1,351 to 1,375 of 2,170 Data Science Jobs in London

highly available microservice architecture, including being part of an on-call rotation.* **Adaptable & Problem-Solver**: Tackle varied and challenging problems daily, showing flexibility, a data-driven focus on quality, and an ability to learn new skills quickly.* **Ownership & Quality**: Take responsibility for tasks, from building new functionality to developing … speed and grow your skills.**Minimum Qualifications:*** **Analytical Degree**: Bachelor's or higher degree in an analytical subject (e.g. Computer Science, Engineering, Maths, Physics).* **Coding Aptitude**: 3+ years of professional programming experience in C++ and the willingness to learn new languages quickly.* **Experience with Linux development**: Experience with ...

negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI/Machine Learning. Company: Our client is a globally established data and information services business, operating across multiple high-value industry sectors. They have established data science and machine learning engineering teams already delivering in production … machine learning trade-offs and design systems accordingly. About you: You'll likely have a Masters or higher in a mathematical, scientific or computer science discipline. More importantly, you've built things that are used - and you can explain clearly why you made the decisions you did. At senior ...

payment rails (i.e. stablecoins ), tackling fraud is becoming a critical part of our strategy.You will be working closely with Operations, Compliance, Engineering, Data and Security teams. This is a unique opportunity to make a significant impact on our security posture, drive innovation, and work at the forefront of fraud … stablecoins)- crypto to crypto transactions, card spends, internal processes and customer journeysStakeholder managementPartner with operational and compliance teams to ensure controls are effective.Partner with Data Science teams on predictive AI models for customers journeys and transactions; model inputs, outputs, and thresholds (you are not expected to build machine ...

high-performing team. THE COMPANY This growing specialist insurance business operates within the personal lines market and has built a strong reputation through its data-led approach to underwriting and pricing. Having invested heavily in technology, analytics and innovation over recent years, the company combines the agility … across a range of insurance products. Analysing portfolio performance and producing insight-driven recommendations. Supporting risk modelling, fraud analytics and underwriting initiatives. Working with data pipelines, reporting processes and pricing systems. Contributing to automation and AI-driven projects across the business. YOUR SKILLS AND EXPERIENCE 1-2 years' experience ...

pricing, payment plans, and cancellation terms. The impact you'll have: Reporting to the Head of Pricing & Revenue Management, you will develop and implement data-led strategies that balance growth and profitability across trillions of potential package combinations. You will also help develop highly scalable revenue management capabilities … optimise revenue management levers. Collaborating with other commercial teams to identify and influence broader trading opportunities, such as merchandising. Partnering with Product, Engineering, and Data Science to architect and build best-in-class, configurable pricing and packaging systems. Communicating performance updates and strategic recommendations clearly to senior stakeholders. ...

modern, AI-first stack. We need someone who can design and build the workflows that turn target accounts into pipeline, connecting marketing data, sales activity, and AI agents into one coherent system.You'll manage how target accounts get identified and prioritised, how signals get activated, how AI agents make … motions.Define how a lead or account moves from signal to pipeline to revenueKeep our CRM, analytics, and GTM tooling in shape: clean data, working integrations, real-time visibilityBuild the reporting that links account engagement to pipeline progressionPartner with Engineering on data infrastructure, with RevIntel on scoring, with Sales ...

largest, with nearly 300 million respondents in over 130 countries.At Cint, we are committed to innovation and are rapidly expanding our portfolio of data solutions to power the next generation of insights. We are looking for passionate, results-oriented leaders to join us on this journey.Job DescriptionThe RoleJoin … technical problems to life, inspiring and aligning senior leadership and the broader organization around your vision.Execute with Excellence: Conduct thorough opportunity assessments, backed by data and customer research, to validate assumptions and prioritize initiatives. Author clear, comprehensive product requirements and partner with R&D leadership to navigate complex technical ...

exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the rolePersonal loans are the fastest-growing consumer credit product … write tickets and attend standups" PM role. You'll own real problems such as:Getting credit models into production - working with data science to turn research into real lending decisionsDesigning and personally building automations that make our operations team dramatically more efficientUsing data to ideate the most ...

Workplace: White City, London - HybridData Analyst, Central InsightsWe are seeking a Data Analyst to join the ITV Insight Group’s Central Insights team.Central Insights plays a crucial role in shaping ITV’s understanding of the UK television market, evolving viewer behaviours and future opportunities in an exciting, highly competitive … supports key decisions across content, scheduling, marketing, product, strategy and performance planning.As part of a cross-functional team, you will partner with Insight Managers, Data Scientists, Data Engineers, Analysts and business stakeholders to understand their challenges and help answer the “big questions”. You will use data ...

prioritise AI/GenAI/agentic/ML use cases, translating them into scalable product features and measurable business outcomes Partner closely with data science and engineering teams to bring ML models and AI systems into production, balancing performance, risk, and cost Champion responsible AI by embedding governance … explainability, and regulatory considerations into product design and lifecycle Mentor and lead multidisciplinary teams, fostering a culture of experimentation, learning, and AI & data fluency What We’re Looking For Experience in developing and delivering digital products/portfolios across B2B, B2C, or B2B2C contexts within financial services Deep knowledge ...

management consultants with diverse analytical skills, industry experience and banking backgrounds. Our team comprises experts in financial analysis, economics, quantitative modelling, and data science, with experience drawn from both industry and advisory backgrounds in strategy, finance, treasury, risk, regulatory, commercial, and operational domains.Over the past three years … design and implementation of integrated balance sheet, liquidity, funding, and capital management frameworks.We drive large-scale transformation through content-centric programme leadership, augmented by data analytics, automation, and AI.Our approach is highly collaborative, often working in multi-disciplinary teams alongside other Deloitte practice areas and Service Lines to deliver ...

