46 Data Engineering jobs

Progression opportunity, SQL Server, Admin, Data Analysis, BI, ETL, SQL DBA A SQL Database Administrator is required to join an Agile development team based in Southampton, offering a collaborative environment, flexibile around working hours, scope for progression, modern offices and a strong benefits package. The role would focus on the companies SQL databases, so SQL database admin or analysis experience is essential, with a clear path into SQL Development. The company offer innovative backend software solutions and this role would focus on administering, developing, managing and optimizing the company's SQL databases. The company heavily promote training and progression internally and would be happy to consider candidates from Data Analyst or DBA backgrounds who are keen to build on some existing SQL skills and move into a SQL developer / Database developer position. Essential experience: SQL Database administration experience Data analysis SQL Scripting skills Understanding of ETL processes Degree educated Any experience in the following would be advantageous: Knowledge of BI; SSIS, SSAS, SSRS SQL 2017 Microsoft Azure .Net programming skills The company are based in Southampton and offer a salary based on experience from £33,000 - £45,000 + benefits. To be considered for this great opportunity please apply to this advert, contact me via LinkedIn or our Website. Paul Grace, SpectrumIT All candidates applying must be eligible to work in the UK.

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!

What you will be doing: Key responsibilities As a Data Engineer, your role will encompass: Conducting ambitious projects in the transformation of clients through data Collaborating with 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 Among your responsibilities as a Data Engineer, you will be responsible for: Performing data projects Securing delivery on your projects Communicating the success 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 Ensuring that your solutions are bringing values to the client problematic Being a good team player, knowing your role and responsibility in the global ambition Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring Being a great tech person 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 Experience working with Big Data technologies such as Hadoop, Spark, Kafka… Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment) Being able to adapt your solutions and approaches to technical environment (security, access, tools) Qualifications :Education and Experience Bachelor’s degree in computer science, computer engineering, or related fields 1+ years of hands-on experience developing and applying data-driven solutions Strong experience and knowledge of computer science, data processing and data architecture Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact Experience in designing Data Integration / ETL Experience with Python, Linux, SQL, Cloud infrastructure and Docker Experience with Spark, BigQuery/ Redshift, Devops and Javascript is a plus

IHS Markit Financial Risk Analytics delivers enterprise risk solutions to some of the largest firms in the financial services industry, and is part of IHS Markit, a dynamic entrepreneurial company listed on NASDAQ. IHS Markit is currently investing in their technology platform to develop a number of new revenue generating products, leveraging open source and big data technologies. These include new visualisation, risk aggregation and smart data initiatives that address new data, risk and regulatory requirements and are highly visible and strategic within the organisation. These initiatives are using best of breed technologies, such as Hadoop, Spark, HDFS, HBase, Cassandra 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. Position summary We are currently extending our offering to include a risk factor utility. The risk factor utility will initially be focused on FRTB but will leverage the latest technology to be highly interactive and configurable to have application across many regulations. Under FRTB the bar for achieving and retaining model approval has been raised very significantly and the amount of capital will be much more sensitive to modelling choices and data quality for historic time series. The utility will support banks in their capital modelling by offering time series collection, cleaning, modelling for delivery via software as a service and will incorporate data from the other divisions of market such as CDS. We are looking for a Technical Business Analyst who will be the vital link between our information technology capacity and our business objectives by supporting and ensuring the successful completion of analytical, building, testing and deployment tasks of our software product’s features. Duties & accountabilities Work with clients to configure and use our tools for scenarios generation and capital analytics Design, build and update mock-ups / prototypes of the product based on requirements and workshops Sanity and component testing of new features during the development phase & review of test plans. Capture detailed business and functional/non-functional requirements from existing systems, SME interviews and workshops. Own and develop relationship with customers, working with them to optimize and enhance our integration Business competencies Education and experience Talented developer with strong interest in acquiring business knowledge or experience working as a technical business analyst within a data driven environment such as Fixed Income or Market Risk University degree in a quantitative subject Experience of at least one programming language preferably Python but R and SQL also considered Business awareness Must have experience in technology projects Understanding of financial markets, financial instruments and risk practices is desired Expertise in market risk & counterparty risk measures and product valuation across all asset classes desired Experience with market data time-series derivation and governance, or market data analysis tools (e.g. Asset Control) desired Management requirements Experience in managing and delivering successful and complex technology projects Excellent teamwork and interpersonal skills 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. You can effectively communicate with external clients 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). Current Colleagues If you are currently a colleague with IHS Markit please apply internally via Workday.

