1 to 25 of 44 Data Science Jobs in the City of Westminster

offices. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. … will trailblaze the development of data sciencealgorithms,while building, leading, nurturing and retaining a high performing data science team working on banner as well as group priorities. What's the job? Lead the implementation of data science projects and data science approaches ...

client is a global professional services and technology consultancy. Customer Data Strategy Consultant Consultant (CL9) London or Manchester Creative AI and Data We Are Our client accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design … help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: The Role Customer data has never been more valuable or more complex to activate. Brands are sitting on rich signals across every channel, but most are still struggling ...

Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building large-scale data sets … helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience ...

product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Preferred qualifications: 2 years of experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management. Experiences with experimental design and supervised/unsupervised ML approaches for regression and classification … thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your ...

Kingfisher is seeking a Lead Machine Learning Engineer to spearhead the research and development of ML/AI services within the Group Data Science team. You will trailblaze the development of data science algorithms while building, leading, nurturing and retaining a high-performing data science team across banner and group priorities. You will partner with technology, product and data teams to embed data science in our platforms and processes and to drive a strong data-driven culture across the #J-18808-Ljbffr ...

Data Analyst works hands-on with the datasets that feed the MSCI Data platform. The role has two primary purposes. First, to perform crude, first-pass analysis on datasets before integration - assessing their basic commercial value and quality readiness - so the team can decide quickly and confidently whether … dataset is worth onboarding. Second, to act as a quick-response team that creates new datasets from MSCI internal data: extracting value, aggregating and deriving novel datasets, and authoring the first working version of the methodology before partnering with Technology to scale and automate it. This is exploratory, judgement ...

advice on technology. With a team of 2,100 experts and consultants across 60 countries, Tech & AI works on key technology topics including big data, agile, cloud, cybersecurity, analytics and digital transformation. We serve a range of companies, including start-ups, the public sector and global Fortune 100 firms. … being for you and your family. YOUR QUALIFICATIONS AND SKILLS 2:1 or above in a Bachelor's degree in a technical field (computer science, mathematics, AI, machine learning, data science, engineering, etc.) Previous experience in a technology-related role, such as software engineer, data science ...

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. ...

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 ...

Senior Data Engineer Department: Engineering Employment Type: Full Time Location: London Compensation: £95,000 - £115,000/year Description TL;DR Kharon is seeking a full-time London-based Senior Data Engineer. Location: London, UK Annual Remuneration : £95,000 - £115,000 salary and discretionary annual bonus Pay Frequency … Monthly Probationary Period : 180 days Work Arrangement : Hybrid, 3-days per week RESPONSIBILITIES: Help build large-scale distributed automated data processing systems and data lakes, while optimizing for both computational and storage efficiency on AWS Databricks. Create data pipelines, infrastructure, and overall workflow orchestration to pull data ...

client is a customer data science company. Senior Applied Data Scientist London Full-time Hybrid About our client Our client is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every ...

client is a leading global investment bank. JOB DESCRIPTION Shape how hundreds of thousands of UK investors use data to make confident, informed investment decisions. Join a team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven products at scale. … This role offers meaningful scope to influence platform standards and mentor others while growing your technical and leadership impact. Job summary As a Lead Data Engineer at our client within Personal Investing, you will design, build, and operate a robust cloud-native data platform and pipelines that power ...

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. … customer-focused analytics leader to head up our Product Analytics function. This is a high-impact leadership role partnering with Product leadership to shape data-driven digital experiences across our direct-to-consumer products. You'll own the Product Analytics strategy, roadmap and delivery, using predictive modelling, experimentation, behavioural ...

successful delivery of complex technology projects and programs that will help reaching business goals across the firm. You will combine strong program leadership with data engineering depth to shape and deliver modern data platforms and data products in a highly regulated financial services environment. Your strong analytical … work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs and handling data according to sensitivity requirements. Identify and mitigate risks, proactively addressing potential roadblocks and implementing contingency plans to maintain project and program momentum Collaborate with ...

signals. This includes: Develop and continuously improve the tools that connect agents to critical information sources, including web access, semantic and hybrid retrieval, structured-data querying, internal APIs, and knowledge graphs. Design, implement, and evaluate agentic workflows and multi-agent systems that effectively balance exploration and exploitation, accuracy … QUALIFICATIONS Interest in or experience with global security, financial crime, sanctions, export controls, or related domains. 5+ years of professional experience in AI engineering, data science, software engineering, data engineering, or a closely related role. Strong proficiency in Python and SQL. Proven experience building and operating ...

doing it — you're in the right place. Find us on Instagram: @optimizely Optimizely is seeking an experienced Marketing Analytics Lead, to join our Data Services function. This role will be critical to helping optimize our decision-making abilities across the Marketing domain. This position will be responsible … creation, providing best in class insights and proposals for change, designing solutions and working cross-functionally to implement process and change within the organization. Data-Driven Action Requirements: Leverage large-scale marketing performance data using advanced analytics and data science techniques (e.g., predictive modeling, segmentation, regression ...

client is a customer data science company. Our client is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration ...

client is a customer data science company. Our client is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration ...

Data Scientist, Retrieval & Agentic Systems Department: Engineering Employment Type: Full Time Location: London Compensation: £90,000 - £105,000/year Description Location: London, UK Annual Remuneration : £90,000 - £105,000 and discretionary annual bonus Pay Frequency : Monthly Probationary Period: 180 days Work Arrangement : Hybrid, 3-days per week … Kharon is seeking a full-time Data Scientist, Retrieval & Agentic Systems based in London. RESPONSIBILITIES Owning and evolving Corestream, Kharon's risk intelligence feed — a dynamic platform that surfaces entity-level insights and topic-based risk narratives to customers Redesigning and improving Kharon's semantic search capabilities, opening ...

analysis. 3 years of experience in people management, in leading, mentoring, and developing technical and analytical teams. Experience writing, reviewing, and maintaining code for data manipulation and analysis using programming languages (such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative … fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand lift studies) for a major regional or global brand. Proficiency managing large, complex datasets. Knowledge of statistics (e.g., causal inference, predictive modeling, survey methodology ...

Senior Data Scientist, Graph Risk Analytics Department: Engineering Employment Type: Full Time Location: London Compensation: £105,000 - £120,000/year Description Location: London, UK Annual Remuneration : £105,000 - £120,000 and discretionary annual bonus Pay Frequency : Monthly Probationary Period: 180 days Work Arrangement : Hybrid, 3-days per week … Kharon is seeking a full-time Senior Data Scientist, Graph Risk Analytics based in London. RESPONSIBILITIES: Taking ownership of Kharon's risk propagation and entity analytics system — the engine that evaluates entities in our knowledge graph and surfaces meaningful risk signals to customers Designing and implementing complex analytical logic ...

delivery • Implement observability for AI services (logging/metrics/tracing), model performance monitoring, and quality/drift checks with actionable alerting Partner with data scientists, data engineers, platform teams, and governance/risk stakeholders to ensure end-to-end delivery meets control, auditability, and documentation expectations Translate … management Working knowledge of ML/DL frameworks and tooling (e.g. PyTorch/TensorFlow and the Python ML ecosystem) sufficient to collaborate effectively with data scientists and implement inference pipelines Experience working with complex, multi-layered datasets (including imbalanced data) and integrating data pipelines into AI services ...

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 … complex, multi-brand or multi-market environments Experience balancing commercial outcomes with technical constraints and regulatory requirements Strong stakeholder management across Engineering, Architecture, Data, Fraud, Security and Compliance Data-led decision making across performance, cost and fraud metrics Understanding of fraud prevention approaches (rules engines, tooling, machine learning ...