77 Data Management jobs

The Business Intelligence Reporting Analyst is part of a global team based in London, Manchester Dallas, Singapore and Bangalore. The successful candidate will be will be trained on the Markit EDM application and in the informational needs of modern financial institutions.   The role is dynamic and provides an incredible opportunity to build a solid career solving the data management issues of global top tier financial institutions. Role and Responsibilities: Writing SQL queries to pull data from databases for reporting purposes Using SQL Server Reporting Services (SSRS) to create internal and external bespoke reports Creating EDM components and processes to manage data for reporting or display on EDM User Interface Use AWS console to identify infrastructure information and assist with queries Collaborate with internal teams to gather requirements for new reports to provide technical support for implementations Provide monitoring and insight on a monthly basis of managed service change hours spent on client projects for notification/onward billing Monitor global support team key performance indicators and provide insight to regional and global team management Create dashboards both within EDM and third party tools for data visualisation of internal and client statistics Create PowerPoint presentations to be used in management meetings Assists with client on boarding processes within internal systems of the Managed Services team Retain client contractual information and assists with queries regarding managed service change hours and user allocation Update and maintain the Client Management system with the latest information of the client’s system state and allowances Manage and chair weekly client calls and report requests back to the business to ensure smooth flow of communication and support provided Skills and Experience: Candidate should be university degree level educated or equivalent with s trong business acumen An interest in the financial markets would be advantageous A natural, consultative style is essential to build client relationships and meet the evolving demands of a wide and diverse client base  Detail orientated. Excellent oral and written communication skills for effective, appropriate communication with both external clients at all levels and internal EDM teams Team Player and able to interact with product, operations and technical teams in a professional manner Strong time management skills 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 Current Colleagues If you are currently a colleague with IHS Markit please apply internally via Workday.

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.

Business Intelligence and Data Analysis team is seeking a Business Intelligence Analyst that will lead a wide range of projects ranging from traditional data warehousing and business intelligence projects, to intelligent alerting, near-real-time reporting , analytics and data visualization.   Job Background/context: Business Intelligence and Data Analysis team in FXLM is responsible for processing, researching and analysing global FXLM data both in-house as well as in comparison to the market.  We provide data, reports, interactive tools and solution proposals to all FXLM Citi Sales, Traders, Compliance Officers and Managers globally. Key Responsibilities: Main responsibilities will include researching current large data repositories and further developing tools for compact analysis and signalling. In this role, the candidate will work on a range of bespoke projects focusing on discovering patterns and establishing relationships in large data sets involving modelling, statistics, and database systems. The role will require a deep dive into all FX and IR asset classes, both on pricing and reporting side, researching external data sources, estimating the market value and seeking external/public data. Most, if not all, projects will require a good understanding of financial markets, trading venues, exchanges, market trends and local limitations/regulations. The candidate will work on a wide selection of databases (tech: SQL, Oracle, KDB, Sybase, Netezza) helping to integrate new data, re-architect processes and data flow logic, integrating new statistical models and optimising existing algorithms. Development Value: As the BI team is responsible for data analysis globally, the candidate will have an opportunity of interacting with all divisions of FXLM. They will work closely with Trading, Sales, Management and Compliance teams across most of Citi locations and across all asset classes. This position will also require a day-to-day cooperation with development team and other technology divisions. Qualifications Knowledge/Experience: Engineering /Mathematics/Statistics Extensive years of experience in a relevant field Very good  understanding of FX and IR products Skills: Statistics/Mathematics Programming: SQL, Python,  MDX Visualisation tools: Qlikview, Optionally: C#, C/C++,Java, MS Office. Qualifications: Engineering/Mathematics/Statistics degree Exceptional candidates who do not meet these criteria may be considered for the role provided they have the necessary skills and experience. Valuing Diversity: Demonstrates an appreciation of a diverse workforce. Appreciates differences in style or perspective and uses differences to add values to decisions or actions and organisational success. Citi is an Equal Opportunities Employer

