction, and estimates to fulfill a set of requirements.
You can effectively manage timelines and cross team coordination.
You can follow relevant technology trends, actively evaluate new technologies, and use this information to improve the product
You get a lot of satisfaction from on-time delivery.
Happy clients are really important to you
You take pride in your work.
It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below).
EEO is the Law EEO is the Law Supplement Right to Work Pay Transparency Policy E-Verify
Current Colleagues
If you are currently a colleague with IHS Markit please apply internally via Workday.
What’s in it for you: As a Senior Technical Software Engineer within the Fixed Income program, your role will be instrumental in driving the design and delivery of our portfolio of products, in collaboration with our Strategy and Design teams. Your role lives within our delivery organization, to make sure the commercial vision for our solutions is realized and executed flawlessly. You will report directly to the Director of Fixed Income Development and work in a dynamic, entrepreneurial environment where you will help shape the future of our technology and solutions. You will play a leadership role in key initiatives and collaborate extensively with the stakeholders, product architects, multiple scrum teams and program managers to achieve our ambitious goals.
What you’ll work on:
Collaborate with design and strategy teams on high level technical approaches for major new initiatives. Extend those designs into concrete architectural decisions that the scrum team will deliver on. Reinforce the Agile team design as you work with them to iterate and validate your design with the team and be vigilant that the goals of the project are going to be realized. Inspect the entire SDLC to make sure that we are creating testable, tested, high quality designs that will be efficient long into the future with minimal overhead. Work with our Test, Dev Ops and Tech Ops teams to ensure that the whole technology factory is working seamlessly and producing world class artifacts. Identify opportunities for improvement and re-use in existing product designs. Foster the creation of reusable patterns, components and services. Mentor and coach the organization in technical skills and best practices. Provide technology thought-leadership in technical communities. Identify opportunities for product architectural improvements designed to increase quality, performance, security, maintainability, resilience and manageability. Use industry knowledge to ensure architectural recommendations are in line with industry best-practices.
What we look for:
8+ years of experience in Software Development required Experience working with Agile Development Experience with Java, J2EE, JBoss, Oracle Experience with Service-Oriented Architecture including Web Services, REST, Enterprise Service Bus, MicroServices Experience with Modern Messaging frameworks and Caching frameworks Experience with Modern Web Development frameworks and technologies including: HTML5, JavaScript, AJAX, Angular, React, Knockout, Single-Page Applications Experience with AWS Cloud platform and container based deployment A strong orientation to the UX of our clients and the commercial value we deliver to them Financial Services Sector experience an advantage but not required Excellent collaboration skills and emotional intelligence A demanding, positive and happy personality
It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below).
EEO is the Law EEO is the Law Supplement Right to Work Pay Transparency Policy E-Verify
Current Colleagues
If you are currently a colleague with IHS Markit please apply internally via Workday.
12/01/2019
Full time
What’s in it for you: As a Senior Technical Software Engineer within the Fixed Income program, your role will be instrumental in driving the design and delivery of our portfolio of products, in collaboration with our Strategy and Design teams. Your role lives within our delivery organization, to make sure the commercial vision for our solutions is realized and executed flawlessly. You will report directly to the Director of Fixed Income Development and work in a dynamic, entrepreneurial environment where you will help shape the future of our technology and solutions. You will play a leadership role in key initiatives and collaborate extensively with the stakeholders, product architects, multiple scrum teams and program managers to achieve our ambitious goals.
What you’ll work on:
Collaborate with design and strategy teams on high level technical approaches for major new initiatives. Extend those designs into concrete architectural decisions that the scrum team will deliver on. Reinforce the Agile team design as you work with them to iterate and validate your design with the team and be vigilant that the goals of the project are going to be realized. Inspect the entire SDLC to make sure that we are creating testable, tested, high quality designs that will be efficient long into the future with minimal overhead. Work with our Test, Dev Ops and Tech Ops teams to ensure that the whole technology factory is working seamlessly and producing world class artifacts. Identify opportunities for improvement and re-use in existing product designs. Foster the creation of reusable patterns, components and services. Mentor and coach the organization in technical skills and best practices. Provide technology thought-leadership in technical communities. Identify opportunities for product architectural improvements designed to increase quality, performance, security, maintainability, resilience and manageability. Use industry knowledge to ensure architectural recommendations are in line with industry best-practices.
What we look for:
8+ years of experience in Software Development required Experience working with Agile Development Experience with Java, J2EE, JBoss, Oracle Experience with Service-Oriented Architecture including Web Services, REST, Enterprise Service Bus, MicroServices Experience with Modern Messaging frameworks and Caching frameworks Experience with Modern Web Development frameworks and technologies including: HTML5, JavaScript, AJAX, Angular, React, Knockout, Single-Page Applications Experience with AWS Cloud platform and container based deployment A strong orientation to the UX of our clients and the commercial value we deliver to them Financial Services Sector experience an advantage but not required Excellent collaboration skills and emotional intelligence A demanding, positive and happy personality
It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below).
EEO is the Law EEO is the Law Supplement Right to Work Pay Transparency Policy E-Verify
Current Colleagues
If you are currently a colleague with IHS Markit please apply internally via Workday.
At ElementAI we are putting together a world-class research and development team to build a platform enabling next generation AI-First businesses and advancing AI For Good.
Our applied research agenda in London focuses on working with humanitarian, environmental, societal projects and products for NGOs and nonprofits, providing the tech capacity and AI expertise to help solve some of the biggest worldwide issues those organisations face - such as human rights violation. We do so by helping them to tackle their real-world problems on real-world data, turning finding into products they love.
We are looking for a Data Scientist who will support our research and engineering teams by gaining insights and analysing datasets. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action.
In this role you will face different challenges from data exploration and cleaning to building and implementing algorithms as well as discovering solutions hidden in complicated data sets to improve product outcome.
Main responsibilities:
Process structured and unstructured data
Support Research Engineers in building Machine Learning models
Analyse disperse data sets and derive insights from it
Present information using data visualization techniques
Do hands-on analysis of the relevant data, assessing it from its raw stage all the way to production, including potentially preparing it for machine learning applications
Collaborate closely with engineering and product development teams
Requirements:
A M.Sc. or PhD in Computer Science, Mathematics, Physics, Statistics or other quantitative fields and proven experience as a Data Scientist or Data Analyst.
