201 to 225 of 535 Data Science Jobs in Central London

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

Areti is currently seeking five Senior Data Scientists/Analysts to join one of the UK’s fastest-growing Series A-funded tech startups based in London . This is an exciting opportunity to be part of a dynamic, mission-driven company working on high-impact Defence and Government projects. Extensive training provided – including Palantir – making this a career … defining role . 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience … as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background More ❯

Areti is currently seeking five Senior Data Scientists/Analysts to join one of the UK’s fastest-growing Series A-funded tech startups based in London . This is an exciting opportunity to be part of a dynamic, mission-driven company working on high-impact Defence and Government projects. Extensive training provided – including Palantir – making this a career … defining role . 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience … as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background More ❯

Data & Consulting Associate Location: South West London (Hybrid) Salary: £35,000 - £40,000 + annual bonus Reports to: Head of Analytics & Consulting Start date: November 2025 (ASAP start preferred) About the Company Our client is a leading analytics and management consultancy that combines predictive analytics , machine learning , and systems thinking to help major organisations make evidence-based strategic decisions. … performance improvement for clients across sectors including energy, manufacturing, financial services, and technology. Their mission is simple: to replace assumption with analysis — helping leaders make better decisions through rigorous data and scientific insight. The Opportunity This is an excellent opportunity for a top UK STEM graduate to join a highly respected consulting and analytics team operating at the intersection … of data science , business strategy , and organisational transformation . As a Data & Consulting Associate , you will work alongside experienced consultants and data scientists on projects that analyse company performance and identify the key drivers of strategic and operational success. You’ll apply quantitative methods, benchmarking models, and analytical frameworks to guide business improvement and support senior More ❯

Data & Consulting Associate Location: South West London (Hybrid) Salary: £35,000 - £40,000 + annual bonus Reports to: Head of Analytics & Consulting Start date: November 2025 (ASAP start preferred) About the Company Our client is a leading analytics and management consultancy that combines predictive analytics , machine learning , and systems thinking to help major organisations make evidence-based strategic decisions. … performance improvement for clients across sectors including energy, manufacturing, financial services, and technology. Their mission is simple: to replace assumption with analysis — helping leaders make better decisions through rigorous data and scientific insight. The Opportunity This is an excellent opportunity for a top UK STEM graduate to join a highly respected consulting and analytics team operating at the intersection … of data science , business strategy , and organisational transformation . As a Data & Consulting Associate , you will work alongside experienced consultants and data scientists on projects that analyse company performance and identify the key drivers of strategic and operational success. You’ll apply quantitative methods, benchmarking models, and analytical frameworks to guide business improvement and support senior More ❯

Builder products. They operate autonomously, owning the full lifecycle of their projects from conception to deployment, and providing technical guidance to junior modellers. This role reports directly to the Data Science Manager and is an integral part of our Data Science - Core Modelling function. Key Responsibilities: Design, develop, and implement advanced mathematical and statistical models for … and statistical modelling, specifically applied to sports betting, including a strong understanding of complex statistical distributions and Monte Carlo simulations. Highly proficient in Python for all modelling, analysis, and data manipulation work. Strong experience in back testing, validation, and performance evaluation of quantitative models. Solid understanding of the end-to-end model development and deployment lifecycle in a production … attention to detail, precision in delivery, and strong problem-solving abilities. Demonstrated ability to manage own workload and lead projects with a high degree of self-direction. Experience with data visualisation libraries (e.g., matplotlib, seaborn, plotly) and creating basic reports in BI tools like Tableau. More ❯

Builder products. They operate autonomously, owning the full lifecycle of their projects from conception to deployment, and providing technical guidance to junior modellers. This role reports directly to the Data Science Manager and is an integral part of our Data Science - Core Modelling function. Key Responsibilities: Design, develop, and implement advanced mathematical and statistical models for … and statistical modelling, specifically applied to sports betting, including a strong understanding of complex statistical distributions and Monte Carlo simulations. Highly proficient in Python for all modelling, analysis, and data manipulation work. Strong experience in back testing, validation, and performance evaluation of quantitative models. Solid understanding of the end-to-end model development and deployment lifecycle in a production … attention to detail, precision in delivery, and strong problem-solving abilities. Demonstrated ability to manage own workload and lead projects with a high degree of self-direction. Experience with data visualisation libraries (e.g., matplotlib, seaborn, plotly) and creating basic reports in BI tools like Tableau. More ❯