We are looking for an exceptional technically-focussed Vice President to be a lead within the Equity Risk Derived Market Data group in London focusing on the build out of our new Market Data, Parameters and Pricing Platform (Cassini).  This role will be based in the Citi London Innovation Lab. This role will provide the ideal candidate a lead position in a transformational agenda to replace all of our legacy C# based marking and pricing tools onto a more contemporary stack utilising HTML5 / React front-ends and functional JVM based micro-services.  As a key part of the global Equity Risk technology team, you will have a leadership role in one of the largest initiatives within Equities and Security Services Technology (ESST) being supported jointly by the Equity Derivatives and Delta One businesses globally This is an outstanding opportunity for the right candidate to define themselves as a core contributor to the Equities investment strategy and set themselves up for a long and successful career at Citi.  The successful candidate will be a driving force behind the build out of the new platform and have responsibilities around migration of existing functionality. The candidate will be required to work with front office sales and trading, quants as well as counterparts in the middle office and finance, managing requirements and work-loads across the relevant clients. Key Responsibilities: Hands on and passionate technical lead who can turn requirements into a detailed design, building consensus within the team and delivering to committed timescales Leadership responsibilities within the team including hiring, mentoring, and fostering a culture of engineering excellence Can apply expert knowledge of Java / Clojure and distributed computing to large scale real-time data processing problems Can apply expert knowledge of RDBMS / NoSQL / time-series / graph data-stores Build and deploy applications on Cloud and Linux platforms Ensure Citi Markets and Security Services Technology Development Standards are being met Drive adoption of recommended common development tools within ESST Data team Qualifications Essential Skills Excellent development skills in Java, preferably functional Java and experience in either Clojure / Scala / Kotlin Proficient working with HTML5, JavaScript/TypeScript/ClojureScript and Web frameworks such as React or Angular Experience using state management frameworks like Flux, Redux or Reframe and knowledge of CSS or CSS-based frameworks Experience of Relational and NoSQL Data platforms Experience of working in a Front Office environment Strong knowledge of Agile development methodologies Proficient in Multi-threading and Parallel task programming. Demonstrable experience of applying TDD and BDD development practices Understanding of SOA principles, micro services and experience developing Rest APIs Demonstrable understanding of concurrent and distributed design patterns and system architecture Desirable Skills Experience of contemporary distributed event processing platforms (Storm / Samza / Akka) Experience of C++ / C# / Python Experience with Confluence, JIRA, GIT and/or Bitbucket Experience in TeamCity automated build tools Experience with SonarQube Experience of Equity Derivative Products and Market Data Exceptional candidates who do not meet these criteria may be considered for the role provided they have the necessary skills and experience. Valuing Diversity: Demonstrates an appreciation of a diverse workforce. Appreciates differences in style or perspective and uses differences to add value to decisions or actions and organisational success. Citi is an Equal Opportunities Employer