Anaplan Inc is looking for a Principal Data Scientist in Greater London to innovate across our AI applications. This role involves designing and implementing advanced Machine Learning and Generative AI solutions that elevate our industry-leading platform. You will collaborate with cross-functional teams to ensure the deployment ...

long-term vision. Shape the roadmap. Deliver the first implementation. Then scale it across the business. You will operate across Product, Engineering, Architecture, Data and Proposition teams, driving alignment and adoption in a complex, multi-brand environment Define and evolve a strategic roadmap that aligns with enterprise goals, customer … enterprise strategy into a clear, phased platform roadmaps. Partner closely with architecture and engineering to shape platform strategy. Partner with Fraud Operations, Risk, and Data Science teams to ensure the platform proactively responds to emerging fraud vectors and regulatory requirements. Establish platform guardrails and adoption criteria. Ensure platform ...

product and/or feature designs follow usability principles, accessibility standards, and align with the overall product vision.As part of the wider digital and data science roadmap, will lead the design of user experiences in the software that enable machine learning and AI powered features.Will own the planning … designers in agile or cross‐functional teamsAdditional Knowledge & SkillsStrong communication skills for presenting research findings, design rationale, and recommendations to stakeholders.Ability to work with data analytics (e.g., heatmaps, behavioural analytics, conversion metrics) to support UX decisions.Familiarity with information architecture, content structure, and interaction patterns across digital platforms.Familiar with ...

central team covering the breadth of Faculty’s Applied AI division. In partnership with our Business Units, we form multidisciplinary teams and work with data scientists, engineers and delivery colleagues to create durable AI-powered software solutions for clients across a variety of industries.Both product management and design … critical disciplines to create impact with AI. While data science and machine learning offer a powerful means to build insight and predictive capability, those insights are often consumed within a complex operational environment where human and organisational factors determine whether solutions are adopted and ultimately successful.Closing ...

customer and loyalty proposition. Analytics sits at the heart of decision-making, with strong visibility across senior stakeholders and a growing focus on data-driven customer engagement. The Role You will lead the analytics agenda for the loyalty programme, delivering insights that improve customer retention, frequency, and lifetime value. … enhancing reporting using SQL, Power BI, and Databricks Designing and evaluating tests across loyalty, rewards, and communications Partnering with Marketing, Ecommerce, Product, and Data Science teams to maximise programme performance Your Skills & Experience Strong SQL and data visualisation experience Experience in marketing analytics within a consumer-facing ...

team covering the breadth of the company’s Applied AI division. In partnership with our Business Units, we form multidisciplinary teams and work with data scientists, engineers and delivery colleagues to create durable AI-powered software solutions for clients across a variety of industries. Both product management and design … critical disciplines to create impact with AI. While data science and machine learning offer a powerful means to build insight and predictive capability, those insights are often consumed within a complex operational environment where human and organisational factors determine whether solutions are adopted and ultimately successful. Closing ...

строить надежные API на Python, интегрировать LLM с инструментами и данными и выносить решения в продакшн с учётом масштабируемости. Вы будете работать с Data Science, DevOps и инфраструктурой, наставлять коллег, развивать практики тестирования, мониторинга и релизов. Требуется глубокое владение Python, FastAPI, AWS, Docker, GitHub и CI/ ...

challenges in the products that sit at the heart of Lyst. Our team is split into small vertical functions that handle everything from data ingestion, to our website to our universal checkout systems. You could be leading the design of a new system to rapidly detect external fashion trends … allow you to help Lyst build and grow products currently used by millions of users globally. You will work closely with our current engineers, data scientists, designers and product managers to develop new product features and help us execute our product strategy, with a stack comprised of Python, JavaScript ...

economic capital You will maintain a deep understanding of, and be responsible for the challenging of, the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the BAU models, helping to create and deliver the effective communication required to bridge the gap between … Operational Teams and fellow Asset Risk output owners You will play a pivotal role in ensuring the AR Operational Teams (Programme, Product, Modelling and Data) work closely with each other to support on cross over areas (e.g. tools) and reduce the opportunity for knowledge gaps You will ...

cloud infrastructure. Responsibilities Building and deploying production-grade ML software, tools and infrastructure Developing scalable and reusable ML solutions Working closely with engineers, data scientists and clients Contributing to technical architecture and solution design Helping define best practices for deploying ML at scale Advising clients and translating complex ...

Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML systems. Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges. Leading technical scoping and architectural decisions to ensure project feasibility and impact. Defining and implementing ...

doing:Building and deploying production-grade ML software, tools, and infrastructure.Creating reusable, scalable solutions that accelerate the delivery of ML systems.Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.Leading technical scoping and architectural decisions to ensure project feasibility and impact.Defining and implementing Faculty’s standards ...

your team and the wider business unit. Acting as both a technical authority and a mentor, you’ll work alongside Machine Learning Engineers and Data Scientists to deliver production-grade solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. What you'll be doing ...

Creating reliable, reusable, and scalable frontend and backend architectures to enable the seamless delivery of advanced AI systems.Leading engineers within cross-functional teams—alongside Data Scientists and Product Managers—to deploy technically sophisticated, high-impact software.Designing and architecting robust project frameworks that maintain a balance between rapid prototyping ...