51 to 75 of 226 Data Science Jobs in Central London

opportunities. Working closely with analysts, developers and other technical specialists, you will have the opportunity to contribute to the development of analytical models and data-driven solutions within a fast-paced environment. We are looking for a highly analytical and forward-thinking individual who is comfortable working independently while … statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages to analyse data and develop quantitative solutions. Work closely with developers to implement analytical models and solutions. Back-test models against historical data and assess their ...

Accenture Song is seeking a Data Science Associate Manager (Customer) to lead analytics and AI initiatives in the UK. You will design and deliver data-driven customer solutions, guide model choices, and work with cross-functional teams to scale production deployments. The role requires hands-on data science delivery, strong Python skills, and the ability to communicate complex findings to senior stakeholders. London and Manchester collaboration is expected within a hybrid model. #J-18808-Ljbffr ...

architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment. Ensure production-grade AI/ML applications and tools are built, maintained … Technology, and Transformation teams to address and solve complex problems using AI/ML. Required Qualifications, Capabilities, and Skills: MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. Proven experience building and deploying AI applications in large-scale production environments. Experience with MLOps ...

Google is seeking a Data Science Manager within the Marketing Media Lab to translate business problems into investigative analytics and to guide a team in implementing data science solutions. You will lead projects, develop metrics, build models, and communicate recommendations to senior executives. You will partner … with cross-functional teams to drive data collection, insight generation, and impact assessment, fostering knowledge sharing and talent development in a fast-paced environment. #J-18808-Ljbffr ...

justifies it. Deploy ML-built components into production. Serving, integration with our client platform, and everything surrounding the model, in partnership with Decisioning and Data Science teams (who own what happens inside the model) and our engineering squads. Build reusable capability. Convert engagement learnings into shared tooling, templates … least one ML-built capability deployed to production with proper evals, monitoring and cost controls. This role is explicitly not ML model training or data science, and it is not a chatbot-prompting generalist: this is production software engineering with AI at its core. ...

solutions, productivity platforms and the ongoing development and scaling of their technology architecture. In this newly created role, you will head up the Data Science/Machine Learning team and take ownership of driving the adoption and implementation of AI across the business. This will include integrating … their products. Award-winning business and part of a wider financial services group. The Role - Head of Machine Learning Lead a small team of Data Scientists, with the role being predominantly technical alongside some people management. Drive the integration of ML and AI across the company's core SaaS ...

solutions, productivity platforms and the ongoing development and scaling of their technology architecture. In this newly created role, you will head up the Data Science/Machine Learning team and take ownership of driving the adoption and implementation of AI across the business. This will include integrating … their products. Award-winning business and part of a wider financial services group. The Role - Head of Machine Learning Lead a small team of Data Scientists, with the role being predominantly technical alongside some people management. Drive the integration of ML and AI across the company's core SaaS ...

financial guidance service, with execution in collaboration with Tech Ops. Model safety and performance for customer-facing AI is shared with our Decisioning and Data Science teams: they own what happens inside the model, you own everything surrounding it. Enable the do-ers. Give departments a working answer … risk assessment rather than blanket restriction - and make sure demand arrives through the front door. This role is explicitly not ML model development or data science, general cloud infrastructure ownership, or general engineering delivery - although our squads and engineering leads are customers of the platforms you build. ...

known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‐ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will … joining a growing team with significant influence on its future direction. The Role Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. Work closely with client teams ...

Global SaaS client is now seeking an experienced Data Analyst to join their Global Customer Success Data Science Team for a 10-month contract . You'll play a pivotal role in improving how they measure and deliver customer success, driving impact across Customer Experience, Digital Experience … Service Delivery, and Supportability. You will partner closely with cross-functional teams, and ensure that data informs strategy, enhances customer journeys, and scales operational excellence. Key Responsibilities Building robust data foundations : Collaborate with engineering to develop pipelines, improve data integrity, and establish clear metric definitions and governance ...

Data Engineer - London Salary: £60,000-£75,000 Dependent on Experience London: Hybrid working - 3 days per week in the office, 2 days home-based Job Ref: J13171 An exciting opportunity for a Data Engineer to join a growing technology business specialising in consumer data and analytics. … Working within a small, talented team of engineers, analysts and data scientists, you will play a hand-on role in developing and improving the data platform, building scalable data pipelines and working with large volumes of consumer data. Strong coding fundamentals across Python, SQL and Spark ...

Senior Data Scientist - International BAU & Operations London Hybrid Working Model 6 Months Contract + Extension £400 to £450 Inside IR35 A fast-growing, high-impact international organisation is seeking a hands-on Senior Data Scientist to take ownership of the day-to-day analytics engine and machine learning … make confident promotion and rollout decisions for marketing and product initiatives. Rapidly triage pipeline breaks, tracking gaps, and partner feed issues to maintain data integrity across the International ecosystem. Handle time-sensitive data extraction requests-including FCA regulatory returns, DSARs (Data Subject Access Requests), Right ...

management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers … will lead the design of enterprise AI operating models, governance andresponsible-AIprograms, and guide clients through implementation,adoptionand value realization. Partnering closely with data scientists, machine learningengineersand technology teams, you will ensure that technical solutions stay aligned to commercialobjectivesand scale effectively. You will manage scope, timelines,risksand quality across ...