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

AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're proud to have a rare workplace culture that encourages innovation and partnership, employees are empowered to express different perspectives and are made to feel valued, energized and rewarded for their ideas and creativity. Department – Data & Analytics, S&EUIT Science and Enabling Units IT is a global IT capability supporting Drug Research, Drug Development, Product & Portfolio Strategy, Medical Affairs, Finance, HR, Compliance, Legal and Global Business Services. We are organized around 7 key capability areas: Business Partnering, Solution Delivery, Architecture, Application Support, Data & Analytics, Change & Operations, operating out of sites across the US, UK, Sweden, India and Mexico. Data & Analytics provides analytics and data insight services and solutions critical to the Data & AI/ML emerging strategy and mission of S&EUIT and AZ. D&A is organized into teams specializing in Information Architecture, Data Engineering, Visual Engineering, Knowledge Management, Data Science, Data Analysis and Information Governance. Role The role holder should deliver tangible and measurable value to S&EUIT partners by taking a data analysis role in the delivery of the major D&A solutions. The primary task will be to design and build Global Medical Excellence(GME) end-to-end reporting support system that helps demonstrating execution of clinical strategy. You will be responsible for (i) identifying the source data sources and objects in existing reporting systems; (ii) build mapping and models from existing data sources; and (iii) validating the mappings and models from data hubs by further devising metrics effective in analysis and reporting clinical strategy. Key will be profiling the data to understand data format and quality. Once the data is understood and documented, the data analyst will work closely with Information Architects in crafting the target state model, Engineers in crafting any ETL required, and BAs/business data stewards on quality issues which will be a blocker to the analytics requirements. The DA will be an integral and respected part of the global team, whose input and expertise will be instrumental in ensuring the success of this delivery. The role will invariably be one of a ‘data detective’, understanding where data is in the estate, the suitability of the data to the problem in hand, the restrictions on using that data and documenting to enable re-use. Key Accountabilities Provision of data understanding (structure, provenance, quality) to Info Architects, Data Engineers and Data Scientists to support use in D&A projects. BI or regular reporting experience – demonstrable experience of using data to track and then drive business performance. Evidence that they have built a validated understanding of source systems. Strong SQL skills – especially building customer reports / solutions. DML (Data Manipulation) statements are the priority – it’s an analytical role, not a DBA. Any modelling / data warehouse design experience also a bonus. Work with business & IT partners to understand data requirements in projects Documentation of data in the S&EUIT data lake to support downstream use (Data Dictionary curation) Support the design & testing of conformed data models in downstream analytics applications Support the data preparation, curation and analytical pipeline Testing of data in analytics applications, to ensure data validity and reconciliation to source systems Support the design of data structures for archiving, to optimise both ingest and extraction of data from the archive. Expect the development of domain expertise in sub-domains of the Science & Enabling Unit portfolio – understanding of business process, data flows, data provenance, data restrictions and data use. Support data impact assessments of service or project driven changes to systems. Make recommendations for improvements in our data services, enabling improved data access. Any Salesforce/Veeva experience would obviously be useful but not a requirement provided you can demonstrate the points above. Matrix capability leadership of data analysts offshore – supporting methodology, standard methodology, continuous evolution of capability. Candidate Knowledge, Skills and Experience BI / D&A Data Analysis experience Ideally some domain knowledge (processes & data): Pharma R&D and Clinical WorkflowExperience of working with a range of BI & analytics architectures: traditional warehousing, curation, data mapping, and validation of reporting generated. Experience with & knowledge in key D&A Tools used within AZ: ANSI SQL, Talend Metadata Manager, Talend Data Preparation, Excel VBA Experience with & knowledge of broader base of D&A tools which maybe required: Spotfire, Talend Data Services, AWS Aurora, Redshift, Glacier, Informatica Powercentre, Informatica Data Quality, Informatica MDM, SAP MDM / MDG, Oracle DRM, Cisco CIS, SAP HANA/other appliances/MPP technologies, (etc) Experience and familiarity with Information Architecture models and artefacts. Experience of working with data scientists and their methods: understanding of how data needs to be prepared for use by data scientists. Experience of delivering D&A Solutions within IT projects delivered through Agile and Waterfall methodologies. In addition, you will be expected to demonstrate the following Leadership Skills Business Leadership – ability to partner and collaborate across both IT and Science teams to inform on the best Information Architecture. Attention to detail Influencing and innovation skills Superb communication and facilitation skills AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.

AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of most serious diseases. Our growth platforms are doing deeply well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world. At AstraZeneca, we're proud to have a workplace culture that encourages innovation and teamwork. Our vision of a phenomenal place to work is one in which all our employees are engaged and driven by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes. Role As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions. You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists If you would like to discuss flexible working or part-time working, we would be happy to hear from you. Location: UK(Cambridge), US(Gaithersburg), Sweden(Gothenburg) Key responsibilities Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions. Direct a team of data and reporting engineers focused on developing groundbreaking visualisation and computational capabilities for our big data platform. Be hands on within the scrum team on a day-to-day basis, continually inspecting and crafting the backlog in response to the changing business requirements or technical discoveries/POCs. Challenge the norm, and push the team to forget the easy route and go after the impossible. Lead technology processes from concept development to completion of project work you're doing. Desirable technical skills & experience Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark), Experience of ETL techniques and tools (we currently use Talend for ETL), Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI), Experience of building scalable high availability analytics solutions, Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL), Experience of building unit tests, integration tests, system tests and acceptance tests, Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git), Experience of data analysis – profiling, investigating, interpreting and documenting data structures, Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema), Agile practices, especially being a SCRUM Master, AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.

