13 Big Data jobs

Innovation Machine Learning Developer and Modeller Job Reference: 176097BR Location: City of London Job Type: Full Time Your role Do you like collecting new business ideas and quickly developing solutions? Do you enjoy collaborating with a wide range of stakeholders? We’re looking for someone like that who will: – coordinate the data analytics and machine learning efforts in the Innovation Lab – be responsible for development of machine learning prototypes in the lab – be responsible for creating and maintaining a "production like" data set for prototyping – assess new technologies for processing, storing and analyzing data and recommending suitable use cases – work closely with the existing business innovation teams to understand their needs Your team You’ll be working in the IB Innovation Lab which is a small, newly-forming team of exceptionally talented engineers, mathematicians, developers and Front Office professionals. The team's aim is to help the business identify viable opportunities for innovation, and to build business cases rapidly. Our business is well suited to the curious and intellectually-honest, those who are not blockers and are committed to working collaboratively with others to help our business grow. We all play a personal part in the growth of the IB and deliver tangible results to our revenue targets, and your creativity and enthusiasm for new ideas will help drive this forward Your expertise You have: – a minimum of a Bachelor's degree – a minimum of ten years of hands on software development experience – prior experience in developing data intensive applications and working with modern data platforms (Hadoop, Exadata, Cassandra) – prior experience working in at least on iterative development methodology environment (RAD, Kanban, SCRUM, Lean) – prior experience working in multiple modern technical platforms (cloud-based solutions, mobile app development, software as a service) – experience of various relevant programming languages, with a proficient understanding of new features in Java 8 and above You are: – able to communicate enthusiastically on Innovation Lab projects and express your view in a clear and compelling manner across diverse groups – familiar with all forms of digital technologies, and passionate about and motivated by emerging technologies including those in AI and Machine Learning – familiar with data visualization tools and how to represent large complex data sets rapidly and simply – a flexible, resilient team player with a positive attitude – known for your can-do attitude when tackling daily tasks – fluent in English About us Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world. We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us? What we offer Together. That’s how we do things. We offer people around the world a supportive, challenging and diverse working environment. We value your passion and commitment, and reward your performance. Keen to achieve the work-life agility that you desire? We're open to discussing how this could work for you (and us). Take the next step Are you truly collaborative? Succeeding at UBS means respecting, understanding and trusting colleagues and clients. Challenging others and being challenged in return. Being passionate about what you do. Driving yourself forward, always wanting to do things the right way. Does that sound like you? Then you have the right stuff to join us. Apply now. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Big Data Developer / Architect is required to join an international and truly progressive company (voted one of the best companies to work) from their head office based in Southampton. The role of a Big Data Developer will be to work within a small team environment that develop large scale data solutions and transformative cloud hosted data platforms for my client and their growing customer base. You will be working throughout the full lifecycle from developing and delivering early proofs of concepts all the way through to implementation. The ideal candidate for this position will have a strong level of experience within data ingestion / transformation and ideally have worked for the last few years within Microsoft Azure along with some open source tools. You will have some experience within: Microsoft Azure and it's various components e.g. Azure Storage, Azure SQL Data, Azure Data Lake etc… Experience within Open Source non-relational / NoSQL data repositories e.g. MongoDB, Cassandra, Neo4J Apache Spark Experience working within an Agile / DevOps environment Designing and delivering scalable and re-usable frameworks Any experience within Apache Solr, Elasticsearch & Kibana along with Axure Search would be highly beneficial As you will be working in a small team along with liaising with other departments and stakeholders, your communication skills, both written and verbal, must be strong. This is an excellent opportunity to join a company that can offer a fantastic benefits package, along with further opportunities for personal growth.