Markit DeltaOne is seeking a senior product design analyst to join our buy-side system build team.  The role is based in Bracknell and provides a great opportunity to be involved in building a new data management and processing system for financial services buy-side clients. There will be a strong focus on efficiently processing data from a variety of external data sources, but all supplied via a single service API. Performance is key as data must be processed and validated and made available to clients in a short timeframe. Primary responsibilities are to build and test business data processing libraries, using Python; and produce corresponding written documentation. Additional responsibilities will be day to day dealing with data challenges and any product/service queries. A successful candidate will use good software development knowledge and an evidence-based methodical approach to problem-solving. They will be experienced in using Python that delivers business functionality and that is reliable, performant, and relatively easy to maintain. They will also be a strong communicator, acting as a liaison between non-developers such as product/client support and developers to understand the former needs and requirements and assist the latter with implementation. They will help to address any uncertainty or concern and facilitate successful release handover. Duties &   accountabilities Design and implement business data processing components Contribute to or enhance shared libraries that are part of the system Implement component tests for maintaining quality Document processes and data flows Collaborate with support and development teams to ensure the accuracy of calculations and methodologies across components Business competencies Education and experience Highly proficient in Python (and SQL?) with at least 2 years commercial experience therein, and at least 5 years in client services and/or business analyst role. Degree educated, preferably in Maths, Commerce, Economics, Science or Computer Science Experience with batch or set-based data processing Experience in financial services Commercial awareness Good knowledge and understanding of financial assets, at least equity and fixed income types. Knowledge in market index data would be highly beneficial Knowledge of performance & attribution would be beneficial Experience with using data from external providers Personal competencies Personal impact Ideal candidate should be bright and dynamic and possess the resourcefulness to create and meet their own objectives in delivering excellent business logic software Prepared to potentially operate as part of a global team Attention to detail and innovative problem-solving skills Able to operate effectively under pressure. Communication Strong written and verbal communication Strong interpersonal skills Clear communicator able to easily adapt style as needed Teamwork Highly motivated, disciplined, confident and a team player Ability to adjust to shifting priorities is a must 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.

McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport. Our team As a part of our Modelling and Decision Sciences function, you will build the modelling components that underpin our data-driven products and solutions from research and design, prototype and validation, through to deployment. You will work as part of cross-disciplinary teams alongside software engineers, systems engineers, and designers. You will also contribute to our core technology platforms for data and model management, as well as pushing forward our capability in our three key areas of Modelling and Decision Science: modelling insight, optimisation and control. The role This is an exciting opportunity to join our ConditionInsight portfolio team. In this team we develop condition monitoring solutions across public transport and automotive applications. We are looking for someone who has an appreciation of both simulation-driven and data-driven modelling to understand the behaviour of physical systems. You could be developing machine learning anomaly detection algorithms to identify unusual behaviour of mechanical systems, building predictive maintenance solutions driven by physics-based models, fusing sensor-based telemetry data with contextual information about a system such as maintenance logs, or using parameter estimation techniques to tune models based on a system’s behaviour. You will be motivated and excited by delivering impactful solutions into the hands of end-users, and also curious and passionate about cutting-edge technology. Principal accountabilities Identify and develop core analytical components for delivery of products Plan and lead development of analytical solutions from design through to implementation and testing Own an area of technical specialism within the team and drive forward best practice and development in that area Mentor other team members and contribute to the continuous improvement of the team Act as technical lead on team-specific projects, and as functional lead on cross-functional projects Drive the improvement of team processes by taking a lead role in team activities such as project estimation, code reviews and retrospectives Identify the 'right tool for the job' for different tasks, including technical and commercial considerations Manage interactions with other functions in the company, and provide technical input to proposals/commercial activities Engage and influence key stakeholders in making recommendations on technical approaches, data or tools Knowledge, skills, qualifications and experience BSc/MSc in Mathematics, Physics, Mechanical/Control Engineering, Computer Science, or other numerate discipline. Demonstrable experience in using physics-based modelling to understand the behaviour of physical systems. Demonstrable experience in developing models based on time-series data. Proficiency in at least one of Python or MATLAB, including good software practices (clean code, version control, unit testing). Desirable: Experience in writing object-oriented code. Demonstrable technical expertise in applying data science/machine learning approaches to engineering challenges. Experience with some of the following: Distributed processing technologies (e.g. Spark, Dask) Messaging technologies (Kafka, MQTT) Cloud deployment of algorithms (e.g. AWS, Docker) Proficiency in text mining/natural language processing, Expertise in condition monitoring/predictive maintenance applications. Values and behaviours Demonstrates a collaborative approach by sharing information and ideas openly with others. Demonstrates a strong desire to learn new approaches and ability to learn – act – reflect. Helps others to learn by sharing knowledge and experience and demonstrating skills as needed. Passion for innovation and excellence. Respects different views and opinions and takes time to understand other perspectives. Where differences occur, the ability to tactfully challenge. Demonstrates personal ownership for delivering their role, their learning and their career, but also will seek out support when required. Work environment You will be based in our London offices which are designed to offer the best possible environment to our Software & Analytics teams. There may be occasional travel to the world-famous McLaren technology Centre. Recruitment process If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters. If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge. This will be completed in your own time. If you are successful, you’ll then be invited for a phone interview with one of the hiring managers which will include technical questions relating to the job role. The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.

This AdTech company, in the media arena, can proudly claim to work some of the biggest and most loved brands in the UK and is looking to better utilise its data assets for commercial gain. They have direct access to a broad portfolio of datasets and a culture of fast-paced technology delivery thus are seeking a Data Engineer to help them build and operate large-scale data pipelines that are capable of withstanding their growth ambitions.  Role & Responsibilities  You’ll be working within the Data Team, who currently provide data and analytics to many teams across the organisation.  Assist the team to expand their Big Data analytics and streaming capabilities.  Manage increased throughput and complexity.  Help set the direction for how data pipelines are built and deployed in general.  communicate with a range of technical and non-technical stakeholders around the business  Keen to try new technologies and concepts  Experience & Skills Required  Demonstrable experience as a data or software engineer in a highly scalable environment such as messaging or streaming highly desirable.  Have experience in designing, building and launching highly available, distributed systems of data extraction, transformation and loading of datasets  Confidently monitor data reliability and infrastructure performance  Undertake agile methodologies and continuous delivery alongside large-scale streaming data (Kafka, Kinesis, etc.)  Proficiency of the following advantageous:-   Cloud services (ideally AWS)  Programming languages (Python, etc.)  Big Data systems (Spark, Hadoop, Pig, etc.)  SQL databases (Relational, Snowflake, etc.)  Structured or custom ETL management (Airflow, Luigi, etc.)  If you fit the above job description, please contact Teresa Cheeseman or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.  Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Join us on our exciting journey! IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward. Our Predictive Analytics team within the Real World & Analytics Solutions (RWAS) Technology division is a fast growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our never-ending quest for opportunities to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s advances in areas such as machine learning and cutting-edge statistical approaches. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools. We are looking for a creative, innovative, intellectually curious and entrepreneurial Senior Data Scientist / Machine Learning expert to join our team. This is an exciting opportunity to be part of one of the world's leading RWE teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results. The team You will join this high profile team to work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases such as diabetes, and a variety of very rare conditions. The Predictive Analytics team work hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWE Solutions team, leveraging a vast variety of anonymous patient-level information from sources such as electronic health records. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers. The role This is an exciting role for a subject matter expert in Machine Learning who is keen to lead, shape and grow a high profile and highly motivated Data Science team at the cutting-edge of life science. The primary focus of the role is to design and oversee the delivery of machine learning projects, such as developing algorithms to find undiagnosed patients with rare conditions. Most projects have an important research component, so a strong academic background is essential (the role includes opportunity to publish and participate in academic conferences). In addition, there is scope for development in other key areas: Product Development - Working closely with software engineers, system architects and data scientists to build automated and scalable routines / libraries Business Development - Supporting business development initiatives, including technical support for client pitches, proposal writing and thought leadership (includes publications, presentations at academic conferences, client workshops, etc.). At IQVIA we appreciate and nurture individual talent. Therefore, the exact blend of responsibilities and individual career development will in part depend on the skill set and aspirations of the successful candidate. Our ideal candidate: Experience PhD and peer-review publications involving machine learning Extensive experience leading the design and delivery of advanced machine learning projects in the commercial sector end to end with proven delivery capability including capturing requirements, designing analysis plans, interfacing with clients and writing reports / manuscripts. A proactive, innovative and pragmatic approach to problem solving and an ability to think critically and independently. Excellent written and spoken communication skills, including ability to present technical concepts to lay audiences, write analysis plans for projects, contribute to proposals / grant applications, pitch ideas effectively and persuasively to clients / internal stakeholders, etc. Flexible and adaptable in a client focused, results-driven environment. Our ideal candidate: Tech Skills Excellent knowledge of supervised machine learning methods, such as regularized regressions, ensemble tree classifiers (e.g. xgboost), Support Vector Machines, Neural Networks, etc. Strong programming skills in Python and/or R. Experience with Spark or Scala is beneficial. Solid understanding of best coding practices and version control software such as Git, ability to write clean and efficient code and a good understanding of the data science package landscape. Bonus points for: Knowledge of epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilization, etc. Knowledge of healthcare / life science issues involving Real-World Evidence (RWE). Experience with patient-level, longitudinal data. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™

