2,776 to 2,800 of 4,506 Data Science Jobs

plus up to 30% bonus An established consumer business with a strong online presence is hiring a Lead Analytics Engineer to shape how data is modelled, governed and consumed across the wider business. Real ownership, real technical leadership, and a modern stack to build on. The role … Proven experience shaping analytics engineering at a business domain level Python for automation and processing Confident with stakeholder management across product, marketing, finance and data science Comfortable operating independently and making calls in ambiguous environments A mentor who takes real pride in raising the bar around them What ...

Description Responsibilities: Ability to develop, maintain, and enhance complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements Ability to work individually or as part of a team review … required Three (3) years experience as a SWE, in programs and contracts of similar scope, type, and complexity is required. Bachelors degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes ...

boost productivity and decision‐making across the global workforce. Bridging complex AI capabilities with tangible business value, you will partner with IT and Data leadership to define a prioritized roadmap, maintain robust governance, and scale our Enterprise AI capabilities. Initially focused on Enterprise AI, this dynamic role offers … transitioning into other product spaces as new priorities and business objectives evolve. Your Responsibilities: Process & Continuous Improvement: Guide teams through lean process facilitation and data‐driven improvements while applying strategic insights to drive continuous problem‐solving and operational excellence. Talent Development & Mentorship: Mentor product managers to foster strategic growth ...

innovative solutions that enhance decision-making processes. The ideal candidate holds an advanced degree in a quantitative field and has hands-on experience in data science, particularly in Python. This position offers a unique opportunity to collaborate closely with various business functions to optimize revenue growth and efficiency. ...

work together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking an experienced Big Data Institute (BDI) Head of Scientific Operations to help translate the Institute’s academic vision into effective operational delivery. Reporting to the Director, the post … operational leadership. Responsibilities include coordinating major research programmes and partnerships, supporting training initiatives such as the Oxford EPSRC Centre for Doctoral Training in Health Data Science, leading communications and events activity, and contributing to operational and financial planning. Working with departmental finance and research support teams, the post ...

boost productivity and decision-making across the global workforce. Bridging complex AI capabilities with tangible business value, you will partner with IT and Data leadership to define a prioritized roadmap, maintain robust governance, and scale our Enterprise AI capabilities. Initially focused on Enterprise AI, this dynamic role offers … transitioning into other product spaces as new priorities and business objectives evolve. Your Responsibilities Process & Continuous Improvement: Guide teams through lean process facilitation and data-driven improvements while applying strategic insights to drive continuous problem-solving and operational excellence. Talent Development & Mentorship: Mentor product managers to foster strategic growth ...

implementation,collaborating closely with internal departments and external parties toensure requirements are understood and delivered on time. Leadingthe identification of challenges and opportunities through data and MIinterpretation, advising on appropriate action. Owningsign-off meetings with senior stakeholders to obtain approval forrecommended changes, clearly articulating business benefits, risks andmethodology. Mentoringand … toregulatory and fair value requirements, escalating and owning anybreaches. Key Requirements Stronganalytical and interpretation skills underpinned by a numeric degree orequivalent experience, with strong data manipulation skills. Significantexperience delivering statistical models such as GLMs, GBMs or otherrelevant techniques. Experienceof WTW software, specifically Radar and Emblem, with exposure toDatabricks ...

incidents. You will regularly collaborate with cross-functional teams to develop a coordinated approach to security, ensuring the integrity, confidentiality, and availability of sensitive data and systems. You will apply advanced analytical, technical, and problem-solving skills to enable operational excellence and implement innovative solutions to address complex security … protect the organization's digital assets, smart contracts, and blockchain infrastructure from cybersecurity threats Proactively monitor and analyze complex on-chain and off-chain data and systems to identify indicators of vulnerabilities and compromises, utilizing advanced tools and techniques to detect anomalies and contribute to the development of strategies ...

way. Capture learnings from deployments and feed them back into reusable patterns, improvements and scalable approaches across the organisation. Your Profile Degree in computer science, engineering, data science, business informatics, innovation management, finance, economics or a related field; equivalent practical experience is also welcome. Experience working effectively … areas such as client advisory, onboarding, KYC, investment processes, operations, risk or compliance. Familiarity with enterprise requirements related to security, governance, risk management, data privacy and regulatory expectations. Experience with modern software development, data management, system integration, cloud technologies, and relevant AI or automation tools. Experience supporting adoption ...

