53 Software Engineering jobs

Sartorius develop automated laboratory systems which integrate novel hardware and software solutions with electronics, sensor technology and single use consumables to provide easy-to-use platforms for development scientists within the modern life sciences industry. Sartorius is looking for a capable Data Scientist to contribute to development projects and shape how we process and analyse multivariate data.  Key job accountabilities will include : Formatting data (and automating the formatting of data) from a broad range of sources for analysis. Working with multi-discipline engineering teams to analyse experimental data, present conclusions and shape the development of software and hardware systems. Working with software development teams to encode data formatting and data analysis algorithms into finished products. Multivariate Data Analysis – likely with SIMCA. Evaluation of spectroscopy data. Assisting with troubleshooting customer issues relating software data processing. This role will be based in Royston, Cambridge UK supporting the development teams located there but may require occasional travel to customers and other development groups within the worldwide Sartorius organisation. Qualifications : PhD/ EngD, MSc, or Degree level qualification plus equivalent experience in relevant field of study, e.g. Physics, Chemistry, Engineering, Biochemical Engineering, Mathematics.  Experience : General Programming skills and data manipulation (e.g. Python, C#, C++) Mathematical statistical scripting (e.g. R or Matlab) Multivariate Data Analysis (e.g. SIMCA, PLS Toolbox, Unscrambler) Mathematical / Statistical data evaluation methods and algorithms Spectroscopy data evaluation (ideally Raman and NIR) Key job skills Essential : Rapid software prototyping / scripting. Multivariate data analysis. Mathematical / Statistical data evaluation. Desirable : Spectroscopy data evaluation. Cell culture experience. Engineering Product Development Lifecycle. Software Development Process. Experimental design, including Design Of Experiments approaches. In order to commence working with us, the successful candidate will need the right to work in the UK.

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

Applicants must be authorized to work in the Caymans Islands. We are unable to sponsor visas at this time.   OVERVIEW The Machine-Learning Intern is responsible for assisting blockchain architects and engineers with the design and implementation of machine-learning technologies for the BAT roadmap. The primary task is the development of an open decentralized blockchain-based ads ecosystem, involving user contributions, attention rewards, and publisher contributions over several phases. As a part of this, the intern will work on analyzing data to determine trends and determine the accuracy of the associated models. Interns will develop a hands-on competency in training and refining the standard machine learning algorithms in the toolkit. DESIRED SKILLS The ideal candidate is interested in working with distributed applications and has a familiarity with python. OTHER DETAILS This position reports to the BAT Principal Engineer, working on Grand Cayman island.

Main purpose of the role: This is a senior development role working in the team responsible for the firm’s Big Data analytics platform, with a specialism in Java or Scala required. The successful candidate will work in the data team to build out the existing platform to support additional technology and business use-cases involving both on-premise and Cloud implementations. The platform delivers data solutions across BGC Group including use-cases for: market data analytics, regulatory reporting, surveillance and revenue analysis.   Key responsibilities: The objectives of the role: To work in partnership with the business/business analysts to identify key requirements for implementation To identify any technical requirements for new products To work with all the business and technology departments to ensure all business and technical requirements are met To identify and manage any integration work To analyse, design and build any such projects To provide input into the current and on-going system architecture To liaise with other development teams as necessary to implement cross-team projects Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviours across the firm  To undertake and manage: Systems analysis and design Systems development Systems documentation Production support and out-of-hours system maintenance Skills / experience required: Minimum of 3 years development experience working with Big Data platforms covering the following technologies: Java or Scala on Linux. Docker beneficial. Hortonworks, Hive Kafka, KafkaConnect, KafkaStreaming Spark, SparkSQL, Yarn, Ansible   Also : Substantial database experience: Relational and NoSQL data modelling. Experience of software development in a financial services environment advantageous Willingness to keep up to date with latest technology trends and proactively identify appropriate areas into which they can be applied Solid Computing Degree Additional Beneficial Skills / Experience: Cassandra / Datastax, ElasticSearch, LogStash, Kibana Experience in addressing efficient data storage and querying against very large stores Experience in accommodating key requirements of MIFID II in designs/implementations AWS: Data Pipeline, S3, EMR, Lamda, DynamoDB, RedShift Experience in the use of high performance messaging middleware such as Tibco RV or Solace   Personal attributes: Team player with excellent inter-personal skills and confident communication skills. Able to effectively disseminate knowledge and experience to less experienced team members Must be able to deal with our customers effectively, ie development teams working across the globe using Messaging and Data products, alongside external vendors who use the products Must be able to deal with and adapt to change extremely effectively Must be proactive in generating ideas and effective at developing solutions that are balanced, proportionate and effective. It is critical that this is achieved in collaboration with the global team Ability to work and function under pressure, handle multiple tasks, and shifting priorities “Self-starter” always looking to improve quality of process and deliverables and keen to take a lead role in that process