Pharmaceutical Sciences   at AstraZeneca is developing a   digital transformation   strategy to drive innovation, optimization of the drug development process and   data-driven decision making . We are now recruiting two highly skilled and motivated scientists to specialise in   the application of artificial intelligence (AI) and machine learning (ML)   in the Early Chemistry Development (ECD) function within the Pharmaceutical Sciences function. One role will focus on   synthesis planning   and one role will be a   data scientist in process design . At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. The Pharmaceutical Sciences’ mission is to transform molecules into investigational medicines, meeting the unmet needs of future patients. Our portfolio of projects covers all AstraZeneca’s therapy areas, spanning traditional small molecules, proteins, oligonucleotides and RNA based therapeutics. The ECD group is a multidisciplinary function comprising chemistry, analytical, biopharmaceutics, solid state and predictive sciences. We provide input into compound design & selection, as well as API route and process design from discovery up to and including Phase II clinical studies. As a Senior Scientist/Associate Principal Scientist within the Computational Pharmaceutics team, you will lead scientific development in one of following areas. Synthesis planning:    Developing synthesis planning approaches for route selection and process design using AI & ML approaches.  This role is focused on reaction optimization and route design to support drug development. The role will exploit internal and external databases to develop route selection workflows optimized for AstraZeneca chemists. The role is placed either in Macclesfield (UK) or in Gothenburg (Sweden). Data scientist for process design :    Working with the Pharmaceutical sciences community to adopt a data-first culture, recognizing opportunities to utilise AI & ML to generate knowledge and innovation and work alongside scientific experts to design projects to optimize underlying data structure. The role will focus on data extraction, analysis and capture strategies to support data-driven decision making. As the lead Data Scientist in ECD you will maintain awareness of state -of-the art applications of AI and engage with AZ leadership to design and influence strategic decisions. The role is placed Gothenburg (Sweden). Major Duties and Responsibilities In these roles, you will work across the Global Pharmaceutical Sciences departments along with other senior scientists to   pro vide scientific leadership and drive innovation. You will be responsible for engaging with key internal and external stakeholders to identify and validate impactful solutions, through the use of machine leaning, data analysis and statistical techniques. You will be at the forefront of the digital transformation within AstraZeneca and drive the development of the digital transformation Pharmaceutical Sciences strategy. Specific responsibilities include: You will work in chemical development projects, and platform capability teams to identify opportunities to deliver solutions using machine learning, advanced data mining and predictive modelling. Develop novel algorithms, techniques and curate datasets to answer relevant drug development challenges. Impact chemical development projects by efficiently and pro-actively applying machine-learning to route and process design challenges. Establishing academic collaborations to access and drive the development of machine learning to process chemistry. Represent Pharmaceutical Sciences modelling and simulation externally to drive scientific excellence and AstraZeneca’s reputation in the field. The candidate will be expected to plan, write and publish high quality scientific papers. Act as a role model and mentor to scientists with less experience in machine learning and champion FAIR data practices. Develop training material and provide training to AstraZeneca user groups. Requirements PhD in a relevant area e.g. machine learning, computational chemistry, computer science, data science, mathematics or similar and typically with post-doctoral experience. Programming proficiency and experience with relevant software tools such as Python, R or similar), version control (Git/Bitbucket) and database tools. Excellent awareness of recent literature within field of expertise and relevant publication record. Good track record of professional achievement and recognition in own field. Understanding of pharmaceutical R&D and the wider business. Able to think beyond boundaries of own job, challenging status quo and seeking opportunities for business improvement. Capable of making effective decisions, acting courageously and communicating with conviction and inspiration at all levels. Excellent team working, networking, communication and influencing skills. Specific technical requirements Synthesis Planning: (i) Detailed knowledge of a chemoinformatic toolkits, (ii) University level of chemistry will be a minimum requirement. Data scientist for process Design: (i) Broad experience in data science, statistics, data models/structures, machine learning and AI. (ii) A foundation level knowledge of organic chemistry is desirable. If you are interested, apply now! For more information please contact recruiting manager   Anders Broo , PhD on +46 722 108177 Welcome with your application no later than   April 14, 2019 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.