Chief Product & Technology Officer London - Hybrid-Working: 3 days in office, 2 days from home ABOUT THE ROLE Are you passionate about using data, technology, and payments expertise to drive tangible customer value? We’re looking for an experienced and commercially minded Head of Product to lead the evolution … optimisation and orchestration products, scaling them to the next level. You’ll operate at the intersection of Product, Data Science, and Commercial teams, translating analytical insights into measurable business outcomes for our customers and for APEXX. This role is ideal for someone who enjoys connecting complex technical capabilities ...

healthcare, drive adoption of innovation and create value through investment. Our consultancy serves theentire healthcare sector,from payors and providers of care,to life science companies, health tech and sector suppliers and health investors. We provideend-to-end services, from strategy through implementation, accelerated by data,digitaland AI. … Weshape opinion through evidence-based thought leadershipon key issues affecting health. Withunmatched ability to access and use health data, our consultants are a driving force for delivering positive and meaningful change. Our strategic intent We are focused on building the leading consulting company dedicated to health. We serve ...

Overview We're looking for a talented Senior Product Manager to join our growing Data & Analytics team at Chambers. In this role, you'll help shape the future of our market-leading intelligence products, transforming unique legal industry data into innovative solutions that deliver meaningful value … customers. Main Duties and Responsibilities Develop and communicate a clear product vision and strategy for our data products, aligned with our strategic and commercial goals. Identify market opportunities and define product roadmaps that align with business goals. Conduct market research to understand customer needs, market trends, and competitive landscape. ...

week. Due to the nature of the work, you will need a strong technical or relevant engineering background. Key Skills: Degree in Computer Science, Maths, Physics or similarExcellent background in C++ development or modelling-related industries (CFD, O&G, Gaming etc.)4+ years of Project Lead or Team Lead … role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, C# .net, Mechanical Design, Machine Learning, AI, FPGA, Electronics, Java, Python, Data Science or Simulation contact us today. Tagged as: C++, Software ...

London-based Senior Analyst, People Insights, reporting to the Sr. Manager, People Insights. This role sits at the intersection of quantitative modeling and data storytelling, critical to expanding our analytical depth across our global workforce. You will serve as the regional point of contact for HR functions across EMEA … team's primary quantitative modeler, equally comfortable building models as you are presenting regression outputs to leadership. This is a unique opportunity to apply data to complex business challenges, from attrition prediction to workforce scenario modeling. We are looking for a candidate who combines deep quantitative and stakeholder management ...

strategic technical leader responsible for shaping the long-term vision of programming technologies, driving digital transformation within biometry, and influencing cross-functional data and analytics strategies across R&D. The role partners closely with Data Management, Biostatistics, Clinical Development, IT, and external vendors to ensure that technical solutions … support regulatory compliance, operational efficiency, and innovation in clinical data analysis and reporting. WHAT - Main Responsibilities & Technical Competencies Develops and/or coordinates the development of technical solutions (e.g. SAS macros, SAS template programs for datasets and TFLs, R functions/packages and tools, ADaM specification template) that support ...