Job Title: Data Consultants - Multiple Positions ranging from Junior to Senior Principal Location: London (Hybrid – Flexible working with client site travel required) Salary: Competitive, based on experience (from 1 year to Principal level) -Multiple positions required Clearance Requirement: Active SC or DV Clearance is essential About the Company Leading consultancy partner headquartered in London Rapidly growing with ambitious expansion … plans Collaborative and forward-thinking culture Focused on delivering data solutions that drive measurable business impact Role Overview Broad role spanning data science, engineering, analytics, and strategy Client-facing position with opportunities across diverse industries Design, implement, and optimize end-to-end data solutions Work on high-impact, dynamic projects with flexibility to innovate Key Responsibilities … Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace with evolving technologies and techniques Candidate Profile More ❯

Job Title: Data Consultants - Multiple Positions ranging from Junior to Senior Principal Location: London (Hybrid – Flexible working with client site travel required) Salary: Competitive, based on experience (from 1 year to Principal level) -Multiple positions required Clearance Requirement: Active SC or DV Clearance is essential About the Company Leading consultancy partner headquartered in London Rapidly growing with ambitious expansion … plans Collaborative and forward-thinking culture Focused on delivering data solutions that drive measurable business impact Role Overview Broad role spanning data science, engineering, analytics, and strategy Client-facing position with opportunities across diverse industries Design, implement, and optimize end-to-end data solutions Work on high-impact, dynamic projects with flexibility to innovate Key Responsibilities … Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace with evolving technologies and techniques Candidate Profile More ❯

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to … production-level coding practices, including unit testing and documentation. Communicate complex technical concepts to non-technical stakeholders. What We’re Looking For 3+ years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets … libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical findings to business audiences in clear, concise English. Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship. More ❯

The Role As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by … cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies More ❯

The Role As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by … cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies More ❯

Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. -Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). -Strong understanding of data engineering, data pipelines, and ETL workflows. -Excellent problem-solving, communication, and stakeholder engagement skills. -Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Job Title: Data Consultants - Multiple Positions ranging from Junior to Senior Principal Location: London (Hybrid – Flexible working with client site travel required) Salary: Competitive, based on experience (from 1 year to Principal level) -Multiple positions required Clearance Requirement: Active SC or DV Clearance is essential About the Company Leading consultancy partner headquartered in London Rapidly growing with ambitious expansion … plans Collaborative and forward-thinking culture Focused on delivering data solutions that drive measurable business impact Role Overview Broad role spanning data science, engineering, analytics, and strategy Client-facing position with opportunities across diverse industries Design, implement, and optimize end-to-end data solutions Work on high-impact, dynamic projects with flexibility to innovate Key Responsibilities … Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace with evolving technologies and techniques Candidate Profile More ❯

Job Title: Data Consultants - Multiple Positions ranging from Junior to Senior Principal Location: London (Hybrid – Flexible working with client site travel required) Salary: Competitive, based on experience (from 1 year to Principal level) -Multiple positions required Clearance Requirement: Active SC or DV Clearance is essential About the Company Leading consultancy partner headquartered in London Rapidly growing with ambitious expansion … plans Collaborative and forward-thinking culture Focused on delivering data solutions that drive measurable business impact Role Overview Broad role spanning data science, engineering, analytics, and strategy Client-facing position with opportunities across diverse industries Design, implement, and optimize end-to-end data solutions Work on high-impact, dynamic projects with flexibility to innovate Key Responsibilities … Translate client challenges into actionable data solutions Develop and deploy scalable data pipelines and architectures Perform data analysis, modeling, and machine learning tasks Deliver actionable insights via reports, dashboards, and visualizations Advise on data governance, compliance, and best practices Collaborate across multidisciplinary teams to deliver project goals Keep pace with evolving technologies and techniques Candidate Profile More ❯

collaborate on multi-solution and multi-platform solutions and scoping Lead customer-facing workshops, demos, and hands-on labs Provide deep domain expertise in client business, technology stack, and data infrastructure, complemented by a wide-ranging knowledge base in digital marketing Provide thought leadership in the marketing technology space and help Bounteous differentiate as the go-to partner in … this space Develop deep knowledge of each client's business and available data to ensure platform solutioning is in alignment with client's marketing objectives Translate business needs into detailed technical requirements for platform configuration, initial architecture(s), data schemas and system integrations to deliver against business needs Oversee and steer client programs and development work to meet … ability to inspire, engage, partner with, and influence senior leadership Excellent verbal and written communication skills Digitally-savvy and well-informed on innovations, trends, and technologies Degree in Computer Science, Data Science, Analytics, or related field or equivalent work experience preferred If you are ready to take on a challenging role as a multi-solution platform architect More ❯