At AstraZeneca when we see an opportunity for change we seize it and make it happen, because an opportunity no matter how small can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognising their potential. The vision of AstraZeneca Oncology is to redefine cancer, redefine our solutions to cancer, and restore patients' lives.  The   Oncology Bioinformatics   group work within cross-disciplinary drug project teams throughout the discovery and translational pipeline, specializing in NGS and multi-omic data analysis to drive new target discovery, pre-clinical and clinical research.  Excitingly the group is continuing to expand to harness diverse data science within our research, spanning probabilistic and   mathematical   modelling techniques,   machine learning , artificial intelligence (AI), knowledge graphs.  We have a fantastic opportunity for a talented and motivated individual to join the team and apply their mathematical skills to drive innovation in our portfolio, working alongside resident domain expertise and the burgeoning data science   community   across AZ. Main duties and responsibilities: Collaborate with drug project bioscience and translational scientists to understand their scientific and technical challenges and identify where data science can best impact. Collaborate with IT and quantitative science teams to devise innovative data science solutions. Draw actionable insight by developing and implementing ML/AI and mathematical techniques to big data spanning clinical genomics, pre-clinical assays, and published knowledge. Build models predicting new drug targets, biomarkers, and drug combination mechanisms. Publish and engage the AZ and external data science communities. Proactively engage in knowledge and code sharing and peer support. Implement and train our bench community in FAIR data practices to augment AI. Your skills and qualifications will ideally include: Strong quantitative background with a PhD or equivalent (e.g. Master’s degree plus 2 years’ experience) in mathematics, computational statistics, physics, data science, engineering, or similar. Strong applied background in one or more of Linear Algebra, Probability Theory (Bayesian, Gaussian logic etc.), and Optimization techniques. Broad experience in supervised and unsupervised machine learning methods such as random forests, SVMs, penalized regression, KNN, clustering, dimensionality reduction, ensemble methods, Bayesian methods (probabilistic programming, Gaussian processes). Experience in at least one of the following areas of advanced AI: deep learning, reinforcement learning, natural language processing. Programming proficiency and experience with relevant software tools such as R, Python or MATLAB), version control (Git/Bitbucket), and databases (SQL as well as NoSQL). Working in a Linux environment, with experience of cluster or cloud computing (e.g. AWS or Azure). Excellent communication and presentation skills. AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, gender or gender 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.