Experience in data mining
Experience with at least one of the following programming languages, preferably for the development of production code: Python, R
Strong analytical mind set
Excellent communication skills
Problem solving aptitude
Nice to have:
Client facing experience
What’s in it for you
Highly dynamic, innovative, passionate, intrapreneurial team;
Open and inclusive company culture;
Competitive salary;
Participation in the company success through the Employee Stock Option Plan;
Opportunity to interact with world-class academics from our Faculty Fellowship program
Access to cutting edge research
Flexible hours (outside of core hours);
Autonomous, self-managed Agile teams.
The seniority of the candidate will be established through the interview process. A more experienced candidate could evolve into a leadership position as we grow the team.
We currently have a good gender balance in our office, and are thinking hard on how to keep it that way as we grow -- not to look “correct”, but to benefit from the diversity of points of view, of ideas, of ways to work, of sensitivities, of social dynamics, that make a healthy and great team. Gender is not all there is to it, we think it’s a good place to start. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
11/01/2019
Full time
At ElementAI we are putting together a world-class research and development team to build a platform enabling next generation AI-First businesses and advancing AI For Good.
Our applied research agenda in London focuses on working with humanitarian, environmental, societal projects and products for NGOs and nonprofits, providing the tech capacity and AI expertise to help solve some of the biggest worldwide issues those organisations face - such as human rights violation. We do so by helping them to tackle their real-world problems on real-world data, turning finding into products they love.
We are looking for a Data Scientist who will support our research and engineering teams by gaining insights and analysing datasets. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action.
In this role you will face different challenges from data exploration and cleaning to building and implementing algorithms as well as discovering solutions hidden in complicated data sets to improve product outcome.
Main responsibilities:
Process structured and unstructured data
Support Research Engineers in building Machine Learning models
Analyse disperse data sets and derive insights from it
Present information using data visualization techniques
Do hands-on analysis of the relevant data, assessing it from its raw stage all the way to production, including potentially preparing it for machine learning applications
Collaborate closely with engineering and product development teams
Requirements:
A M.Sc. or PhD in Computer Science, Mathematics, Physics, Statistics or other quantitative fields and proven experience as a Data Scientist or Data Analyst.
Experience in data mining
Experience with at least one of the following programming languages, preferably for the development of production code: Python, R
Strong analytical mind set
Excellent communication skills
Problem solving aptitude
Nice to have:
Client facing experience
What’s in it for you
Highly dynamic, innovative, passionate, intrapreneurial team;
Open and inclusive company culture;
Competitive salary;
Participation in the company success through the Employee Stock Option Plan;
Opportunity to interact with world-class academics from our Faculty Fellowship program
Access to cutting edge research
Flexible hours (outside of core hours);
Autonomous, self-managed Agile teams.
The seniority of the candidate will be established through the interview process. A more experienced candidate could evolve into a leadership position as we grow the team.
We currently have a good gender balance in our office, and are thinking hard on how to keep it that way as we grow -- not to look “correct”, but to benefit from the diversity of points of view, of ideas, of ways to work, of sensitivities, of social dynamics, that make a healthy and great team. Gender is not all there is to it, we think it’s a good place to start. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Responsibilities for Data Scientist
Work with stakeholders throughout the organization to build proof of concepts for new business solutions.
Efficiently explore new data sources and assess data gathering techniques.
Help to conceptually frame and refine relevant business questions.
Build robust data pipelines.
Develop custom machine learning models and algorithms.
Coordinate with different functional teams to implement and productionize models whilst monitoring the performance.
Communicate findings to different stake holders.
It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below).
EEO is the Law EEO is the Law Supplement Right to Work Pay Transparency Policy E-Verify
Current Colleagues
If you are currently a colleague with IHS Markit please apply internally via Workday.
11/01/2019
Full time
Responsibilities for Data Scientist
Work with stakeholders throughout the organization to build proof of concepts for new business solutions.
Efficiently explore new data sources and assess data gathering techniques.
Help to conceptually frame and refine relevant business questions.
Build robust data pipelines.
Develop custom machine learning models and algorithms.
Coordinate with different functional teams to implement and productionize models whilst monitoring the performance.
Communicate findings to different stake holders.
It is the policy of IHS Markit to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, IHS Markit will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. For candidates in the US, we are a participant in E-Verify (see link below).
EEO is the Law EEO is the Law Supplement Right to Work Pay Transparency Policy E-Verify
Current Colleagues
If you are currently a colleague with IHS Markit please apply internally via Workday.
Are you looking for a rewarding and rapidly developing company who live and breathe data? Are you a Digital Data Analyst with strong experience of Web Analytics and data manipulation? In this role you will be instrumental in projects that will have a strong impact on the company's growth and development. The leading e-commerce business have had a hugely successful year and are looking to bolster their data team with an ambitious individual.
About the role
You will strengthen your knowledge of Python / R for data manipulation, whilst delivering Web Analytics insights for the business. You'll work closely with some of the market's strongest Data Scientists & Analysts, collaborating on a number of industry-changing projects. Autonomy, freedom and new technologies enable them to retain and attract staff of the highest calibre. Presenting recommendations and delivering actionable insights to the business is paramount to the role.
Skills required
Must have recent experience as an analyst/senior within a digital environment
You will have the ability to manipulate and extract insights from Web and Data Analytics
Experience required in working with Google Analytics, or similar Web Analytics tools (Webtrends, SiteCatalyst, Adobe Analytics etc), Tag Management exp.
Some experience/knowledge of Python / R / SQL, and AWS / Google Cloud / Azure exposure
Willingness to learn new technologies and the desire to push yourself for one of the many emerging positions within the business
Salary
If successful, you will receive a basic salary ranging from £35,000 - £45,000 based on experience plus a strong benefits package.
For further information please contact Lewis Forsyth on l.forsyth @ vertex-solutions.com
Key Words:
Digital | Data | Analyst | Web | SEO | Analytics | Google Analytics | Google Tag Manager | Tag Management | Python | R | SQL | Marketing | Business | London Ecommerce | Manipulation | Stakeholder Management
07/01/2019
Full time
Are you looking for a rewarding and rapidly developing company who live and breathe data? Are you a Digital Data Analyst with strong experience of Web Analytics and data manipulation? In this role you will be instrumental in projects that will have a strong impact on the company's growth and development. The leading e-commerce business have had a hugely successful year and are looking to bolster their data team with an ambitious individual.