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, 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, 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 Fluent Mandarin and Cantonese language skills Fluent English language skills 4+ 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) Considerable experience using R, SQL, Databricks, Snowflake, Git, JIRA & Spotfire Strong experience and knowledge of data processing, data modeling, 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!

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 Junior Data Scientist, 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 Junior Data Scientist, you will be responsible for: Performing data projects Securing delivery on your projects Communicating your work and achievements among the team 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 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 Qualifications: Education & experience required A Master’s degree in machine learning, mathematics, computer science, or related fields 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 knowledge of data processing, data modeling, algorithms, and data architecture 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!

We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky. In this role you’ll identify, lead and deliver improvement initiatives across in the Finance Shared Service Centre (SCC), with Account to Report processes being a major focus. The perks Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more. To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.   You will Support the Financial Controller to drive Continuous Improvement methodology, standardisation of processes and increased efficiency & effectiveness of processes Identify and deliver continuous improvement (CI) initiatives to increase effectiveness and efficiency of Finance Shared Service Centre (SSC) processes Operate as a subject matter expert within the SSC for CI Contribute to the department activities such as KPIs, CI Review Board and communications. Ensure the SCC has updated processes following any change requests or CI initiatives Support change activity for SCC for ERP rollout including; Process map change impact assessments, training needs analysis and training delivery plans Provide post go-live support for end users You’ll have A full accounting qualification (ACA, CIMA, ACCA or equivalent) Experience of working in an Account to Report (A2R) role in a Global Finance SSC SAP (must) Ariba (desirable) skills. Finance Transformation Experience or System Implementation Experience Delivered Finance Process Improvement Initiatives. An ability to work on own initiative and deliver objectives. Confidence to hold Workshops/Training/Road Shows Great Soft Skills – Influence/Negotiate/Commercial Awareness. So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer. We’re happy to discuss flexible working. It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.

We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky. Join us as a Senior Business Analyst in Customer Service Group, Change and you’ll be part of the team that continually delivers brilliant results, the right way. The Change team is a team of change professionals who deliver best in class products and services with a passion for the customer. We collaborate with all areas of Sky to understand the business need, lead and shape transformational change and deliver innovative solutions and world class customer experience. We work across a broad portfolio of projects that include product launches, estate transformation and business growth and efficiency initiatives. The perks Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more. To find out more about working with us, search   #LifeatSky   on LinkedIn, Twitter or Instagram. You will As a Senior Business Analyst in the Change team, you’ll be a dynamic and organised problem solver with strong leadership skills to deliver end to end business analysis from project set up to implementation. You will lead the analysis on projects and larger complex programmes of work and be accountable for the delivery all analysis activities. You will work as part of the project delivery team, sometimes leading other analysts, and have the below responsibilities: Lead analysis for a whole project or for a programme work stream, e.g. customer communications, operating model, supply chain, business readiness and various customer channels – online, apps and TV Create and manage the analysis plan and approach, utilising flexible and agile ways of working within agreed timescales, quality standards and budget Provide analysis services at the initiation of projects including stakeholder identification, scope definition, benefit measures and operational impact assessments Deliver or manage delivery of standard change analysis including: Business requirements (gathering, analysis, sign off) Impact assessments Process maps Customer journeys Stakeholder identification and management Implementation support Champion the customer, ensuring all change strives to improve the customer experience Work closely with senior stakeholders, fully understanding their business needs and providing concise and relevant updates to them Work closely with technology colleagues to ensure delivery of requirements, providing traceability to the stakeholders Coach and mentor business analysts, sharing your knowledge and experience You’ll have  Strong analytical and problem solving skills bringing a creative approach to solution finding Attention to detail Ability to see the bigger picture and how change will meet business goals Excellent relationship building approach, experienced in stakeholder management and working collaboratively with cross disciplined project teams Effective verbal and written communication skills Confidence in working with all stakeholders including senior management Working knowledge of the full project lifecycle with practical experience in planning and analysis Ability to adapt your analysis approach quickly in a flexible and agile environment where change to in flight projects is welcomed So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer. We’re happy to discuss flexible working. I t’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.