QUALIFICATIONS: MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics) Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)  Experience in applying data science methods to business problems Programming experience in languages such as: Python, R, Scala, SQL Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields Knowledge of distributed computing or NoSQL technologies is a bonus Proven application of advanced analytical and statistical methods in the commercial world WHO YOU'LL WORK WITH As a Principal Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.  Who you are You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. WHAT YOU'LL DO You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance. Role responsibilities Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches Mentor Senior Data Scientists and providing guidance to Fellow Data Scientists where required Be responsible for providing insights to the Leadership team based on client and team learnings Take ownership of separate work streams, for instance R&D or Recruiting Be responsible for Recruiting other Data Scientists with the Recruiting team Plan and execute secure, good practice data integration strategies and approaches Acquire, ingest, and process data from multiple sources and systems into Big Data platforms Create and manage data environments in the Cloud Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models Using a strong understanding of Information Security principles to ensure compliant handling and management of client data Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis What you’ll learn How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data. Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations Using new technologies and problem-solving skills in a multicultural and creative environment You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.  Real-World Impact   – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership   – We work with the latest technologies and methodologies and offer first class learning programmes at all levels. Multidisciplinary Teamwork   - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture   – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity   – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits  

QUALIFICATIONS: Meaningful experience with at least two of the following technologies: Python, Scala, SQL, Java Commercial client-facing project experience is helpful, including working in close-knit teams The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets Meaningful experience in multiple database technologies such as: Distributed Processing (Spark, Hadoop, EMR) Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL) MPP (AWS Redshift, Teradata) NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan) A confirmed ability in clearly communicating complex solutions A deep understanding of Information Security principles to ensure compliant handling and management of client data Experience and interest in Cloud platforms such as: AWS, Azure, Goole Platform or Databricks Confirmed experience in traditional data warehousing / ETL tools (Informatica, Talend, Pentaho, DataStage) Extraordinary attention to detail WHO YOU'LL WORK WITH Our Consultant Data Engineers work closely with our clients and our Data Scientists in order to curate, transform and construct features which feed directly into our modelling approach. This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study. Who you are A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others. WHAT YOU'LL DO You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance. Role responsibilities Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches Acquire, ingest, and process data from multiple sources and systems into Big Data platforms Understanding, assessing and mapping the data landscape. Maintaining our Information Security standards on the engagement. Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models. Defining the technology stack to be provisioned by our infrastructure team. Building modular pipeline to construct features and modelling tables. Use new and creative techniques to deliver impact for our clients as well as internal R&D projects. Mentoring and developing junior Data Engineers on engagements. What you’ll learn How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end  pipelines. Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations. Be focused on the wrangling, clean-up and transformation of data by working alongside the Data Science team which focuses on modelling the data. Using new technologies and problem-solving skills in a multicultural and creative environment. You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.  Real-World Impact   – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership   – We work with the latest technologies and methodologies and offer first class learning programmes at all levels. Multidisciplinary Teamwork   - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture   – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity   – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.

QUALIFICATIONS: Meaningful experience with at least two of the following technologies: Python, Scala, SQL, Java Commercial client-facing project experience is helpful, including working in close-knit teams The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets Meaningful experience in multiple database technologies such as: Distributed Processing (Spark, Hadoop, EMR) Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL) MPP (AWS Redshift, Teradata) NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan) A confirmed ability in clearly communicating complex solutions A deep understanding of Information Security principles to ensure compliant handling and management of client data Experience and interest in Cloud platforms such as: AWS, Azure, Goole Platform or Databricks Confirmed experience in traditional data warehousing / ETL tools (Informatica, Talend, Pentaho, DataStage) Extraordinary attention to detail WHO YOU'LL WORK WITH Our Consultant Data Engineers work closely with our clients and our Data Scientists in order to curate, transform and construct features which feed directly into our modelling approach. This would be a hybrid client-facing/technical role using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical strategy the team employs on the study. Who you are A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others. WHAT YOU'LL DO You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance. Role responsibilities Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches Acquire, ingest, and process data from multiple sources and systems into Big Data platforms Understanding, assessing and mapping the data landscape. Maintaining our Information Security standards on the engagement. Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models. Defining the technology stack to be provisioned by our infrastructure team. Building modular pipeline to construct features and modelling tables. Use new and creative techniques to deliver impact for our clients as well as internal R&D projects. What you’ll learn How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end  pipelines. Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations. Be focused on the wrangling, clean-up and transformation of data by working alongside the Data Science team which focuses on modelling the data. Using new technologies and problem-solving skills in a multicultural and creative environment. You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.  Real-World Impact   – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership   – We work with the latest technologies and methodologies and offer first class learning programmes at all levels. Multidisciplinary Teamwork   - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture   – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity   – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.