About the role
You will strengthen your knowledge of Python / R for data manipulation, whilst delivering Web Analytics insights for the business. You'll work closely with some of the market's strongest Data Scientists & Analysts, collaborating on a number of industry-changing projects. Autonomy, freedom and new technologies enable them to retain and attract staff of the highest calibre. Presenting recommendations and delivering actionable insights to the business is paramount to the role.
Skills required
Must have recent experience as an analyst/senior within a digital environment
You will have the ability to manipulate and extract insights from Web and Data Analytics
Experience required in working with Google Analytics, or similar Web Analytics tools (Webtrends, SiteCatalyst, Adobe Analytics etc), Tag Management exp.
Some experience/knowledge of Python / R / SQL, and AWS / Google Cloud / Azure exposure
Willingness to learn new technologies and the desire to push yourself for one of the many emerging positions within the business
Salary
If successful, you will receive a basic salary ranging from £35,000 - £45,000 based on experience plus a strong benefits package.
For further information please contact Lewis Forsyth on l.forsyth @ vertex-solutions.com
Key Words:
Digital | Data | Analyst | Web | SEO | Analytics | Google Analytics | Google Tag Manager | Tag Management | Python | R | SQL | Marketing | Business | London Ecommerce | Manipulation | Stakeholder Management
We are looking for a strong Data Scientist / Sr. Data Scientist. Someone who speaks data! Someone who thrives on challenges! Someone who is experienced in the Python stack and Data Science/Data skills (Big Data, Machine Learning, Spark, data analytics), and willing to learn new tech.
This position is for a revolutionary business, changing the banking world as we know it.
Previous experience in startup or financial sector would be advantageous.
The project is based around developing and launching a new digital mobile platform for consumers.
The business offers a great package, do some super amazing work. Great for your career, no shortage of opportunity, no shortage of challenge. Technologies Used - Python/R, Big data, Machine Learning (Supervised/unsupervised/stat models), Data Analytics, Spark, Kafka, SQL
07/01/2019
Full time
We are looking for a strong Data Scientist / Sr. Data Scientist. Someone who speaks data! Someone who thrives on challenges! Someone who is experienced in the Python stack and Data Science/Data skills (Big Data, Machine Learning, Spark, data analytics), and willing to learn new tech.
This position is for a revolutionary business, changing the banking world as we know it.
Previous experience in startup or financial sector would be advantageous.
The project is based around developing and launching a new digital mobile platform for consumers.
The business offers a great package, do some super amazing work. Great for your career, no shortage of opportunity, no shortage of challenge. Technologies Used - Python/R, Big data, Machine Learning (Supervised/unsupervised/stat models), Data Analytics, Spark, Kafka, SQL
Data Engineer, required to join a dynamic Machine Learning Tech start-up, whose main expertise are in developing bigdata analytics and AI algorithms based on finance analysis.
The Data Engineer main goal is to optimise the performance of the companys big data ecosystem. In doing so, some of the responsibilities include writing complex queries, run ETL on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists.
Technical Skills
Google Cloud (GCP) / AWS
Hadoop
MapReduce
Hive
PIG
Data Streaming
NoSQL
SQL Programming
DashDB, MySQL, MongoDB, Cassandra
Excellent opportunity to join a growing firm who are going placed!
Contact: Sandeep Mangat
07/01/2019
Full time
Data Engineer, required to join a dynamic Machine Learning Tech start-up, whose main expertise are in developing bigdata analytics and AI algorithms based on finance analysis.
The Data Engineer main goal is to optimise the performance of the companys big data ecosystem. In doing so, some of the responsibilities include writing complex queries, run ETL on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists.
Technical Skills
Google Cloud (GCP) / AWS
Hadoop
MapReduce
Hive
PIG
Data Streaming
NoSQL
SQL Programming
DashDB, MySQL, MongoDB, Cassandra
Excellent opportunity to join a growing firm who are going placed!
Contact: Sandeep Mangat
As the Data Engineer you'll need experience with; Python/Java, ETL, Hadoop and Cloud Deployment (Google or AWS). You'll be joining a young, dynamic Machine Learning Tech start-up, who specialise in developing big–data analytics and artificial-intelligence algorithms based on behavioural-finance analysis (FinTech).
Working as the Data Engineer you'll prepare the big data infrastructure to be analysed by Data Scientists. You should be a capable Data Engineer who can design, build, integrate data from various resources, and manage big data.
In addition you should also be able to write complex queries on that, make sure it is easily accessible, works smoothly, and your goal is optimising the performance of their company’s big data ecosystem. You will also run some ETL on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists.
If you're a Data Engineer who's keen to find out more, please apply now!
Contact: Luke Hunt
07/01/2019
Full time
As the Data Engineer you'll need experience with; Python/Java, ETL, Hadoop and Cloud Deployment (Google or AWS). You'll be joining a young, dynamic Machine Learning Tech start-up, who specialise in developing big–data analytics and artificial-intelligence algorithms based on behavioural-finance analysis (FinTech).
Working as the Data Engineer you'll prepare the big data infrastructure to be analysed by Data Scientists. You should be a capable Data Engineer who can design, build, integrate data from various resources, and manage big data.
In addition you should also be able to write complex queries on that, make sure it is easily accessible, works smoothly, and your goal is optimising the performance of their company’s big data ecosystem. You will also run some ETL on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists.
If you're a Data Engineer who's keen to find out more, please apply now!
Contact: Luke Hunt
DXC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company’s technology independence, global talent and extensive partner alliance combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. For more information, visit www.dxc.technology . A number of excellent opportunities for customer facing permanent staff within the Analytics Practice has arisen in various locations within the UK.
Do you want to help us form one of the most agile, dynamic and efficient teams in the data world?
We are looking for people who are passionate about data, technology and exploring new ideas. The team that we’re building will quickly be recognised as the team to go to if you want to solve difficult data problems.
Candidates should be prepared to undertake security clearance as required by our clients.