Brave is looking for an experienced software engineer to join Brave's reseach team to help with both developing new ambitious research ideas and in transferring advanced research prototypes into Brave products. This job involves working side-by-side with both researchers and developers. The Brave browser relies on some deep tech and we are commited to moving cutting-edge research ideas into practice. Brave is already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.  Specific Skills That Will Set You Apart from the Competition Applied cryptography  Blockchain Machine learning Decentralized machine learning Ph.D. in computer science from a top-tier school, although we will consider someone who has a Master's degree but has some research experience About you An ideal candidate will have a mix of skills that include the following: Demonstrates a high level of initiative and consistently delivers high-quality answers Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates Want to be part of a high-growth startup company with global ambitions  Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or Rust is also strongly encouraged. Has a proven track record products and a broad understanding of the state of the art in applied crypto, blockchain, or machine learning   Comfortable working in an open source setting Has a passion for helping protect users’ privacy and security What we offer Ability to work at an exciting and well-funded international startup headquartered in San Francisco Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions Competitive compensation and plenty of room for personal growth Great international exposure and team atmosphere We are looking to hire in London but would   consider   an exceptional candidate in the rest of Europe.

Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.  Specific Skills That Will Set You Apart from the Competition Privacy-preserving machine learning Decentralized machine learning Deep knowledge of adtech Ph.D. in computer science from a top-tier school  About you An ideal candidate will have a mix of skills that include the following: Demonstrates a high level of initiative and consistently delivers high-quality answers Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates Want to be part of a high-growth startup company with global ambitions  Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged. Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning  Comfortable working in an open source setting Able to create and deploy machine learning pipelines Has a passion for helping protect users’ privacy and security A Ph.D. in computer science is   highly   preferred,   but we may consider some exceptions Specific Skills Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches Basic data cleansing and preparation, variable preprocessing/transformation Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression Preparation of data sets for predictive modelling, robust predictive model building, validation and application Automation of statistical processes and integration into a bigger product Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi What we offer Ability to work at an exciting and well-funded international startup headquartered in San Francisco Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions Competitive compensation and plenty of room for personal growth Great international exposure and team atmosphere We are looking to hire in London but would   consider   an exceptional candidate in the rest of Europe.

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.  Every single day, we make a difference by delivering potentially life-changing medicines to millions of people worldwide.   We are passionate about the power of data and Artificial Intelligence (AI) as a catalyst for change.  We are transforming to deliver a FAIR science data foundation, AI-augmented drug design and genomics, knowledge graphs driving biological insights and holistic precision medicine.  Join AstraZeneca Oncology’s vision to redefine cancer, redefine our solutions to cancer, and restore patients' lives.  Minimum Requirements: BSc and MSc or PhD degrees in a quantitative discipline (Applied Statistics, Mathematics, Data Science, Physics or similar). Relevant work experience, including full time industry experience or post-doctoral research. Expert solving complex data problems with a broad set of machine learning and statistical data mining techniques, including deep learning. Experience with machine intelligence, algorithmic foundations of optimization, transfer learning, graph techniques, machine attention or reinforcement learning. Programming proficiency with Python or R; version control (Git/Bitbucket). Experience contributing to the research community through publication and conferences. Experience working with biological or health data e.g. genomics. About the job In AstraZeneca Oncology our data scientists are embedded throughout our research organization.  As a Research Data Scientist, you will work alongside drug project bioscientists, software engineers and bioinformaticians to generate new ideas to impact our science with machine learning.  We will provide an environment where you can collaborate with domain experts and the burgeoning data science community to create experiments, steer data generation and rapidly deploy solutions.  Typical research will focus on applying machine intelligence, natural language processing and deep learning for: Feature engineering/extraction for genomics, CRISPR, and phenotypic assays. Representation and modeling of multi-modal patient data for precision medicine. Retrieving and harnessing prior-knowledge to augment machine intelligence. The team will actively research ways in which to improve machine learning algorithms and infrastructure for biological data and enable practical application by our research community.  You will maintain awareness of cutting-edge applications of machine learning and initiate collaborative interactions with leaders in the field.  You will grow your external reputation and contribute to the wider research community by publishing innovative methodologies and scientific discoveries. You will have the opportunity to supervise and mentor junior data scientists, directing their day-to-day scientific and technical delivery.  You will educate the AZ Oncology leadership and scientific community to recognize opportunities for machine learning and adopt a data-first FAIR culture.

AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases.  Our growth platforms are doing extremely 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 inspires innovation and collaboration.  Our vision of a great place to work is one in which all our employees are engaged and inspired 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. Lead a team of data and reporting engineers focused on developing cutting edge 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 shaping 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 deliverables. 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, To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be an excellent fit, please share this posting with them 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.

We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky. Data Tech and Analytics brings together data from multiple sources across Sky, creating analytical products and capabilities. You will be working in a fast paced and dynamic environment surrounded by a high performing team. As part of the Development team you’ll be delivering future-proof, scalable and innovative technical solutions to satisfy our diverse business needs. The perks Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more. To find out more about working with us, search   #LifeatSky   on LinkedIn, Twitter or Instagram. You will: Support our transition to Google Cloud Platform, inputting to technical discussions and direction Produce high quality deliverables that follow the development standards and principles Work with and assist the wider data community, providing technical & domain expertise Inputting to low level solution design and estimation process Driving technology and development best practices into the team with passion and enthusiasm Assist with the mentoring of associate developers and colleagues during the project lifecycle championing excellence across the team Promoting good attitudes and behaviours, such as collaboration, learning, sharing, respect and motivation You’ll have: In depth understanding of large scale data, such as data warehousing or cloud based analytic solutions. Knowledge of Microsoft Azure, AWS (Amazon Web Services) or GCP (Google Cloud Platform) would be beneficial An understanding of data modelling concepts within a data warehouse environment Knowledge of Cloud products and services, such as Google Cloud SQL, BigQuery, Cloud Storage, Compute Engine, Dataflow, Dataproc, Azure SQL Data Warehouse, Functions, Data Lake Storage, Data Factory, Databricks, Amazon Athena, EMR, Redshift, Lambda, S3, SageMaker would be beneficial A desire to learn new technologies An ability to explain complex technical concepts to non-technical stakeholders Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a fast-moving commercial environment Experience in the following is essential: SQL (ANSI standard or equivalent) within Data Warehousing or OLAP environments Unix shell scripting Low level solution design Understanding of the following is desirable but not essential: Working in an Agile environment Python Java Spark ETL Tools (preferably Ab Initio or Informatica) If you’re ready to work in a fast paced dynamic environment alongside talented people who take pride in delivering great results, apply today. So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer. We’re happy to discuss flexible working. It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.