QUALIFICATIONS: MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics) Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning Demonstrated senior-level leadership (thought leadership or people leadership e.g. managed project teams or direct reports) in engaging with C-level executives and technical clients Experience in applying data science methods to business problems Programming experience in languages such as: Python, R, Scala, SQL Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields Knowledge of distributed computing or NoSQL technologies is a bonus Proven application of advanced analytical and statistical methods in the commercial world WHO YOU'LL WORK WITH As a Senior Principal Data Scientist at QuantumBlack, you will lead other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.  Who you are You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. WHAT YOU'LL DO You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance. Role responsibilities Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches Mentor Principal Data Scientists and provide guidance to Fellow Data Scientists where required Be responsible for providing insights to the Leadership team based on client and team learnings Take ownership of separate work streams, for instance R&D or Recruiting Be responsible for Recruiting other Data Scientists with the Recruiting team Plan and execute secure, good practice data integration strategies and approaches Acquire, ingest, and process data from multiple sources and systems into Big Data platforms Create and manage data environments in the Cloud Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models Using a strong understanding of Information Security principles to ensure compliant handling and management of client data Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis What you’ll learn How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data. Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations Using new technologies and problem-solving skills in a multicultural and creative environment You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.  Real-World Impact   – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership   – We work with the latest technologies and methodologies and offer first class learning programmes at all levels. Multidisciplinary Teamwork   - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture   – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity   – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits  

QUALIFICATIONS MSc or degree in Computer Science or a relevant subject Strong coding skills in Python. Experience with pandas, scikit-learn, matplotlib a big plus. Practical experience with machine learning methods, such as Linear Regression, Decision Trees, Random Forest, Deep Learning, etc Solid understanding of good software engineering principles Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential Good knowledge of testing frameworks and libraries Good knowledge of database management languages e.g. SQL, PostgreSQL WHO YOU'LL WORK WITH You will have the opportunity to work on complex problems with our clients across a number of domains. You will work part of a highly collaborative and cross-functional team of Data Scientists, Data Architects, Engineers and Designers. Who you are A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team. You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly. Trust between colleagues is paramount here – you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients. You are naturally enthusiastic and enjoy sharing your passion with others. WHAT YOU'LL DO As a Machine Learning Engineer, you are a keen problem solver who uses technology to solve complex analytical problems. You have a deep interest in Big Data technologies, Analytics and Data Science. You know how to engineer beautiful code in Python and/or Scala (and Spark) but also can read R and take pride in what you produce. Role responsibilities Work closely with Data Scientists and Data Engineers to productionise and deploy machine learning models Work with the guild leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines Play an active role in leading team meetings and workshops with clients Choose and use the right analytical libraries, programming languages, and frameworks for each task Produce high-quality code that allows us to put solutions into production Refactor code into reusable libraries, APIs, and tools Help us to shape the next generation of our products Rotate between client project work and internal product development in alignment with your personal development plan  Who we are QuantumBlack teams work in multi-disciplinary environments harnessing data to provide real-world impact. We bring together the brightest data scientists, engineers and designers to take on the biggest problems facing the world’s most influential organisations. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture. No project is ever the same -  we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership  – We work with the latest technologies and methodologies and offer first class learning programmes at all levels Multidisciplinary Teamwork  - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture  - Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity –  With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture: Healthcare Efficiency   – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact   – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development   – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our   Careers site   to watch our video and read about our interview processes and benefits.

Data Engineer needed to join a well know Data Science and technology leader! As the Data Engineer you will have a strong and successful commercial career in Data Engineering and have a strong interest in all things data related. As the Data Engineer, you will be responsible for the collaboration between data scientists and data engineers to identify and develop solutions. Work on data integration and work with big data migration strategies. Essential Experience developing ETL and data integration solutions Strong SQL skills and experience working with a relational database (MySQL, Postgres, MySQL, Oracle etc…) Experience working with data warehouse solutions, extracting and processing data in various ways using off-the-shelf tools and open-source tools Experience with a general purpose programming language, 3+ years' experience one of (Python a plus, JVM languages, JS, Ruby) Working with Linux or Windows operating systems and version control systems (Git) (3+ years) Desirable Hands-on experience with cloud environments (AWS preferred) Building API's and apps using Python/JS or an alternative language Knowledge of Hadoop technology (Map-reduce, HDFS, Hive) Capita IT Resourcing is acting as an Employment Agency in relation to this vacancy.