collaborate on multi-solution and multi-platform solutions and scoping Lead customer-facing workshops, demos, and hands-on labs Provide deep domain expertise in client business, technology stack, and data infrastructure, complemented by a wide-ranging knowledge base in digital marketing Provide thought leadership in the marketing technology space and help Bounteous differentiate as the go-to partner in … this space Develop deep knowledge of each client's business and available data to ensure platform solutioning is in alignment with client's marketing objectives Translate business needs into detailed technical requirements for platform configuration, initial architecture(s), data schemas and system integrations to deliver against business needs Oversee and steer client programs and development work to meet … ability to inspire, engage, partner with, and influence senior leadership Excellent verbal and written communication skills Digitally-savvy and well-informed on innovations, trends, and technologies Degree in Computer Science, Data Science, Analytics, or related field or equivalent work experience preferred If you are ready to take on a challenging role as a multi-solution platform architect More ❯

Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Senior Product Designer - £80,000 - Data & Analytics - London A leading data and analytics organisation is seeking a Senior Product Designer to help shape the next generation of data-driven insights products. This role offers the opportunity to transform complex data into intuitive, visually engaging experiences that empower businesses to make smarter, evidence-based decisions. The Senior … Product Designer will take end-to-end ownership of the design process - from research and concept creation to prototyping and delivery - working at the intersection of data, design, and technology. Collaborating closely with product managers, engineers, data scientists, and analysts, this role will play a pivotal part in defining how users interact with analytical tools and visualise information … at scale. Key Responsibilities Lead the design strategy for products focused on data analytics, insights, and performance benchmarking. Translate complex datasets into clear, engaging, and interactive user experiences. Own the full design lifecycle - from discovery and user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data More ❯

Senior Product Designer - £80,000 - Data & Analytics - London A leading data and analytics organisation is seeking a Senior Product Designer to help shape the next generation of data-driven insights products. This role offers the opportunity to transform complex data into intuitive, visually engaging experiences that empower businesses to make smarter, evidence-based decisions. The Senior … Product Designer will take end-to-end ownership of the design process - from research and concept creation to prototyping and delivery - working at the intersection of data, design, and technology. Collaborating closely with product managers, engineers, data scientists, and analysts, this role will play a pivotal part in defining how users interact with analytical tools and visualise information … at scale. Key Responsibilities Lead the design strategy for products focused on data analytics, insights, and performance benchmarking. Translate complex datasets into clear, engaging, and interactive user experiences. Own the full design lifecycle - from discovery and user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data More ❯

BuzzFeed UK, Tasty, Seasoned and HuffPost UK. The additional brands echo the existing business ethos and allow for increased audiences and a further strategic diversification of revenue streams. The Data & Marketing Department The Data & Marketing department is the intelligence powerhouse of the business, representing the customer. Our goal is to inspire, engage and grow a loyal readership by … harnessing data-driven insights and innovative marketing to deliver personalised, impactful content experiences that builds lasting trust, diverse revenue streams, and a thriving future for quality journalism. The department consists of four teams: Data Science & Engineering, Data Intelligence & Monetisation, Research & Insight and Customer Marketing. Job Purpose As The Independent continues to evolve as a data … Head of Customer Analytics is needed to lead the development and growth of our Reader Revenues (Customer Marketing) propositions and Anonymous-to-Known (A2K) strategy for collecting first-party data in the UK, US and ROW. This role spans our reader subscription base, as well as those who contribute and our registered user base, and will be critical in More ❯

customer value through intelligent automation and experimentation. Why this role matters You’ll define and deliver the pricing vision, roadmap, and strategy across all customer channels. Partner with engineering, data science, and commercial teams to design and deploy algorithmic and ML-driven pricing systems. Lead the modernisation of pricing infrastructure to ensure scalability, flexibility, and performance. Influence core … autonomy environment that values pragmatism, curiosity, and real impact. What you’ll be doing Build and evolve ML-driven pricing models that optimise sales, profit, and competitiveness. Partner with data science and engineering teams to deploy and iterate pricing algorithms. Define and deliver a product roadmap that balances innovation with speed-to-value. Collaborate closely with cross-functional … stakeholders to identify opportunities, set priorities, and measure success. Champion data-informed decision-making and drive the adoption of pricing tools and capabilities across the business. You’ll bring Proven experience leading pricing or revenue optimisation products at scale. Strong background working with or delivering ML-driven pricing or decisioning systems. Commercial intuition, you understand how pricing decisions translate More ❯