A unique, multinational company are looking for strong Machine Learning engineers and Data Scientists to join the team in Oxford. The company are utilising AI and novel machine learning algorithms to change the way we diagnose and deal with our wellbeing and mental health.They are currently working with some of the biggest names in insurance to find the key to improved wellbeing, and AI is going to be at the heart of it by finding patterns that link stress to health risks. Essential skills for Data Scientist: MSc or PhD from a top University Strong experience with R analytics package Experience with Machine Learning or Deep Learning algorithms A track record of Bayesian statistical modelling This is a great opportunity to join at the ground level in the analytics department, with a true potential to lead the team of strong data scientists and machine learning engineers. Location: Oxford Salary: Up to £60,000 (DOE) For more information on this position apply directly to this advert or drop me a call/email and we can discuss in more detail. Jacob Moore – j.moore@reqiva.com – 01189595552

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.

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.

Rovco’s mission is to change the way the world surveys subsea and we are becoming recognised as a global leader in subsea 3D vision and applied AI. We are a fast-growing subsea robotics company focused in the renewables and offshore decommissioning sectors. We are advancing the state of the art in subsea robotics by developing the technology for live 3D vision and machine learning based data analysis. We’re based in Bristol, which is regularly praised as one of the top places to live. Bristol is a culturally vibrant city with great transport links without the expense of London life. The growth of Artificial Intelligence opens up unique opportunities in subsea research and we are looking for people who are passionate about experimenting, testing, developing and deploying new concepts. Are you an individual that: Wants to make a difference in a fast-growing environment Wants to work with talented and innovation focused minds Has a creative approach to solve technical challenges Has an interest in discovering the offshore and renewables industry Is interested and experienced in machine learning, artificial intelligence, computer vision Is a passionate technologist with impressive programming abilities. Then please read more about the role below. The Role We’re looking for bright engineers ideally with at few years working experience upwards to join our R&D Team. The successful candidate will play a key part in improving our core product and investigating new applications of ML and applied AI. This is an excellent opportunity for those who have strong programming capability and a deep interest in innovative use of AI. You would build subject matter expertise in your area and stay up to date on technological developments. Design, research, re-engineer, prototype, build, implement, integrate, test and deliver computer vision and machine learning architecture/technology. REQUIREMENTS Candidate profile Experience with one or more general purpose programming languages including but not limited to: C/C++, Python or JavaScript Strong background in Deep Learning and Computer Vision. Experience in applying deep learning in frameworks like Tensorflow to real data and real problems. Understand technical challenges and devise strategies to overcome them Have demonstrable knowledge of AI techniques You have achieved excellent academic results from a leading university or can demonstrate some serious skills. You want a career where your creative abilities will make a difference to the world of technology and be part of an impressive R&D environment. You should show a passion for computer vision, machine learning, artificial intelligence or deep neural networks and follow the latest developments in these rapidly evolving fields Experience with computer vision, in areas such as advanced image processing, feature and object detection or face recognition Desirable Skills and Experience Comfortable using the command line Firm grasp of the fundamentals of Linear algebra Python/C++ coding skills Experience developing AI Rounded knowledge of Machine learning algorithms (clustering, classification, pre-processing data etc.) Experience using ML libraries, such as scikit-learn, caret, mlr, mllib Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras. Permanent and unrestricted right to work and remain in the UK Writing and testing production code, working in teams. Evidence of developing reasonable complex software from scratch, or leading/architecting development (in contrast to just working on existing code bases following other’s direction) Nice to haves PhD in relevant area Developing on linux, OpenCV Experience with object detection/image segmentation SLAM – ideally vision based, multi-view geometry, 3D reconstruction, SFM, Experience with camera calibration, sensor fusion – e.g. Kalman filters, perhaps visual inertial odometry CUDA programming experience 3D visualisation experience Web development experience, e.g. web apps for visualisation or using cloud computing for data processing. Public work you can point to – papers, Github, shipped software etc. Hands-on robotics (particularly field robotics) or embedded systems experience. BENEFITS Relaxed, R&D environment with a mentorship rather than management style Be a part of a rapidly growing and diverse company Opportunity to work on an innovative idea in the renewables and decommissioning industry using cutting edge technology Competitive salary 25 days holiday plus bank holidays Generous pension scheme In-house Gym Sponsorship to attend relevant worldwide conferences and trainings Freedom to come up with new ideas Great working environment in central Bristol Flexible working hours