Data Engineer needed to join a well know Data Science and technology leader! As the Data Engineer you will have a strong and successful commercial career in Data Engineering and have a strong interest in all things data related. As the Data Engineer, you will be responsible for the collaboration between data scientists and data engineers to identify and develop solutions. Work on data integration and work with big data migration strategies. Essential Experience developing ETL and data integration solutions Strong SQL skills and experience working with a relational database (MySQL, Postgres, MySQL, Oracle etc…) Experience working with data warehouse solutions, extracting and processing data in various ways using off-the-shelf tools and open-source tools Experience with a general purpose programming language, 3+ years' experience one of (Python a plus, JVM languages, JS, Ruby) Working with Linux or Windows operating systems and version control systems (Git) (3+ years) Desirable Hands-on experience with cloud environments (AWS preferred) Building API's and apps using Python/JS or an alternative language Knowledge of Hadoop technology (Map-reduce, HDFS, Hive) Capita IT Resourcing is acting as an Employment Agency in relation to this vacancy.

Who we want Are you passionate about big data?  Does running 20,000 reducers and 10,000 mappers excite you?  Are you amazed thinking about using 60 instances of AWS  R4.8Xlarge  all at 100% CPU, 100% Memory (14 TB), and 100% network utilization with a 13x data explosion?    You may not have heard of Bazaarvoice, but you probably have used our software on a regular basis…   We provide consumer generated content to over 700 million devices and ½ billion unique users every month.  That content is hosted and collected on over 5000 brand and retail websites around the world.  Our Mission: build the world’s smartest network of consumers, brands, and retailers.  If you want to build software that impacts over 500 million users, helping them make smart buying decisions, work with large data sets, build large distributed systems, and more, then take a look at then take a look at the requirements below and submit your CV…even if your just close.  Essential Skills - BSc in Computer Science or equivalent (education or work based) 3+ years building software in a commercial environment (preferably SaaS) 2+ years’ experience with one or more of the following Java, Scala, C#, or similar language Working knowledge of at least one scripting language – Python, Bash, JavaScript, etc Able to demonstrate software engineering fundamentals such as OO design, unit testing, code reuse, code reviews, run time analysis, etc.   Desired Criteria - Familiarity with one or more big-data infrastructures such as Hbase, Hadoop, Mongo, Cassandra, or RDBMS. AWS experience including one or more of the following Cloudformation, EMR, S3, EC2, Cloud Trail, etc. Experience in the design, implementation, and support of major components of an analytics solution. Experience with Storm or Spark Familiar with Maven, Hudson, Git, etc.- Working with TB+ size data sets Performing large-scale analytics using Map/Reduce Demonstrated experience in the design and development of large scale, performant, and fault tolerant applications Experience in defining data to be captured, how it would be aggregated, and how to implement those mechanisms Experience and passion in working on agile teams using Scrum, Kanban, or similar Nice to have experience building large-scale data processing systems with extensive knowledge in data warehousing solutions. This includes developing prototypes and proof-of-concepts for the selected solutions. An understanding and experience building high-performance algorithms About Bazaarvoice   Bazaarvoice connects brands and retailers to consumers, so that every shopping experience feels personal. From search and discovery to purchase and advocacy, Bazaarvoice’s solutions reach in-market shoppers, personalize their experiences, and give them the confidence to buy. Each month in the Bazaarvoice Network, more than a billion consumers view and share authentic content including reviews, questions and answers, and social photos across 6,000 brand and retail websites. Across the network, Bazaarvoice captures billions of shopper signals monthly - data that powers high-efficiency digital advertising and personalization with unmatched relevance. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, and Australia. For more information, visit  www.bazaarvoice.com .  Why join Bazaarvoice ? We’re committed to client success: There are over 5K brand and retail websites in the Bazaarvoice network. Our clients represent some of the world’s leading companies across a wide range of industries including retail, apparel, automotive, consumer electronics and travel. We’re leaders in consumer-generated content: Each month, more than one-half billion consumers view and share authentic consumer-generated content, such as ratings and reviews, curated photos, social posts and videos, about products in our network. Last year, 135K reviews were submitted each day. Our network delivers: Network analytics provide insights that help marketers and advertisers provide more engaging experiences that drive brand awareness, consideration, sales, and loyalty. We’re a great place to work: We pride ourselves on our unique culture. Join a company that values passion, innovation, authenticity, generosity, respect, teamwork, and performance. Commitment to diversity and inclusion Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers.