Major banking organisation seeks a number of highly technical Data Scientists with very strong hadoop, Hive and scripting/coding in Python as well as solid AWS Cloud experience. You will be joining the Mobile / Digital team of this leading bank working on next generation Mobile banking solutions. Any prevous experience in Digital or MObile banking teams would be very welcome but is not essential. The roles can be based in either London or Edinburgh. You MUST be an experienced Data Science profesional with very strong Hadoop , NoSql, Hive skills. You should have good Python coding skills and will previously have worked in Cloud areas specficially with good AWS experience. ALL strog Data Scientists with Python and AWS and ideally a banking or finance background should apply now.

This global organisation, also a household name, conducts analysis and statistical interpretation of research data, ensuring that research scientists can translate this into clear, accurate conclusions. The successful incumbent will provide expertise, advice and training in experimental design, data handling, application and interpretation of statistical results, ensuring the delivery of high quality scientific output  Role & Responsibilities  Design research trials, analyse and communicate results.  Provide guidance, direction and best practice in the planning of studies and the collation of data.  Investigate and determine appropriate statistical packages  Attend relevant conferences, symposia and/or training courses to integrate new knowledge and techniques.  Provide a source of expertise across the business.  Undertake design, data handling, visualisation and statistical analysis.  In the areas of statistics and machine learning, ensure the organisation remains at the forefront of knowledge in these areas.  Undertake formal and informal training for personnel as appropriate.  Provide advice on experimental design, data handling and statistical analysis.  Responsible for providing statistical training as required.  Experience & Skills Required  Educat ed to MSc, or equivalent experience in statistics or a closely related fields essential.  Be able to communicate statistical information at an appropriate level to associates with a wide range of prior statistical knowledge and ability.  Provide accurate collation, analysis, reporting and publication of research trial data  Demonstrate a broad understanding and proven experience in biological statistical design and data analysis.  Experience of at least one scripting language - R preferred.  Excellent verbal/written communication and interpersonal skills are essential for this role.  Actively undertake continual on the job training of both a practical and theoretical nature  If you fit the above job description, please contact Roisin McCarthy on 01256 314 660 or email her on rmccarthy@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK. 

This legal organisation is expanding rapidly having had significant investment in personnel, technology and processes in the last two years. They have aspirations to grow significantly and is entering a sustained period of expansion. The role represents the opportunity to join a business at its expansion point and work to be a key member of the management team with this success.  Role & Responsibilities  Provide and maintain regular reporting to senior staff and department heads  Liaise with CRM partner in the project management of new developments  Manage the relationship with the CRM partner  Interpret and analyse data on all marketing and related activity.  Cleanse and format all inbound leads and other data to  Assess the performance of customer contacts when performed by a third party  Ensure the integrity of the database at-large including all records held  Ensure all users are aware of correct practice regarding CRM.  Monitor and assess impact of marketing techniques in order to improve performance.  Ensure all marketing activities are in full compliance with relevant regulations  Experience & Skills Required  Strong numerate skills demonstrated by supportive academics  Strong experience with Microsoft Excel in the role of reporting and data analytics  Previous experience with generating analytics from large CRMs  Exceptional attention to detail alongside confident communication skills, able to communicate at all levels.  Methodical problem solving skills  Be driven, pro-active and able to meet tight deadlines.  Maintain and manage a regular chasing cycle of all outstanding leads  Confidently identify/establish new sources of data to aid performance reporting.  If you fit the above job description, please contact Teresa Cheeseman or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