We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky. This role is an exciting opportunity to join us and work within our Test Team The perks Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more. To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram. You will: As a member of the Test Team within Data Technology & Operations, you’ll help deliver technical solutions that will meet the business requirements of our partners. This will include defining, estimating, planning and executing manual and automated test scripts as appropriate. Produce documentation that state clearly the scope of what will and will not be included in the test coverage, with justification where appropriate, achieve sign off of scope from our partners Documents and validates all gaps, risks, issues, assumptions and dependencies with mitigation. Ensures consideration given to the use of automation for test scripts or data creation Produce automated test scripts, unless by exception manual is the solution, supporting test requirements and coverage, and documents expected results Ensures independent, documented quality peer reviews are undertaken on own work Ensures test estimates clearly differentiate between man day’s effort and elapsed duration Ensure that regression test scripts are maintained in line with ongoing changes to the platform Work with and assist the other teams within the department and provide technical & domain input and with the mentoring of associate testers and colleagues during the project lifecycle You’ll have: In depth understanding of large scale data, such as data warehouses and their standard methodology and principles of managing them Experience of ETL technical design, development and support Excellent SQL skills Experience of Unix and python scripting Experience in Netezza, Oracle are desirable but not essential. Comfortable with developing testing capability in automation frameworks Technology background that includes as many as possible of – Selenium, Cucumber, LeanFT, Java, Maven, Jenkins, Git Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a dynamic commercial environment. So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team. Just so you know: if your application is successful, your appointment will be subject to receiving a positive outcome from your criminal record check. We’re happy to discuss flexible working. It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best. If you are successful in your application for this role, your appointment will be subject to receiving a positive outcome from your Criminal Record Check.

SPYSCAPE  is a totally new kind of edutainment and media company. We aim to educate and entertain people as we inspire them to see the world and their own potential more clearly. Find out more  here . We need a data-driven analyst to   help us understand the performance of our products, services and experiences . You’ll work with Product Management and Marketing in user research, and bring rigour to quantifying and qualifying customer behaviour and sentiment. We're looking for someone who wants to help create a purpose-led global brand for the 21st century. What would interest us? A passion for constant improvement Demonstrated ability to use tools like Excel, R, SQL and BI tools like Tableau / Looker. Product management / analyst experience Knowledge of research methods and statistical methods What will resonate with you Loves data, data visualisation and the stories you can tell Care about user experience, and good creative environments Cares deeply about statistical validity Want a start up vibe in a grown up company

When our founder Bruce McLaren passed away at the age of 32 he left behind a legacy that has shaped who we are today. We have an unrivalled heritage which has its roots in racing; but McLaren Automotive is now creating a story of its own and we want you to be a part of it. As part of our Track25 business plan we will launch 18 new models or derivatives of our vehicles and look to expand our retailer network into new markets with an aim of having 100 retailers globally.   Track 25 and McLaren Automotive’ s growing reputation is testament to our world class employees. To ensure McLaren Automotive continues to be at the forefront of the Automotive market, we are looking for a Pats Operations Business Analyst to join our Aftersales team. Purpose of the role: The core responsibility of this role is to support the Aftersales Parts Operations management team with business analysis, reporting, and improvements. The end goal of the role is to provide financial & business insights that help the decision-making process, and align capital and resource allocation within the business objectives, budget and performance targets. As well as drive, fresh initiatives for financial, operational planning and business intelligence systems. Principal accountabilities: Create detailed business analysis, outlining problems, opportunities and solutions for MAL AFS Business Generate and present commercial & business insights Support budgeting and forecasting activities Maintain and monitor key performance indicators Formulate and execute continuous improvements of processes and systems Reporting, templates and dashboard development Process improvement and project management Diverse reporting Work across teams to defining business requirements and reporting them back to stakeholders Support to perform and develop financial and operational modelling to support sound business decisions Streamlining and improving of internal and external reporting Ensure competitive pricing of Aftersales parts is in place for our Global Retailer network Knowledge, skills & experience: Numerical and analytical skills Proven analytical background Strong attention to details and organisational skills Experience working with senior decision makers Able to engage with and influence stakeholders Excellent communication skills (written and verbal) Highly IT literate (Microsoft applications incl. 365/Power tools, SAP, Business Objects, and others) Educated to Degree/Bachelors level or equivalent. The International Institute of Business Analysis (IIBA) certification beneficial Automotive parts experience beneficial Personal attributes: Ability to work independently Thrives in a fast paced, challenging and dynamic environment Proactive approach to influencing others Exceptionally organized with high levels of self-motivation Meticulous attention to detail even when under pressure Approachable Confident Professional at all times Able to multi-task We recognise that we can only achieve our vision with the dedication and collaboration of our world class employees.  It is our aim to become the employer of choice within the global automotive industry. At McLaren Automotive we are constantly looking to improve. To become the employer of choice we are always looking to develop our employee offerings. We currently offer a range of benefits to employees at all levels of the business including Private Healthcare, Contributory Pension Scheme, Life Assurance and Personal Lease Car Scheme. We also offer a range of discounts with our partner organisations.