Department overview IHS Markit is a global market leader in providing information, analytics and solutions for industries and markets that drive economies worldwide. At IHS Markit we’re currently investing in our 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, Cassandra, HDFS, Kafka, SOLR and AWS along with in-house developed technologies. The successful candidate will be working in a fast paced, dynamic team environment, building brand new commercial products which are at the heart of our business. Position Summary The candidate will work on a new IHS Markit Advanced Analytics and next generation data integration platform to develop innovative analytics solutions. Working along with SMEs across industry verticals, develop Proof of Concepts (POC) for break through ideas and develop analytical products for successful POCs. The candidate will develop products across industries like Financial Markets, Aerospace & Defence, Maritime & Trade, Automobile, Energy, Technology, Media and Communication. These products would leverage vari ety of data across industries, large volumes of structured and unstructured data with varying velocity. These products use best of breed technologies and AI & Machine Learning algorithms. A sample of our products are, Dividend forecasting Leveraging data across Financial Market, Automobile, Energy, Maritime and Defence, machine learning algorithms predict dividend announcement dates and dividend amounts Terrorism event extraction and classification News from multiple sources across internet is crawled and events related to terrorism are extracted, deduped and classified using Natural Language and Deep Learning algorithms Baltic Freight Rate Index forecast Time series econometrics models predict monthly shipping freight rate indices for dry bulk commodities across several shipping routes for future 24 months Carbon Pathway optimization Using non-linear optimization techniques, identify least cost path to achieve carbon emission goals by optimal planning of power production across renewable and non-renewable sources while meeting power demand Duties and responsibilities Develop complex analytical algorithms and frameworks by being hands on modelling, data analysis and coding Partner with project leader and other data scientists in the team to build best possible data science solutions in a timely manner Work with a variety of data with varying complexities using advanced data science tools Frame optimal analytical solutions to business problems by leveraging the latest developments in Machine Learning and AI Employ efficient algorithms for data mining and visualization Research new or adapt existing machine learning approaches to novel practical problems Communicate insights and challenges effectively to different stakeholders in the organization Help gaining insights from the unique-to-the-market heterogeneous IHS Markit data through statistical/machine learning techniques Business competencies Education and experience Essential 5+ years progressive professional experience in Advanced Analytics/ Data Science Hands on experience in modelling techniques, big data tools and coding Mastery of one or more of: Python, R, Java, Scala Experience in working in teams handling complex analytical projects Experience in data visualisation techniques Knowledge of numerical optimisation methods Bachelor’s/Master’s degree in Quantitative discipline from a leading university Beneficial Experience in Natural Language Processing & Deep Leaning techniques Work experience in a team similar to Advanced Analytics in IHS Markit PhD Personal competencies Personal impact You love to solve complex problems, whether that's making the user experience as responsive as possible or understanding complex client requirements. Communication You can confidently present your own ideas and solutions, as well as guide technical discussions. Teamwork Your welcoming attitude encourages people to approach you when they have a problem you can help them solve. 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.