AstraZeneca is one of the world’s most exciting bio-pharmaceutical companies. From scientists to sales, lab techs to legal, we’re on a mission to turn ideas into life-changing medicines that improve patients’ lives and benefit society. We’re constantly moving forward as a company – agile and purposeful in our work. We are currently recruiting for a Global Head of Data Engineering, within our Data and Information Engineering (D&IE) team. The Data and Information Engineering team is responsible for the creation, implementation and refinement of delivery standard methodologies for data and Business Intelligence (BI) applications across AstraZeneca. With user self-service as a main objective, D&IE works with industry guides to keep tabs on data technology advancements and develop a roll-out strategy which includes adoption and training. Data solution governance across the Enterprise Data and Analytics (EDA) programme in partnership with global and local stakeholders, is fundamental to our remit. About the Role Collaborating with the Head of IT Data Enablement, the D&IE Lead is accountable for designing and delivering AstraZeneca’s and ensure the propagation of knowledge as well as implementation of standards. This role is focused on delivery of data management and business intelligence solutions for improved data operations while building strong relationships with data partners. The role requires an inquisitive and innovative approach to solving information management and data technology issues. You will lead the D&IE team in all its activities and provide mentoring and guidance on data engineering to the team members; You will be responsible for the design patterns established and used across the enterprise, leads the central repository of reusable DI components. You will ensure CFIT projects are maximizing the use of existing DI components in CFIT projects Lead the development of the strategy, delivery framework and training practice for improved and frictionless data operations; You will lead the creation of a centralized management function to administer the ingestion, MDM, and curation processes into the enterprise and CFIT data lake environments. Develop and lead practices, standards and guidelines; Develop an information access practice to support business understanding of data assets and how it can be applied to achieve business goals; Establish data engineering performance metrics for tracking the quality and efficiency of data solutions and continuous improvement Partner with enterprise architecture and other meaningful technology groups for developing road-maps and necessary delivery governance practices to enable business goals; Provide data and business intelligence expertise to business partners for annual work programmes and long-term business objective realisation; You will Partner with the Data and Information Governance team to ensure that data governance standards are adhered to in all data and business intelligence solutions; You will lead the team and partner relationships to effect development and implementation of data management practices; You will lead the data engineering solution forum demonstrating the required leadership to increase the business value of data and information assets; Assist the Head of Data Enablement to: Reduce the cost and improve the efficiency of data solutions and build an elite data practice; Partnering with the business to continuously improve data delivery and data asset utilisation; You will partner with the business and D&IG to demonstrate / implement data search capabilities and metadata solutions; Lead efforts to optimise the data management and business intelligence landscape. Deploy tangible, business enhancing solutions demonstrating Agile methodologies Skills and Knowledge - Essential Possess a blend of experience in good information practice and business processes; Experience of global working environment and leading across cultures Experience in industry data innovations and technology agnostic data engineering practices Experience in the development and optimisation of information management delivery practices and data architectures Evidence of leading and developing innovative solutions Experience with developing global data practices and partnering with stakeholders to implement these practices Experience of leading data solutions architecture and implementation across a wide range of on premise and cloud solutions Experience leading multi-stakeholder solutions forums, representing multiple business units across multiple countries Experience in collecting complex business requirements translating into data solutions for meeting business needs Solid grasp of data governance and metadata practices Validated social, communications, assertiveness and negotiation skills Strong leadership and interpersonal skills at all levels Influencing skills to enable effective management of internal partners Demonstrable record of success in process and/or project management Validated change management skills Evidence of critical thinking, goal setting and delivery, and long-range planning Experience in leading delivery-focused high performing teams, providing strategic direction, leadership and motivation Experience in developing Data and Information delivery standards / information management delivery frameworks, rules, standards and guidance Experience with the implementation of data standards in data solutions Expert knowledge of data and information engineering System Development Life Cycles (SDLC), data governance, Information Life Cycle Management (ILM), Master Data Management (MDM), and data security standard methodologies including policy-driven data security methods and tools Authoritative knowledge of electronic records rules and regulations, applied to information management practices in the pharmaceutical industry or similar global, regulated industry Knowledge of data taxonomy and metadata management implementation practices and tools Ability to influence and persuade subtly, to obtain desired outcomes while maintaining effective, positive, organizational relationships You will have confirmed leadership ability motivating and empowering others to accomplish individual, team and organizational objectives Ability to work with multi-functional working groups across multiple countries Proven record of team leadership, capability building and ongoing development University Degree in IT, Business Administration, Information Science or related discipline or extensive experience in information related role at a leadership level Skills and Knowledge - Desirable Experience in establishing global centres of perfection in the information management related field Ability to lead expectations and solutions across complex groups Experience leading data solutions and data architecture teams Validated ability to explain in a simple way, complex/technical concepts to business leaders Experience creating and delivering training and education Experience of business process analysis and improvement, preferably on global scale Implementation knowledge of data quality data governance solutions AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or reassignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law