Candidates should be mobile
The Big Data Engineer’s Role
As a Big Data engineer, you will be working with multi-discipline delivery teams in an agile project environment. These team are focus on delivering exceptional result to our clients. As such our Data Engineers will be engineers focused on solutions that push the art of the possible and strive to produce effective and innovative solutions for our client base. You will be called upon to help solve difficult business problems based on a robust, low latent platform of structured semi-structured and unstructured data. You will be seen as a subject matter expert and will be willing to mentor and develop our more junior Data engineers
Responsibilities:
Support in design, development and implementation of Big Data applications
Work in high profile projects using cutting edge technologies
Stay on top of evolving technology
Work collaboratively with multi-disciplined delivery teams
Assist in the development of prototypes and proof of concepts for selected solutions.
Qualifications: -
Minimum of a B.S. in computer science or equivalent work experience
5+ years’ experience using the Hadoop ecosystem to solve large-scale problems
Strong background in Java or Scala development
Experience of Linux scripting
Strong background in Big Data technologies such as: Spark, Akka, HBase, HDFS and Hive
Experience of Data Warehousing and ETL technologies including Informatica Powercenter and Data Quality
Experience of Data Analytics (R, Python, H2O, Rapidminer, Tensorflow)
Experience of Data Engineering (Scala, NiFi, Flink)
Experience in processing real-time events using Kafka, Flume or NiFi
Experience with distributed stream processing frameworks
Visualisation Development (D3.js, R Shiny, Leaflet, Kibana)
Familiarity with Agile engineering practices
Excellent oral and written English communication skills
Understanding of cloud platforms, such as Amazon Web Services
COMPETENCIES
Excellent communications skills
Ability to interact at all level across our client base
You have agility to learn new technologies quickly.
You display initiative and self-motivation.
02/01/2019
Full time
DXC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company’s technology independence, global talent and extensive partner alliance combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. For more information, visit www.dxc.technology . A number of excellent opportunities for customer facing permanent staff within the Analytics Practice has arisen in various locations within the UK.
Do you want to help us form one of the most agile, dynamic and efficient teams in the data world?
We are looking for people who are passionate about data, technology and exploring new ideas. The team that we’re building will quickly be recognised as the team to go to if you want to solve difficult data problems.
Candidates should be prepared to undertake security clearance as required by our clients.
Candidates should be mobile
The Big Data Engineer’s Role
As a Big Data engineer, you will be working with multi-discipline delivery teams in an agile project environment. These team are focus on delivering exceptional result to our clients. As such our Data Engineers will be engineers focused on solutions that push the art of the possible and strive to produce effective and innovative solutions for our client base. You will be called upon to help solve difficult business problems based on a robust, low latent platform of structured semi-structured and unstructured data. You will be seen as a subject matter expert and will be willing to mentor and develop our more junior Data engineers
Responsibilities:
Support in design, development and implementation of Big Data applications
Work in high profile projects using cutting edge technologies
Stay on top of evolving technology
Work collaboratively with multi-disciplined delivery teams
Assist in the development of prototypes and proof of concepts for selected solutions.
Qualifications: -
Minimum of a B.S. in computer science or equivalent work experience
5+ years’ experience using the Hadoop ecosystem to solve large-scale problems
Strong background in Java or Scala development
Experience of Linux scripting
Strong background in Big Data technologies such as: Spark, Akka, HBase, HDFS and Hive
Experience of Data Warehousing and ETL technologies including Informatica Powercenter and Data Quality
Experience of Data Analytics (R, Python, H2O, Rapidminer, Tensorflow)
Experience of Data Engineering (Scala, NiFi, Flink)
Experience in processing real-time events using Kafka, Flume or NiFi
Experience with distributed stream processing frameworks
Visualisation Development (D3.js, R Shiny, Leaflet, Kibana)
Familiarity with Agile engineering practices
Excellent oral and written English communication skills
Understanding of cloud platforms, such as Amazon Web Services
COMPETENCIES
Excellent communications skills
Ability to interact at all level across our client base
You have agility to learn new technologies quickly.
You display initiative and self-motivation.
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers: Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Senior Data Scientist Engineer, your role will encompass:
Leading and conducting ambitious projects in the transformation of clients through data
Having a contributor role in raising the level of competencies of the data science team
Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
You’ll also participate in international projects. Business travel is something you enjoy!
Among your responsibilities as Senior Data Scientist Engineer, you will be responsible for:
Leading data projects
Managing the resources on your projects to ensure challenges and skills are well match
Securing delivery on your projects
Communicating the successes of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech role model
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Strong experience and knowledge of computer science, data processing, algorithms, and data architecture
Experience leading a technical project in a business context
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: You get things done and inspire your teams to do the same
An Analyst: You LOVE data and think every company should take their decisions with facts
A Pragmatist: You have a hacker mindset and always find the quick wins
A Mentor: Your clients and teams naturally seek for advice
An Adventurer: You’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: Come and build the future of marketing
Progress: Every day offers new challenges and new opportunities to learn
Culture: Join the best team you could ever imagine
Entrepreneurship: You will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
Come join us!
02/01/2019
Full time
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers: Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Senior Data Scientist Engineer, your role will encompass:
Leading and conducting ambitious projects in the transformation of clients through data
Having a contributor role in raising the level of competencies of the data science team
Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
You’ll also participate in international projects. Business travel is something you enjoy!
Among your responsibilities as Senior Data Scientist Engineer, you will be responsible for:
Leading data projects
Managing the resources on your projects to ensure challenges and skills are well match
Securing delivery on your projects
Communicating the successes of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech role model
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Strong experience and knowledge of computer science, data processing, algorithms, and data architecture
Experience leading a technical project in a business context
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: You get things done and inspire your teams to do the same
An Analyst: You LOVE data and think every company should take their decisions with facts
A Pragmatist: You have a hacker mindset and always find the quick wins
A Mentor: Your clients and teams naturally seek for advice
An Adventurer: You’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: Come and build the future of marketing
Progress: Every day offers new challenges and new opportunities to learn
Culture: Join the best team you could ever imagine
Entrepreneurship: You will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
Come join us!
With the acquisition of OTAS Technologies in 2017 and our continued global evolution, Liquidnet is expanding its technology and quant team to build disruptive new products to further revolutionize trading and investing. Our products are used by the largest investment firms globally, and we are recognised as an industry-leading innovator in big data analytics, AI and machine learning.
We are a dynamic, technology-driven, and highly productive team of quants, developers and product designers. Deep collaboration with our clients and partners is key, and we benefit from great relationships with the most ground-breaking firms in the asset management industry, who help us to constantly push the limits of technology and analytics.