Main purpose of the role: This is a senior development role working in the team responsible for the firm’s Big Data analytics platform, with a specialism in Java or Scala required. The successful candidate will work with the data team to build out the existing platform to support additional technology and business use-cases involving both on-premise and Cloud implementations. The platform delivers data solutions across BGC Group including use-cases for: market data analytics, regulatory reporting, surveillance and revenue analysis. Key responsibilities: To work in partnership with the business/business analysts to identify key requirements for implementation To identify any technical requirements for new products To work with all the business and technology departments to ensure all business and technical requirements are met To identify and manage any integration work To analyse, design and build any such projects To provide input into the current and on-going system architecture To liaise with other development teams as necessary to implement cross-team projects Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviours across the firm   To undertake and manage : Systems analysis and design Systems development Systems documentation Production support and out-of-hours system maintenance Skills / experience required: Development experience working with Big Data platforms covering the following technologies: Hortonworks, Hive Kafka, KafkaConnect, KafkaStreaming + ZooKeeper Spark, SparkSQL Zeppelin Cassandra ElasticSearch, LogStash, Kibana Linux, Docker, Java or Scala (with Python beneficial) Substantial database experience: Relational and NoSQL data modelling. Jenkins, Ambari, Ansible, Yarn Additional Skills / experience: AWS: Data Pipeline, S3, EMR, Lamda, DynamoDB, RedShift Datastax Experienced in addressing efficient data storage and querying against very large stores. Experience of accommodating key requirements of MIFID II in designs/implementations. Recent experience using high performance messaging middleware such as Tibco RV or Solace. Experience of software development in a financial services environment advantageous Willingness to keep up to date with latest technology trends and proactively identify appropriate areas into which they can be applied Solid Computing Degree Personal attributes: Team player with excellent inter-personal skills and confident communication skills. Able to effectively disseminate knowledge and experience to less experienced team members. Must be able to deal with our customers effectively, ie development teams working across the globe using Messaging and Data products, alongside external vendors who use the products. Must be able to deal with and adapt to change extremely effectively. Must be proactive in generating ideas and effective at developing solutions that are balanced, proportionate and effective. It is critical that this is achieved in collaboration with the global team. Ability to work and function under pressure, handle multiple tasks, and shifting priorities “Self-starter” always looking to improve quality of process and deliverables and keen to take a lead role in that process

At Nectar, we’re busy building the best loyalty programme we can and getting to know our customers better than anyone else. With over 20 million Nectar users and over 5 billion Nectar points shared, we’re the market leader in delivering superior data analytics.  Although we’re a front runner, you won’t find the typical stuffy corporate culture here. We pride ourselves on encouraging innovation, autonomy and future thinking. All the things that ensure we continue to be ahead of the curve in a competitive environment.  Based on The Strand, we’ve ensured that our team are in the thick of it. In our hub you’ll find a fast paced, exciting, game-changing environment, basically all the great things you would expect to find in a start-up agency, but with the richest commercial data on the market at your fingertips. If you’re looking for an energetic environment where your talent can grow, we are actively recruiting for a Lead Data Scientist to join our Nectar family. You will: Play a critical role in the development of Nectar’s data science capabilities and the integration of this capability into the day to day operation of the business. Setting objevtices objectives and strategy for the Data Science team Be creative and apply your experience of data science to solve complex problems and develop innovative solutions across the Nectar business. This will include 1) the enrichment of our data asset; 2) improvements in the effieciency and effectiveness of our Nectar products and propositions 3) the application of data science to bespoke Nectar Partner and i2c clients challanges  Be autonomous in the hands-on delivery of advanced analytical projects including using all types of data sources (structured/unstructured) Distil these approaches and learnings into coherent user stories and present back to the relevant stakeholders across the business to identify commercial opportunities and maximise impact Provide hands-on technical advice and coaching to the wider team of data scientists, analysts and engineers on the application of data science techniques and spot opportunities to apply new techniques to improve exisitng approaches to problems You’ll need: Significant experience using and deploying Data Science An awareness  of how data science is being used in the broader market and opportunities to bring these techniques to bare in Nectar Loyalty A university degree (2:1 or higher) in a numerate discipline, a research degree in natural sciences, maths or computing is desirable. We mainly develop in python however, knowledge of any other programming languages (R, C++, Scala) applied to data analytics will also be considered Experience with Big Data technology, e.g. AWS, Hadoop, Spark, etc.  Experience with analytical and statistical modelling tools. Experience of using data to drive commercial and actionable insights for businesses  Proven success of collaborating with internal stakeholders and clients, supported by examples of driving projects forward and delivering to plan. Excellent communication skills with the ability to communicate technology and analytics concepts coherently and meaningfully to a non-technical audience. Comfortable working in a sometimes ambiguous environment with the ability to think innovatively and a passion for solving problems  Experience with SQL based databases (e.g. Oracle, MS SQL Server)