Intellectual curiosity and willingness to learn and work with new technologies Cultivate a positive team culture Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer … science 3+ years of industry experience in aerospace or large-scale manufacturing Programming experience with at least one software programming language 3+ years of experience in programming and integrating automated manufacturing equipment, including CNC, PLC, and robotic systems, leveraging CAD/CAM and real-time software development Preferred Qualifications ...

across all business areas Own end to end delivery: scope the work with team stakeholders, build it, test it against their data, and see it through to live running Use AI tools such as Claude Code, Open AI Codex, AI enabled IDEs to deliver solutions rapidly into the business … Build bespoke integrations, data pipelines, and user-facing tools Feed learnings from the field back into our core product, shaping the roadmap with first-hand evidence Your Profile: Essential: Engineering background, preferably in the Computer Science, Mathematics, Software Engineering, Physics, and Data Science fields. 3+ years ...

funding. Additionally, you will be a key contributor to the AI2030 faculty project to broaden our institutional offering in Artificial intelligence, alongside the related Data Science 2030 project. This will comprise a joined up educational offering at UG and PGT level, and will be sector-leading in providing … development. Evidence of development of, and ability to deliver, innovative and effective teaching and learning materials across a broad range of Mathematical or Computing Science and AI modules with an ability to create ideas for course development at undergraduate and postgraduate levels Excellent written and oral communications skills ...

delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder management with ability to influence … legal, risk, security, data science and engineering leads. - Comfortable operating on hybrid client engagements and delivering to executive audiences. Benefits summary: - Comprehensive benefits package, training budget and certification support. - Hybrid working, career progression on technical track, and access to multidisciplinary teams. - Competitive pension, performance bonus and private healthcare ...

delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder management with ability to influence … legal, risk, security, data science and engineering leads. - Comfortable operating on hybrid client engagements and delivering to executive audiences. Benefits summary: - Comprehensive benefits package, training budget and certification support. - Hybrid working, career progression on technical track, and access to multidisciplinary teams. - Competitive pension, performance bonus and private healthcare ...

delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder management with ability to influence … legal, risk, security, data science and engineering leads. - Comfortable operating on hybrid client engagements and delivering to executive audiences. Benefits summary: - Comprehensive benefits package, training budget and certification support. - Hybrid working, career progression on technical track, and access to multidisciplinary teams. - Competitive pension, performance bonus and private healthcare ...

deliverables, adoption measures and remediation tracking. Define and maintain security standards, reference architectures and control patterns for AI agents, including identity, permissions, tool use, data access, memory, human oversight, logging and containment. Lead security risk assessments, threat modelling and assurance reviews for high-risk agentic AI use cases, platforms … services, APIs or AI-enabled systems. Strong understanding of agentic AI security risks and controls, including identity and access management, tool/API security, data flows, prompt injection, privilege boundaries, logging and human oversight. Experience designing or assessing security controls across cloud environments, APIs, CI/CD pipelines, identity ...

delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder management with ability to influence … legal, risk, security, data science and engineering leads. - Comfortable operating on hybrid client engagements and delivering to executive audiences. Benefits summary: - Comprehensive benefits package, training budget and certification support. - Hybrid working, career progression on technical track, and access to multidisciplinary teams. - Competitive pension, performance bonus and private healthcare ...

software and systems, in conjunction with hardware product development, that enable hardware and instrumentation to perform their applications, applying principles and techniques of computer science, engineering, and mathematical analysis. The Software Engineering supports several projects, and will develop intuitive GUIs and associated applications to enable non-technical users … applying knowledge of computer programming techniques and computer languages. Confers with IPT lead and customer concerned with program to resolve questions of program intent, data input, output requirements, and inclusion of internal checks and controls. Corrects program errors using methods such as modifying program or altering sequence of program ...

occasions that matter. We’re evolving from an occasion‐centric experience towards one that puts the recipient at the centre, bringing together customer data, personalisation and thoughtful UX to help us make more relevant card and gift recommendations. You’ll lead a small team, working closely with Product … KPIs, well‐calibrated alarms and clear ownership of actions following incidents and PIRs. Build relationships across Moonpig and make effective use of capabilities in Data Science, CRM, platform and other engineering teams to improve personalisation, reduce complexity and manage dependencies. Use customer, product and engineering data, alongside ...