We are seeking talented developers to join a growing team with a track record of creating great software. The ideal candidate will have a passion for technology and building software, with attention to detail and strong analytical skills. In this role you will write applications that are deployed in production.
SKILLS
2+ years of relevant experience
Proficient in a mainstream programming language, such as Python, C/C++, C#, Java, JavaScript, Haskell or similar.
Familiarity with software development practices such as version control (git), test frameworks, code review tools, deployment configuration management, continuous integration.
Excellent communication skills and team orientation
RESPONSIBILITIES
Build a new framework supporting complex data analytics and forecasting models, in a big-data, high-throughput environment.
Work with the data science team and users to deliver high quality solutions in a dynamic environment.
02/01/2019
Full time
With the acquisition of OTAS Technologies in 2017 and our continued global evolution, Liquidnet is expanding its technology and quant team to build disruptive new products to further revolutionize trading and investing. Our products are used by the largest investment firms globally, and we are recognised as an industry-leading innovator in big data analytics, AI and machine learning.
We are a dynamic, technology-driven, and highly productive team of quants, developers and product designers. Deep collaboration with our clients and partners is key, and we benefit from great relationships with the most ground-breaking firms in the asset management industry, who help us to constantly push the limits of technology and analytics.
We are seeking talented developers to join a growing team with a track record of creating great software. The ideal candidate will have a passion for technology and building software, with attention to detail and strong analytical skills. In this role you will write applications that are deployed in production.
SKILLS
2+ years of relevant experience
Proficient in a mainstream programming language, such as Python, C/C++, C#, Java, JavaScript, Haskell or similar.
Familiarity with software development practices such as version control (git), test frameworks, code review tools, deployment configuration management, continuous integration.
Excellent communication skills and team orientation
RESPONSIBILITIES
Build a new framework supporting complex data analytics and forecasting models, in a big-data, high-throughput environment.
Work with the data science team and users to deliver high quality solutions in a dynamic environment.
As a small close-knit startup, building SaaS software for consumers and businesses is a large part of what we do to analyse data and provide insights. We use Python for our data-science and serve those insights out via a web-service. The ideal candidate must have a passion for building maintainable, reliable software and sharing their own ideas. You will work closely with UI, product and partner teams, so being able to collaborate and sprint together is important. At ctrlio, every member of our team has an essential voice in defining the product we deliver and this exciting opportunity gives you the chance to change the digital marketplace.
What you'll need to be successful
6+ years commercial software engineering experience
expert in python; modern python frameworks (e.g. Flask, RESTPlus)
solid background in an agile environment; building high-quality, well tested software
experience with relevant software development methodologies; Agile / SCRUM, TDD, CD/CI, GitHub / BitBucket, JIRA
experience of building reliable, scalable, high performance solutions
relevant industry experience; Adtech / ad exchanges, Ecommerce, Web analytics, Privacy & PII (no, not PPI, we promise)
solid background in unit and integration testing (pytest, hypothesis), Web technologies (HTML, CSS, AJAX), HTTP, cookies, web security, cross-domain issues and databases
experience with maintaining excellent coding conventions and standards (e.g. PEP 8/257)
strong communicator with the /ability to present your own ideas with a 'get things done' attitude (we are a startup after all)
the ability to mentor junior engineers and collaborate with other senior engineers on how to approach complex problems
ideally, experience with native python data handling frameworks; pandas, numpy, scipy
nice to have knowledge of; JavaScript, MySQL, MongoDB, Amazon AWS, Mobile (iOS / Android), Git
What you'll achieve:
3 months
understand our business, and how we are trying to change the world
participate in sprint reviews and work closely with engineers and product owner to nail down requirements
deploy high-quality, well tested software in an agile environment
understand the data science that powers ctrlio's core analytics and how we might extend it even further
12 months
become highly knowledgeable about ctrlio products
be a bastion for quality while helping other engineers reach exacting standards
mentor junior teammates with patience and help build a bar-raising team
experience building large-scale web apps with a reusable component architecture
be instrumental in building a platform to deliver complex analytics in real-time, at a massive scale
What you'll get from us
We realize exceptional people don't choose jobs based solely on benefits, but we do our best to make sure that you're set up for success, so you can do your best work. At ctrlio, contributory pension, 25 days holiday + 2 duvet days. Plus the fun stuff, like our off-site team away days to discuss culture and strategy, Summer and Christmas party, stocked fridge / box with healthy snacks and drinks and for the caffeine lovers a fab coffee machine.
About ctrlio
Our mission is to empower consumers to get better and more tailored offers from responsive merchants. We do this by enabling people to publish their buying intentions enriched with enough personal data to allow merchants equipped with ctrlio's smart analytics, to compete and bid for their business. This transforms both the way that personal data is used and the way that businesses acquire and retain customers. The fit with consumer empowerment and GDPR is perfect. Currently, we are engaged with price comparison sites across Europe to build products that power mobile, broadband, energy and insurance products and see this scaling into a powerful platform addressing many more product and service sectors over the coming 24 months.
Hiring exceptional people who want to build a great company together is our number one priority, and we are committed to providing an equal opportunity workplace where everyone is supported and inspired to do their best work. We're growing fast, and there's plenty of opportunity for you to make an impact -- join us!
02/01/2019
Full time
As a small close-knit startup, building SaaS software for consumers and businesses is a large part of what we do to analyse data and provide insights. We use Python for our data-science and serve those insights out via a web-service. The ideal candidate must have a passion for building maintainable, reliable software and sharing their own ideas. You will work closely with UI, product and partner teams, so being able to collaborate and sprint together is important. At ctrlio, every member of our team has an essential voice in defining the product we deliver and this exciting opportunity gives you the chance to change the digital marketplace.