  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.

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. The Newcastle Digital Transformation Center (DTC) offers Agile Delivery to multiple Clients. Would you describe yourself as a creative and ambitious engineer who is always ready to take on the next cutting-edge technology? If your answer is yes, you are going to fit right in with our team. We are looking for a passionate, motivated, innovative team player with a technical aptitude and thirst for learning and problem solving, who would like to be part of our vision in helping clients transform their business. Our technical roles offer you the chance to grow your skills and experience whilst working alongside some of the most talented people in DXC.    Our Client has been working with DXC on ways to advance and scale their analytics talent, innovation and compute globally.  In addition, they have been exploring ways to leverage DXC experience, methods and management to improve and accelerate business outcomes.  DXC and our Client are trying to scale to meet unmet business and digital transformation demand from the clients operating units around the world. Therefore, they are looking for a partner and talent model framework which goes beyond and delivers more value. They want to innovate on digital solutions (develop/deploy/support) and strengthen their analytics foundational capabilities. They want our help to optimize utility costs for analytics workloads. Responsibilities: Understand the business use of data to support work processes and strategic business objectives Leverage data, analytics and data science techniques to create business value through solution delivery and/or self-service enablement. Identifies, acquires, and cleanses/prepares/transforms data in alignment with defined data architecture patterns, reusability principles and business value objectives. Collaborates with data scientists to identify, build and integrate advanced analytics models into solutions. Enables the data scientists to develop the most advanced analytics models. Uses an agile approach (part of a scrum team) to develop analytic solutions and technical components of the platform (data ingestion, data preparation, analytics processing, visualization). Deploys solution including model, documentation, training, integration. Essential Skills: Data Architecture, modelling and Integration Experience in Analytics/Data Platforms and Data Products solution architecture (Hadoop, Azure Analytics). Experience in Data Extract, Load and transformation technics and tools (Hadoop ecosystem, Azure Data Factory, Databricks). Understanding of relational and dimensional data models. Learning Agility Work productively in uncertain and fast changing environments. Finds opportunities in ambiguity; Embraces and adapts to change; adept of learning by doing. Analytical thinking and problem solving Knowledge of techniques and tools that promote effective analysis, determine the root cause of problems and create alternative solutions to solve them in the best interest of the business Optional Skills: Software Engineering, coding Experience in software engineering, Agile and DevOps methodologies and tools (Jira, Jenkins, VSTS/ADO). Experience with programming languages / scripting tools (Java, Python, R, C, Spark). Experience with information security management. Data Visualization and Analytics Experience with analytics solutions (Azure Analytics Paas/Saas). Experience in Data Visualization (Spotfire, PowerBI). Software Engineering, coding Experience in software engineering, Agile and DevOps methodologies and tools (Jira, Jenkins, VSTS/ADO). Experience with programming languages / scripting tools (Java, Python, R, C, Spark). Experience with information security management. Tools / Platform / Coding Languages that will be used on this project: Platforms: Hadoop, Azure Analytics, Cloudera Data Extraction: Hadoop ecosystem, Azure Data Factory, Databricks Data Vizualisation & Analytics: Spotfire, PowerB Coding language – Java, Python Tools - standard JIRA, Jenkins Experience Level: 4 to 10 years of relevant experience DXC Technology is committed to the development of a fully inclusive workforce. All applications for employment are assessed purely on merit, against the capabilities and competencies required for the role. DXC Technology does not discriminate on the basis of gender, ethnic origin, race, faith or sexual orientation.