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.

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

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

Are you passionate about using data to drive evidence-based decision making? Can you work with sizeable datasets and manipulate them in a logical way to elicit insights with clarity? We are looking for a data scientist that thinks in a clear and organised manner to help us tackle challenging business problems with data and a mathematical approach. The right candidate would be able to work under time-pressure, generating accurate and complex analysis. The ability to explain complicated concepts to a lay-person would be a key trait and thinking creatively about problem-solving would be critical to the role.    Overview     The Unilever People Analytics team is a   pioneering group of statisticians, data scientists and visualisation experts that utilise advanced statistical techniques to analyse our HR, financial and survey data.  The role encompasses discovering and rationalising historical patterns in large data sets, developing predictive models, creating automated data solutions and researching machine learning techniques that are proprietary to Unilever. A component of the role involves evaluating the quality of artificial intelligence in the external applications that HR are looking to deploy, and working with those HR teams and vendors to improve the effectiveness of those models.     What we are looking for    We are seeking a candidate that can work with speed and accuracy, looking to apply their problem- solving, mathematical and programming skills to business questions through a people-lens. The successful candidate would be able to demonstrate a thirst for learning and a passion for using data to generate insights. There will be frequent and varied opportunities to develop your business acumen and present complex analysis to senior business leaders. Projects are very varied and require a combination technical skills as well as an understanding of the business context. Mentoring team members in the application of analytical techniques will be a core requirement.  A mature attitude to developing relationships with multiple stakeholders, and tenacity to drive projects forward to tight deadlines and the ability to solve problems on your own will be the key to your success in this role. Experience working in a similar capacity would be advantageous to your application although no prior HR experience is needed. Success will be defined through application of your analytical techniques to this new and exciting area.   Technical Skills and Qualifications A 2:1 or above from a recognised university in a quantitative subject. A demonstrable passion for machine learning / data science or statistics is crucial. A comprehensive understanding of most of the following would be expected: Generalised Linear Models, CART, Random Forests, Clustering, Principal Components Analysis and Network Theory. Experience of Neural Networks would be a plus, but not essential. Knowledge of at least one statistical programming language such as R/ MATLAB/ Python would be essential as well as good working knowledge of SQL. A willingness to transfer your coding skills to R would be looked upon favourably.  APPLICATION PROCESS    Online Application >> Face to Face Interview/s >> Job Offer  Please note: As part of the job application, you will be asked to complete a brief online application form. Completion of the form is required in order to be considered. Please allow yourself enough time to complete the application form as when filled out partially or not at all it may adversely affect the progress of your application. Please be aware that you will have to complete the form at once as you will be unable to return to it later.

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!