What you'll need to be successful
6+ years commercial software engineering experience
expert in python; modern python frameworks (e.g. Flask, RESTPlus)
solid background in an agile environment; building high-quality, well tested software
experience with relevant software development methodologies; Agile / SCRUM, TDD, CD/CI, GitHub / BitBucket, JIRA
experience of building reliable, scalable, high performance solutions
relevant industry experience; Adtech / ad exchanges, Ecommerce, Web analytics, Privacy & PII (no, not PPI, we promise)
solid background in unit and integration testing (pytest, hypothesis), Web technologies (HTML, CSS, AJAX), HTTP, cookies, web security, cross-domain issues and databases
experience with maintaining excellent coding conventions and standards (e.g. PEP 8/257)
strong communicator with the /ability to present your own ideas with a 'get things done' attitude (we are a startup after all)
the ability to mentor junior engineers and collaborate with other senior engineers on how to approach complex problems
ideally, experience with native python data handling frameworks; pandas, numpy, scipy
nice to have knowledge of; JavaScript, MySQL, MongoDB, Amazon AWS, Mobile (iOS / Android), Git
What you'll achieve:
3 months
understand our business, and how we are trying to change the world
participate in sprint reviews and work closely with engineers and product owner to nail down requirements
deploy high-quality, well tested software in an agile environment
understand the data science that powers ctrlio's core analytics and how we might extend it even further
12 months
become highly knowledgeable about ctrlio products
be a bastion for quality while helping other engineers reach exacting standards
mentor junior teammates with patience and help build a bar-raising team
experience building large-scale web apps with a reusable component architecture
be instrumental in building a platform to deliver complex analytics in real-time, at a massive scale
What you'll get from us
We realize exceptional people don't choose jobs based solely on benefits, but we do our best to make sure that you're set up for success, so you can do your best work. At ctrlio, contributory pension, 25 days holiday + 2 duvet days. Plus the fun stuff, like our off-site team away days to discuss culture and strategy, Summer and Christmas party, stocked fridge / box with healthy snacks and drinks and for the caffeine lovers a fab coffee machine.
About ctrlio
Our mission is to empower consumers to get better and more tailored offers from responsive merchants. We do this by enabling people to publish their buying intentions enriched with enough personal data to allow merchants equipped with ctrlio's smart analytics, to compete and bid for their business. This transforms both the way that personal data is used and the way that businesses acquire and retain customers. The fit with consumer empowerment and GDPR is perfect. Currently, we are engaged with price comparison sites across Europe to build products that power mobile, broadband, energy and insurance products and see this scaling into a powerful platform addressing many more product and service sectors over the coming 24 months.
Hiring exceptional people who want to build a great company together is our number one priority, and we are committed to providing an equal opportunity workplace where everyone is supported and inspired to do their best work. We're growing fast, and there's plenty of opportunity for you to make an impact -- join us!
We are looking for a Business Analyst that will be helping the business make large shifts in technology and processes. You will be working for a financial company on a project where you will be responsible for all process updates.
Candidate Requirements
3+ years of experience in a similar role
Worked in a diverse team with varied roles and skills
Strong communication (written/verbal), leadership & stakeholder management skills are essential
Experienced at negotiating, influencing and collaborating with C-suite to drive business priorities
Experience using organizational change management, transformation, facilitative leadership, and project management methodologies
Demonstrated ability to collaborate, communicate, influence and work effectively with a broad cross section of functional areas
If you are a BA looking for the next step in your career, apply here!
Contact: Liam Hosking
02/01/2019
Full time
We are looking for a Business Analyst that will be helping the business make large shifts in technology and processes. You will be working for a financial company on a project where you will be responsible for all process updates.
Candidate Requirements
3+ years of experience in a similar role
Worked in a diverse team with varied roles and skills
Strong communication (written/verbal), leadership & stakeholder management skills are essential
Experienced at negotiating, influencing and collaborating with C-suite to drive business priorities
Experience using organizational change management, transformation, facilitative leadership, and project management methodologies
Demonstrated ability to collaborate, communicate, influence and work effectively with a broad cross section of functional areas
If you are a BA looking for the next step in your career, apply here!
Contact: Liam Hosking
Be responsible for the design, development, testing and installation of new product features and functions, as well as the maintenance of existing products.You will provide technical aspects of customer support including API-based data entry to our systems, and integration for new clients, undertake and support operational delivery, and build internal analytics and commercial management controls with the team. In addition to this, you will support testers throughout the SDLC and diagnose/report problems which may occur.Work with management and product teams to expand the scope and technology of the company to provide practical reliable data that their clients grow to rely on.
Scope of Job – Main Responsibilities
Designs, develops, tests, deploys, maintains and improves software. As required:
Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.
Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
Prepares and installs solutions by determining and designing system specifications, standards, and programming. Maintain Spec docs with linkage to relevant code parts.
Improves operations by conducting systems analysis; recommending changes in policies and procedures.
Undertake operational delivery of customer work and remedying technical and process issues that might prevent successful delivery.
Manages technical relationships with external systems partners and leads the integration process.
Obtains and licenses software by obtaining required information from vendors; recommending purchases; testing and approving products.
Advises management on and manages outsourced cloud services and other hardware.
Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment and committed to continuing professional development and networks.
Protects operations by keeping information confidential and secure and compliant with data protection legislation and meeting the company’s confidentiality and IP requirements.
Responsible for maintaining confidentiality of customer data and integrity of data outputs.
Provides information by collecting, analysing, and summarising development and service issues.
Accomplishes engineering and organisation mission by completing related results as needed.
Ensures work is delivered to the highest quality standards and quality is controlled.
Builds knowledge of the company’s specialist sectors to enable optimum product and service provision to customers and internal data analytics for management.
Contributes freely in team discussions.
Summary of Knowledge, Skills and Experience – Essential
You will have had at least 5 years working in a professional environment in software development, with delivery of product to market, & knowledge of IT architecture design and maintenance.
Significant experience using Java and comfortable with polyglot development. includes PostgreSQL, JavaScript/Angular JS, RESTful API’s, Bitbucket, Salt config management/orchestration, Apache Maven and Spring Framework/Wordpress.
A good understanding of relational databases and knowledge of the use of non-relational databases and other storage, search and retrieval solutions
An understanding of the business context and data analysis.
Experience working with web/MVC frameworks, an understanding of the wider networking/web stack and the capability to administer Linux systems and work with cloud providers.
Ability to design and implement appropriate encryption and backup.
Experience of agile project management
Can analyse information and problem solve to effectively debug and design software solutions.
Experience of software testing, both at the code level with unit/integration testing and at the functional level.
Awareness and experience of current best practice in software development and customer support and servicing.
Experience of creating and maintaining version control and quality control/assurance systems.
Good interdisciplinary communication skills, both within the team and the wider business and externally with customers and their systems providers and technology peers.
Can work effectively in a team and build personal relationships and trust.