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. The Newcastle Digital Transformation Center (DTC) offers Agile Delivery to multiple Clients. Would you describe yourself as a creative and ambitious engineer who is always ready to take on the next cutting-edge technology? If your answer is yes, you are going to fit right in with our team. We are looking for a passionate, motivated, innovative team player with a technical aptitude and thirst for learning and problem solving, who would like to be part of our vision in helping clients transform their business. Our technical roles offer you the chance to grow your skills and experience whilst working alongside some of the most talented people in DXC.    Our Client has been working with DXC on ways to advance and scale their analytics talent, innovation and compute globally.  In addition, they have been exploring ways to leverage DXC experience, methods and management to improve and accelerate business outcomes.  DXC and our Client are trying to scale to meet unmet business and digital transformation demand from the clients operating units around the world. Therefore, they are looking for a partner and talent model framework which goes beyond and delivers more value. They want to innovate on digital solutions (develop/deploy/support) and strengthen their analytics foundational capabilities. They want our help to optimize utility costs for analytics workloads. Responsibilities (project): Conduct interviews and workshops with customer’s SMEs to define business use-cases for analytic engagements. Turn business requirements into inquiries to be addressed by the data. Perform detailed data assessment and resolve any data quality issues. Select, clean, integrate, derive and format data to create analytic dataset ready for modelling. Train, validate and test data mining models to select best ones. Present the results in both textual and appealing visual form to key decision makers for review. Responsibilities (general): Apply proven methodologies for conducting analytic projects (CRISP-DM, Agile). Keep up-to-date with the latest technology trends e.g. Big Data, cloud computing, etc. Possess broad knowledge about statistics and machine learning algorithms. Develop competency in other related fields e.g. computer science, data visualization, etc. Build skillset of supporting techniques e.g. shell scripting, regular expressions, etc. Share knowledge and provide mentoring to junior data scientists. Essential Skills: Ability to generate actionable insights from messy disconnected datasets, including datasets that may originate in many various forms (e.g., flat files, APIs, database access) Ability to clearly communicate with business units and delivery groups to understand the nature of their business challenges, factors specific to that operation Ability to quickly generate simple yet power data visualizations to communicate insights Ability to work closely with others in a fast-paced and collaborative technical setting Ability to rapidly learn and develop new skills, largely on one’s own by staying in tune with the market and emerging technologies and techniques Strong math and statistical skills and an ability to apply those skills towards generating logical, accurate and meaningful insights from data An ability to quickly learn the essentials of a new operational team (e.g., a specific account within DXC’s delivery organization) and understand the nuances of tools, processes, data and business requirements that impact actions required to add value for the client and DXC Tools / Platform / Coding Languages that will be used on this project Platforms: Hadoop, Azure Analytics, Cloudera Data Extraction: Hadoop ecosystem, Azure Data Factory, Databricks Data Visualisation & Analytics: Spotfire, PowerBI Coding language – Java, Python Tools - standard JIRA, Jenkins DXC Technology is committed to the development of a fully inclusive workforce. All applications for employment are assessed purely on merit, against the capabilities and competencies required for the role. DXC Technology does not discriminate on the basis of gender, ethnic origin, race, faith or sexual orientation.

This is an exciting opportunity for you to become part of our growing Data Analysis function and expand your skills and experience within Excel and Power BI. As the Data Analyst, you will have the chance to work in a small and closely cooperating local team whilst there is also the opportunity for personal growth in an international environment. This position has responsibility for creating, maintaining, and issuing agreed reports to measure and support business performance in key areas and agreed service levels. Responsibilities: Work closely with project managers to understand their analytical needs, including identifying critical metrics and KPIs Proactively analyse data to answer key questions from stakeholders  Create and maintain rich interactive visualizations through data interpretation and analysis from multiple data sources Identify trends and opportunities for growth through analysis of complex data sets Work directly with management and users to build relationships, gather requirements and provide status updates Use data to create models that depict trends in the customer data Develop reports using tools such as MS Power BI, Cornerstone On Demand, Excel Deliver reports as described in the Reporting Catalogue Documentation and Version controlling of user guides Your Qualifications: University level or equivalent Strong Power BI experience Strong Excel Experience A natural affinity to numbers and calculations. Extensive knowledge and experience with reporting, statistical models and Data Analytics Extensive knowledge and experience with MS Office applications (esp. excellent MS-Excel skills) High level of accuracy & attention to detail  Preferably advanced knowledge and experience with MS Excel Macros and VBA (Visual Basic for Applications) Spring acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Spring Group UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Spring. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser: www.spring.com/candidate-privacy-information-statement