576 to 600 of 802 Data Science Jobs in London

Client Success Engineer: AI/Data Solutions (London/Peterborough/Doncaster Hybrid) Contract: Part-time to Full-time Transition Location: London and Peterborough, with ad-hoc travel to Doncaster Duration: Initial 2–3 months, with potential for extension or permanent conversion We are partnering with a leading AI and data consultancy to hire a Client Success Engineer … who will play a key role in bridging technical capability with client strategy. You will help clients adopt and optimise AI-driven tools and data platforms, ensuring successful outcomes and measurable value from digital transformation initiatives. The Role Work closely with clients to understand technical requirements, design AI solutions, and manage delivery Collaborate with technical and commercial teams to … year with potential for permanent transition Regular on-site work at client offices in London and Peterborough with occasional travel to Doncaster About You Strong technical background in software, data science, or machine learning Experience engaging directly with enterprise clients and stakeholders Skilled at problem-solving, rapid prototyping, and managing multiple priorities Confident communicator with a collaborative, delivery More ❯

personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great … initiatives. Analyze DSP performance metrics (e.g., win rates, CPM, CTR, eCPIs) and collaborate with internal teams (Product, Engineering, Operations) to improve traffic quality, auction mechanics, and outcomes. Partner with data science and yield teams to uncover opportunities for bid density, price optimisation, and DSP-specific tuning. Work closely with the product, marketing, and operationsteams to constantly optimise efforts … levers used by DSPs (e.g., ROAS, eCPI, retention). Subject matter expert in performance UA and retargeting. Speak the language of CPA, ROAS, LTV, SKAN, and incrementality. Analytical and data-driven, comfortable with dashboards, cohort analysis, and performance metrics. Excellent communication and stakeholder management skills. Experience working with SDK-based inventory and knowledge of MMPs (Adjust, Appsflyer, Kochava) is More ❯

on a mission to reinvent how people interact with their finances: making money management simpler, smarter, and more personal. ApTap connects brands and consumers like never before, by enabling data-driven, end-to-end, fully embedded user experiences within banking apps. We've already saved British consumers hundreds of thousands of pounds, working with banks like Barclays, BNP Paribas … Lloyds, Halifax, TSB Bank, and more. From product design to marketing to data science, we're integrating cutting-edge AI tools and machine learning models across our stack to accelerate growth and deliver real value to banks, brands, and consumers alike. We're a scale-up with big ambitions. That means joining us is an opportunity to make … marketing campaigns. Growth opportunities: Clear paths to leadership roles as we scale, plus support to develop new skills. Collaborative team: You'll work closely with product, partnerships, tech, and data teams in a culture built on trust and curiosity. Mission-driven work: Be part of reshaping financial services for the better. What You'll Do Own B2B lead generation More ❯

Data Scientist - £55,000-£70,000 - Remote A fast-growing UK tech company is seeking a Data Scientist to join their dynamic team. This is a unique opportunity to be part of a business that's scaling rapidly and making waves in the e-commerce space. This company has recently been recognised as one of the UK's … everywhere. The team is collaborative, ambitious, and thrives in a fast-paced, ever-evolving environment. You'll be part of a close-knit group driving real change. As their Data Scientist, you'll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You'll work closely with cross-functional teams … models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for stakeholders. Collaborate with data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with More ❯

. In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. The role is hybrid with … domain-driven architecture, and concurrency. Familiarity with the OpenAPI specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations More ❯

. In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. The role is hybrid with … domain-driven architecture, and concurrency. Familiarity with the OpenAPI specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations More ❯

. In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. The role is hybrid with … domain-driven architecture, and concurrency. Familiarity with the OpenAPI specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations More ❯

. In this role, you'll be a key contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. The role is hybrid with … domain-driven architecture, and concurrency. Familiarity with the OpenAPI specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations More ❯

Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent More ❯

Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent More ❯

Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent More ❯

Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent More ❯

ChatGPT, Claude, and Perplexity to enhance prompt performance and relevance. Support the design and implementation of AI-powered chatbots within DealCloud to improve user interaction and automation. Collaborate with data engineers and visualisation specialists to embed AI-driven insights into dashboards and business workflows. Continuously monitor and improve prompt effectiveness, ensuring contextual accuracy and user satisfaction. Maintain clear documentation … translate business requirements into prompt strategies and AI-driven solutions. Familiarity with Capsa and Filament Sifter platforms is a strong plus. Ability to work cross-functionally with product managers, data scientists, and business stakeholders. Strong documentation skills for prompt libraries, use cases, and performance metrics. Experience collaborating with external AI vendors and managing technical partnerships. Understanding of ethical AI … principles, bias mitigation, and responsible AI deployment. Familiarity with data privacy regulations (e.g., GDPR, HIPAA) and secure data handling practises. Excellent communication and documentation skills. Strong analytical and problem-solving skills. Ability to work independently. More ❯

and eager to experiment with GenAI development tools 🌍 Why You'll Love It Here Remote-first culture with monthly in-person meetups across the UK & Europe Work alongside engineers, data scientists and product leaders shaping the future of delivery intelligence Inclusive, merit-based environment, where feedback fuels growth Real impact: build software used by some of the world's More ❯