Contact: Lewis Jordan
02/01/2019
Full time
Be responsible for the design, development, testing and installation of new product features and functions, as well as the maintenance of existing products.You will provide technical aspects of customer support including API-based data entry to our systems, and integration for new clients, undertake and support operational delivery, and build internal analytics and commercial management controls with the team. In addition to this, you will support testers throughout the SDLC and diagnose/report problems which may occur.Work with management and product teams to expand the scope and technology of the company to provide practical reliable data that their clients grow to rely on.
Scope of Job – Main Responsibilities
Designs, develops, tests, deploys, maintains and improves software. As required:
Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.
Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
Prepares and installs solutions by determining and designing system specifications, standards, and programming. Maintain Spec docs with linkage to relevant code parts.
Improves operations by conducting systems analysis; recommending changes in policies and procedures.
Undertake operational delivery of customer work and remedying technical and process issues that might prevent successful delivery.
Manages technical relationships with external systems partners and leads the integration process.
Obtains and licenses software by obtaining required information from vendors; recommending purchases; testing and approving products.
Advises management on and manages outsourced cloud services and other hardware.
Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment and committed to continuing professional development and networks.
Protects operations by keeping information confidential and secure and compliant with data protection legislation and meeting the company’s confidentiality and IP requirements.
Responsible for maintaining confidentiality of customer data and integrity of data outputs.
Provides information by collecting, analysing, and summarising development and service issues.
Accomplishes engineering and organisation mission by completing related results as needed.
Ensures work is delivered to the highest quality standards and quality is controlled.
Builds knowledge of the company’s specialist sectors to enable optimum product and service provision to customers and internal data analytics for management.
Contributes freely in team discussions.
Summary of Knowledge, Skills and Experience – Essential
You will have had at least 5 years working in a professional environment in software development, with delivery of product to market, & knowledge of IT architecture design and maintenance.
Significant experience using Java and comfortable with polyglot development. includes PostgreSQL, JavaScript/Angular JS, RESTful API’s, Bitbucket, Salt config management/orchestration, Apache Maven and Spring Framework/Wordpress.
A good understanding of relational databases and knowledge of the use of non-relational databases and other storage, search and retrieval solutions
An understanding of the business context and data analysis.
Experience working with web/MVC frameworks, an understanding of the wider networking/web stack and the capability to administer Linux systems and work with cloud providers.
Ability to design and implement appropriate encryption and backup.
Experience of agile project management
Can analyse information and problem solve to effectively debug and design software solutions.
Experience of software testing, both at the code level with unit/integration testing and at the functional level.
Awareness and experience of current best practice in software development and customer support and servicing.
Experience of creating and maintaining version control and quality control/assurance systems.
Good interdisciplinary communication skills, both within the team and the wider business and externally with customers and their systems providers and technology peers.
Can work effectively in a team and build personal relationships and trust.
Contact: Lewis Jordan
This is a newly created role to take control of this company’s huge amount of trading data and use it to identify opportunities and issues daily. This organisation is very fast growing within the ecommerce travel and leisure industry, and attribute their remarkable success to highly data literate people across the business who use data and insight at the heart of their decision-making. If you want to be a key driver in future growth and can apply your analytical greatness with commercial understanding, then this is the role for you.
Role & Responsibilities
Liaise with all departments to ensure all trading signals are as expected and when not troubleshoot and inform the appropriate teams.
Support the senior management team with daily and weekly trading reports.
Identify merchandising opportunities
Create and maintain daily and weekly dashboards.
Deep dive into the data to spot trends and solve complex problems.
Always question the validity of data and to reconcile where appropriate.
Monitor how the business is trading
Experience & Skills Required
Educated to degree level in a relevant discipline.
Zeveral years’ experience with analytics and reporting in an e-commerce environment.
Be able to balance workload and self-prioritise.
Confidently use data & insight to identify opportunities.
Possess advanced analytical skills i.e. Microsoft Excel, SQL server and Tableau
Adopt a collaborative approach.
Be a great communicator with the ability to converse at all levels in the business.
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
31/12/2018
Full time
This is a newly created role to take control of this company’s huge amount of trading data and use it to identify opportunities and issues daily. This organisation is very fast growing within the ecommerce travel and leisure industry, and attribute their remarkable success to highly data literate people across the business who use data and insight at the heart of their decision-making. If you want to be a key driver in future growth and can apply your analytical greatness with commercial understanding, then this is the role for you.
Role & Responsibilities
Liaise with all departments to ensure all trading signals are as expected and when not troubleshoot and inform the appropriate teams.
Support the senior management team with daily and weekly trading reports.
Identify merchandising opportunities
Create and maintain daily and weekly dashboards.
Deep dive into the data to spot trends and solve complex problems.
Always question the validity of data and to reconcile where appropriate.
Monitor how the business is trading
Experience & Skills Required
Educated to degree level in a relevant discipline.
Zeveral years’ experience with analytics and reporting in an e-commerce environment.
Be able to balance workload and self-prioritise.
Confidently use data & insight to identify opportunities.
Possess advanced analytical skills i.e. Microsoft Excel, SQL server and Tableau
Adopt a collaborative approach.
Be a great communicator with the ability to converse at all levels in the business.
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Data Engineer, required to join a dynamic Machine Learning Tech start-up, whose main expertise are in developing bigdata analytics and AI algorithms based on finance analysis.
The Data Engineer main goal is to optimise the performance of the companys big data ecosystem. In doing so, some of the responsibilities include writing complex queries, run ETL on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists.
Technical Skills
Google Cloud (GCP) / AWS
Hadoop
MapReduce
Hive
PIG
Data Streaming
NoSQL
SQL Programming
DashDB, MySQL, MongoDB, Cassandra
Excellent opportunity to join a growing firm who are going placed!
Contact: Sandeep Mangat
29/12/2018
Full time
Data Engineer, required to join a dynamic Machine Learning Tech start-up, whose main expertise are in developing bigdata analytics and AI algorithms based on finance analysis.
The Data Engineer main goal is to optimise the performance of the companys big data ecosystem. In doing so, some of the responsibilities include writing complex queries, run ETL on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists.
Technical Skills
Google Cloud (GCP) / AWS
Hadoop
MapReduce
Hive
PIG
Data Streaming
NoSQL
SQL Programming
DashDB, MySQL, MongoDB, Cassandra
Excellent opportunity to join a growing firm who are going placed!