global travel suppliers (like major airlines) and many more. As a leader on the Analytics team, you'll play a pivotal role in developing data-driven strategies that power our B2B marketplace. You'll lead a talented team of analytics professionals, fostering excellence and innovation while partnering with senior … techniques, machine learning concepts, and statistical methods to create meaningful change for our B2B partners Establish best practices for analytics engineering, model development, and data visualization across the broader analytics organization Develop talent management strategies including recruitment, performance evaluation, succession planning, and cross-functional development opportunities Foster collaboration with ...

teams to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and employees. A singular technology platform powered by data, machine learning, and AI provides secure, differentiated, and personalised experiences that build loyalty and traveler satisfaction. In this role, you will: Develop, evaluate … improve machine learning models and algorithms for Content AI applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance and guide technical ...

Software Engineer programme first. You may work with AI-enabled solutions, but if your real focus is artificial intelligence, machine learning or data science, our Data Science programme is likely the better route. Note: We cannot sponsor visas. Locations London Halifax Leeds Bristol Manchester Edinburgh ...

generate tailored investigative questions. The product is moving from controlled experimentation towards production and broader use, with success dependent on safe AI, high-quality data, operational adoption, measurable outcomes and effective integration with colleague tooling. What you'll do: Work as the delivery team-facing Product Owner, providing clear … scams use cases where evidence supports expansion. Turn Fraud Operations needs into a prioritised product backlog covering investigator journeys, summaries, explanations, investigative questions, data sources and future specialist agents. Lead discovery, experiments and evaluation with investigators, using qualitative feedback and measurable evidence to decide whether to stop, pivot, improve ...

About IG Group Job Title Principal Data Engineer Job Description So, who are we? IG Group is a FTSE 100 fintech operating across five continents, serving over 1.3m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn’t pivot to innovation … give you the platform to define what comes next. Join us at IG – the future gets built here. Your team IG’s Data function is a central capability serving both central and divisional business lines across the entire IG estate. The Data Engineering team is responsible ...

Data Engineer - AWS, Spark & AI Salary: £60,000-£75,000 Dependent on Experience London: Hybrid working - 3 days per week in the office, 2 days home-based Job Ref: J13171 Join a fast-growing technology start-up where you'll have the freedom to experiment with cutting-edge data and AI technologies, solve interesting problems and make a visible impact from day one. Working alongside a talented team of engineers, analysts and data scientists, you won't be confined to one small part of the platform. You'll build scalable pipelines, work with large volumes of consumer ...

deploy artificial intelligence and machine-learning systems for clinical and healthcare applications. The role sits at the intersection of clinical practice, software engineering, data science, and AI , with a strong focus on patient safety, model reliability, regulatory compliance, and real-world clinical impact. The successful candidate will work … closely with clinicians, data scientists, ML engineers, software engineers, product teams, and regulatory/quality specialists to translate clinical needs into safe and deployable AI solutions. Key responsibilities Design and develop AI/ML systems for clinical decision support, clinical workflows, medical imaging, patient monitoring, or other healthcare applications. ...

leading hospitality technology organisation using AI to help operators stay perfectly staffed as demand changes by the hour. We’re hiring a Senior Data Engineer to take ownership of the data infrastructure and pipelines powering analytics, forecasting and production machine learning. Location: Camden, London (office-first, 4 days …/week on-site ) | Type: Permanent, full-time (40 hours) The Role Be a core technical owner of the data platform, ensuring reliable, high-quality data from ingestion to production use cases Build and maintain robust ETL/ELT pipelines and the infrastructure behind them Partner closely with ...

looking to make a difference in how the latest clinical trials progress into the market? Do you have a background in data science and/or computer science with experience working with AI tools for interactive AI applications across various IT systems? If so, we have … learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning; Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature engineering, model selection, and hyperparameter tuning; and Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models ...

opportunities within sports data. Working closely with experienced analysts, developers and trading teams, you will play an important role in improving models and supporting data-driven decision‐making. This is an exciting opportunity for a quantitatively minded individual who is passionate about mathematics, statistics, data and sport … techniques to sports data. Identify patterns, trends and opportunities within large datasets. Work closely with analysts, developers and traders to improve quantitative models. Use data science techniques to support trading strategies and decision‐making. Build, test and validate models using historical and live data. Continuously assess model performance ...

will design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes. You will collaborate with software engineers, AI and data science specialists, operations stakeholders, and business partners to improve operational workflows, controls, and the software development lifecycle. You will focus on hands … engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness. You will build domain knowledge across Markets Operations and translate real workflow pain points into durable solutions. You will contribute to a culture of innovation, collaboration, and engineering excellence. Job Responsibilities Contribute to technology and architecture patterns ...

organisation to maximise on the power of its data. The successful candidate would be: Working in an agile scrum team to design and build data feeds and related applications Writing, testing and peer review of ETL code in Oracle ODI, dbt, Snowflake and AWS. Working with business users … design and configure self-serve data environments within our data warehouse and data lake Analysing, developing, delivering, and managing BI reports Assisting in the design of the data processes, including data quality, reconciliation, testing, and governance Contributing to technical process improvement initiatives Releasing and supporting ...