e.g. multilingual vectorisation, search, taste-matching) using third-party and custom models Establishing our engineering culture, coding standards and technical direction Growing and leading a team of engineers and data scientists as we scale About You Full-stack engineering background, comfortable across frontend and backend Familiar with modern JS/TS frameworks , React, ) and cloud (AWS or similar) Experience More ❯

e.g. multilingual vectorisation, search, taste-matching) using third-party and custom models Establishing our engineering culture, coding standards and technical direction Growing and leading a team of engineers and data scientists as we scale About You Full-stack engineering background, comfortable across frontend and backend Familiar with modern JS/TS frameworks , React, ) and cloud (AWS or similar) Experience More ❯

team. The ideal candidate will be responsible for developing and maintaining .NET applications while integrating AI and machine learning capabilities to enhance business solutions. You will collaborate closely with data scientists, software engineers, and business stakeholders to deliver intelligent and scalable applications. Key Responsibilities: Design, develop, and maintain .NET applications (C#, ASP.NET Core, .NET 6/7) Integrate AI …/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date with emerging technologies … .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in More ❯

team. The ideal candidate will be responsible for developing and maintaining .NET applications while integrating AI and machine learning capabilities to enhance business solutions. You will collaborate closely with data scientists, software engineers, and business stakeholders to deliver intelligent and scalable applications. Key Responsibilities: Design, develop, and maintain .NET applications (C#, ASP.NET Core, .NET 6/7) Integrate AI …/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date with emerging technologies … .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in More ❯

team. The ideal candidate will be responsible for developing and maintaining .NET applications while integrating AI and machine learning capabilities to enhance business solutions. You will collaborate closely with data scientists, software engineers, and business stakeholders to deliver intelligent and scalable applications. Key Responsibilities: Design, develop, and maintain .NET applications (C#, ASP.NET Core, .NET 6/7) Integrate AI …/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date with emerging technologies … .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in More ❯

team. The ideal candidate will be responsible for developing and maintaining .NET applications while integrating AI and machine learning capabilities to enhance business solutions. You will collaborate closely with data scientists, software engineers, and business stakeholders to deliver intelligent and scalable applications. Key Responsibilities: Design, develop, and maintain .NET applications (C#, ASP.NET Core, .NET 6/7) Integrate AI …/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date with emerging technologies … .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in More ❯

new features and enhancements. Conduct code reviews and ensure adherence to best practices. Team Leadership: Lead and mentor the development team in the London office. Facilitate collaboration between developers, data scientists, and product managers. Coordinate with the CTO to align the team's efforts with company objectives. Project Management: Define project scopes, timelines, and deliverables. Monitor progress and adjust … Keep up-to-date with emerging technologies and industry best practices. Integrate relevant advancements into the company's technology stack. Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Experience: Minimum of 7 years of professional experience in software development. At least 3 years in a system architect or senior developer role. More ❯

Fixed Income Data Scientist - London Join a high-performing global investment environment where data is at the core of decision-making. This is a unique opportunity to build cutting-edge data capabilities from the ground up, directly influencing how investments are analysed, modelled, and executed. The Role You'll take ownership of designing and implementing an in … house data warehouse, integrating diverse sources into a scalable, high-performing platform. Your work will enable advanced analytics, drive automation, and create long-term foundations for forecasting and performance modelling. You'll partner closely with investment teams, ensuring your solutions have direct and visible business impact. What You'll Bring Strong programming and database expertise (SQL, Snowflake, Spark or … similar). Proven experience with data pipelines/integration tools (DBT, Dagster). Solid understanding of data modelling, architecture, and cloud infrastructure. Exposure to visualization tools (Tableau, Power BI) or Intex is a plus. A proactive mindset with the drive to innovate and collaborate globally. Why Apply Shape the data strategy within a world-class investment setting. More ❯

Data Scientist - Finance/Investments London – 5 days in office Up to £120,000 + Strong Bonus Potential About the Role We are working with a leading hedge fund and alternative investment firm, specialising in global macro strategies with a particular emphasis on inflation modelling and the wider economic landscape. They are looking for a Data Scientist to … cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine learning models, with a focus on time-series forecasting. Collaborating with data scientists and researchers to productionise models. Managing both cloud-based and on-premise infrastructure. Ensuring reliability and scalability of ML systems in production. What We’re Looking For 3+ … years of experience in Data Science. Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). More ❯

Data Scientist - Finance/Investments London – 5 days in office Up to £120,000 + Strong Bonus Potential About the Role We are working with a leading hedge fund and alternative investment firm, specialising in global macro strategies with a particular emphasis on inflation modelling and the wider economic landscape. They are looking for a Data Scientist to … cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment. Key Responsibilities Building machine learning models, with a focus on time-series forecasting. Collaborating with data scientists and researchers to productionise models. Managing both cloud-based and on-premise infrastructure. Ensuring reliability and scalability of ML systems in production. What We’re Looking For 3+ … years of experience in Data Science. Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). More ❯

Machine Learning Lead - Agentic AI, NLP & Generative AI Central London (Hybrid - 3 days/week in office) Up to £120,000 Shares + Benefits A fast-growing Data & AI Product-based company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious products, shaping the … and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest AI frameworks, libraries, and cloud tools. Champion best practices in More ❯