Contact: Sandeep Mangat
At Longshot Systems we’re building advanced platforms for sports betting analytics and trading.
We are a small start-up company working in a rewarding and challenging industry. Having developed a lot of our core platform infrastructure we are looking to begin expanding our trading strategy research activity. Our core systems handle thousands of events per second, 24/7. We have similar problems and constraints to high frequency trading firms, but in the sports betting world.
You'd be working closely with the CEO, CTO and Machine Learning research team to design, test and implement new high frequency sports betting strategies based on machine learning models. Due to us being a small startup the role suits someone who wants to be involved in all aspects of the R&D process, from high-level design through to production implementation. Our ML stack is Python based and communicates with our core infrastructure, written in Golang, by RPC.
The ideal candidate will be highly creative and enjoy generating new, innovate ways to tackle problems and suggesting improvements to existing methodologies; you'll have a high level of autonomy to research whichever methods you felt would be best suited to the problem at hand. A strong mathematical understanding of the fundamentals of Machine Learning and core Statistics is very important for this role and ideally you'll have experience in doing research on cutting-edge models either in industry or academia.
If you're the kind of person who enjoys knocking up a prototype model based on something you read the other day in a research paper you'll enjoy our working environment. We have weekly research afternoons where each member of the team reads up about a new topic, technique or academic paper that interests them and discusses or presents it to the rest of the team afterwards to ensure we're always learning and staying on top of recent research and technologies.
We've got a pretty relaxed atmosphere here with team lunches / after work drinks a regular occurrence (our local pub does excellent Thai food, we go frequently). Our customary office hours are week days, 10 til 6. We don't much like peak rush hour. If that doesn't suit, let us know and we can talk, we're flexible. Our office is based in Marylebone, London.
REQUIREMENTS
Essential Skills
Very strong mathematical intuition and creativity.
Experience across a broad range of Machine Learning and Statistics. The intuition and experience to select the right approach to novel problems and understand the trade-offs involved in that approach as well as understanding the mathematical background to the solution chosen.
A practical, pragmatic approach to research and development; experience in taking ideas from concept stage through to production environments.
Experience using a range of ML software frameworks in Python
Knowledge and experience of many different ML tools/techniques, with expertise in a few of the following: Convex and non-convex optimisation, Neural Networks, Linear & Quadratic programming, Gaussian Processes, Bayesian techniques, Time Series modelling, Probabilistic Programming, SVMs, GLMs, Anomaly/outlier detection, Ensemble methods etc.
Passionate about learning new skills and techniques. Comfortable finding and reading academic papers to generate new research ideas.
Desired Skills
Relevant qualifications in Computer Science, Maths, Statistics, Machine Learning etc
Software development experience
Python / Numpy / Cython execution speed optimisation techniques
Experience in a systems-level language - C/C++, Java, C#, Golang etc
Unix scripting
Git or other version control experience
SQL
We encourage you to apply even if you think you may not currently fit all of these requirements – so long as you are willing to work hard and learn, we want to hear from you.
BENEFITS
Our salary range for the role is £80,000 to £120,000, depending on experience and interview performance. We offer 10% matched pension contributions as standard for all staff.
Choose your own hardware & setup for your development environment. Adjustable standing desks provided
29/12/2018
Full time
At Longshot Systems we’re building advanced platforms for sports betting analytics and trading.
We are a small start-up company working in a rewarding and challenging industry. Having developed a lot of our core platform infrastructure we are looking to begin expanding our trading strategy research activity. Our core systems handle thousands of events per second, 24/7. We have similar problems and constraints to high frequency trading firms, but in the sports betting world.
You'd be working closely with the CEO, CTO and Machine Learning research team to design, test and implement new high frequency sports betting strategies based on machine learning models. Due to us being a small startup the role suits someone who wants to be involved in all aspects of the R&D process, from high-level design through to production implementation. Our ML stack is Python based and communicates with our core infrastructure, written in Golang, by RPC.
The ideal candidate will be highly creative and enjoy generating new, innovate ways to tackle problems and suggesting improvements to existing methodologies; you'll have a high level of autonomy to research whichever methods you felt would be best suited to the problem at hand. A strong mathematical understanding of the fundamentals of Machine Learning and core Statistics is very important for this role and ideally you'll have experience in doing research on cutting-edge models either in industry or academia.
If you're the kind of person who enjoys knocking up a prototype model based on something you read the other day in a research paper you'll enjoy our working environment. We have weekly research afternoons where each member of the team reads up about a new topic, technique or academic paper that interests them and discusses or presents it to the rest of the team afterwards to ensure we're always learning and staying on top of recent research and technologies.
We've got a pretty relaxed atmosphere here with team lunches / after work drinks a regular occurrence (our local pub does excellent Thai food, we go frequently). Our customary office hours are week days, 10 til 6. We don't much like peak rush hour. If that doesn't suit, let us know and we can talk, we're flexible. Our office is based in Marylebone, London.
REQUIREMENTS
Essential Skills
Very strong mathematical intuition and creativity.
Experience across a broad range of Machine Learning and Statistics. The intuition and experience to select the right approach to novel problems and understand the trade-offs involved in that approach as well as understanding the mathematical background to the solution chosen.
A practical, pragmatic approach to research and development; experience in taking ideas from concept stage through to production environments.
Experience using a range of ML software frameworks in Python
Knowledge and experience of many different ML tools/techniques, with expertise in a few of the following: Convex and non-convex optimisation, Neural Networks, Linear & Quadratic programming, Gaussian Processes, Bayesian techniques, Time Series modelling, Probabilistic Programming, SVMs, GLMs, Anomaly/outlier detection, Ensemble methods etc.
Passionate about learning new skills and techniques. Comfortable finding and reading academic papers to generate new research ideas.
Desired Skills
Relevant qualifications in Computer Science, Maths, Statistics, Machine Learning etc
Software development experience
Python / Numpy / Cython execution speed optimisation techniques
Experience in a systems-level language - C/C++, Java, C#, Golang etc
Unix scripting
Git or other version control experience
SQL
We encourage you to apply even if you think you may not currently fit all of these requirements – so long as you are willing to work hard and learn, we want to hear from you.
BENEFITS
Our salary range for the role is £80,000 to £120,000, depending on experience and interview performance. We offer 10% matched pension contributions as standard for all staff.
Choose your own hardware & setup for your development environment. Adjustable standing desks provided