This new and exciting Data Analyst role is envisioned to be an integral member of the Actuarial department. You will be working alongside others to achieve the team objectives through better use of data management, investigation and reporting. This fresh opportunity has been created by an exceedingly well-known and very successful practitioner in the insurance market. Alongside providing some of the best benefits available this employer aims to make it a great place to work for their committed workforce.  Role & Responsibilities  Provide support to the Actuarial team to source and process data as part of the quarterly analysis.  Place a strong focus on data accuracy and consistency.  Through building enhanced models and using more sophisticated modelling techniques, implement new tools and reporting suites.  Help investigate emerging trends and explain drivers of results.  Contribute to building tools to easily group data in alternative ways  Develop processes and methodology to improve the efficiency, accuracy and communication of results.  Ensure full use of the vast quantity of data within the company.  Enhance Management Information reporting in the context of the Actuarial Function  Build effective relationships with other teams  Experience & Skills Required  Educated to degree level (first or upper second) or equivalent with substantial mathematical/statistical/computer science content.  Experience with SQL and/or SAS in a commercial setting is required.  Confidently carry out data manipulation using SQL (or SAS)  Be passionate and enthusiastic about data and how it can be used to build real value for the company.  Experience with Visual Analytics reporting tools such as Tableau or Qlikview would be beneficial  Experience with R and/or Python is advantageous.  Knowledge of the insurance industry would be a plus.  Possess strong Excel model building skills including VBA coding  If you fit the above job description, please contact Teresa Cheeseman or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.  Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport. Our team As a part of Modelling and Decision Sciences, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships. Our Decision Science team form the front line to understand client needs and convert them into technical solutions. Working closely with the clients, partners, and internal business units, to build the definition of the problem, as well as with technical teams to deliver complex solutions. Combining relevant market and commercial expertise with hands on data science/modelling/simulation skills alongside a comprehensive view of solutions architecture. In a unique position to drive innovation in line with the strategic goals of MAT/MDSci, by bridging the gap between the various technical teams and business / market facing units. The role We are looking for the right individual to help enhance our already ‘world class’ team of data scientists and Simulation engineers. Requirements Previous Experience Leading a high performance, multidiscipline team. BSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline MSc or PhD in operational research Experience in solving complex process modelling problems using tools such as MATLAB, AnyLogic, R or Python Skills and experience Experience in combining modelling and data-driven techniques Experience of developing models to solve problems in the healthcare or transport industries Personal attributes                                         A problem solver, using innovative cutting-edge techniques who is passionate about technology We are looking for someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team A keen interest in a specific area of systems modelling (e.g. discrete-event simulation) would be beneficial The work environment You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry over a drink or two. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required. McLaren’s Product Innovation Framework Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.  Recruitment process If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters. If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge and a video interview. This will be completed in your own time. The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.

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. 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. 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.

G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-beating predictive research and build advanced technology to analyse the world’s data. We use the latest scientific techniques and advanced data analysis methods to discover the undiscovered. Our researchers are free to explore ideas, finding patterns in large, noisy and real-world data sets to predict the movements in global financial markets. The Role We are working on the fringes of the possible, trying to beat the efficient market hypothesis with the full “big data” tool set. We also build on the latest academic research into optimisation methods to find innovative solutions to the complexities that Markowitz ignored. This is a pure research role where you will have the freedom to develop and test your ideas with real-world data in an environment that resembles academia: you are only limited by your imagination! Who are we looking for? The ideal candidate will at minimum have experience in the following areas: You will have an interest in applying mathematical concepts to real world financial problems An interest in implementing theoretical insights as working code You will have, or be working towards gaining, a Masters or PhD degree in a highly quantitative subject (mathematics, statistics, computer science, physics or engineering) Previous financial experience is not required, although interest in finance and the motivation to rapidly learn more is a prerequisite for working here   Why should you apply? Highly competitive compensation plus annual discretionary bonus Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance 25 days holiday Contributory pension scheme Central London office close to 5 stations and 6 tube lines