201 to 225 of 230 Data Scientist Jobs in the UK

scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Data Scientist Intern, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business … on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead teams … Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) Significant experience applying advanced analytics to a variety of business situations and a More ❯

A rapidly growing e-commerce company are looking for an experienced Data Scientist to join their team on a remote basis, with occasional travel to their offices on the South Coast - as such, this role is open to candidates across the UK. Your main focus will be developing data-led strategies and predictive models to help identify … you! Responsibilities will include: Build models to simulate risk scenarios and help identify, assess, and quantify risks. Analyse complex datasets to spot trends, patterns, and potential risk indicators. Translate data insights into practical strategies to reduce risk exposure. Create dashboards and reports to communicate risk insights across the business. Collaborate with data engineers to ensure clean, accurate, and … desirable Benefits: Salary up to £70,000 depending on experience Equity in the company Flexible working options Tenth Revolution Group/Nigel Frank are the go-to recruiter for Data and AI roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI More ❯

of these offerings is the tech enablement of vast datasets to inform key decision makers on energy market trends and provide valuable insights. Our clients value not only our data insights, but also our suite of short-term forecasting tools. This has been built in our Enact platform through a combination of machine-learning, optimisation and fundamental models within … been leading for the last 6 years. As a key area of focus and growth for LCP Delta, we are now looking to improve, scale and build-out our data science capabilities. Our mid-term strategy is to deploy technology across all our existing offerings, leveraging in-house data and skills to maximise our impact on the energy … transition. This role will directly contribute to that strategy. This is an exciting opportunity for a data scientist with experience in energy market forecasting experience to join our fast-growing team and to play a key role in our growth. The role will involve developing new and working on existing applications using our in-house databases. Our current More ❯

Partnered with a global Legal Services orgnisation who are searching for Permanent Lead Data Scientist to play a key role within the Product Function leading the development of enterprise grade Data solutions and advanced analytics capabilities. Scope of role: Play a key role to developing firms AI strategy and roadmap. Develop and implement Data Science and More ❯

power to create their own destiny and make a positive contribution to the world of banking and society. THE ROLE We are seeking a visionary and hands on Principal Data Scientist to lead the design, development, and deployment of cutting edge AI/ML solutions across our Banking AI portfolio. This role is central to Temenos' AI strategy … operate and serve their customers. You will work closely with product managers, engineers, and domain experts to build scalable, ethical, and high performing AI systems. You will also mentor data scientists, contribute to AI governance, and drive innovation in areas such as GenAI, LLMs, and predictive analytics. OPPORTUNITIES AI Strategy & Innovation Lead research and prototyping of novel AI techniques … models into scalable, cloud native and on prem systems. Establish best practices for model monitoring, retraining, and lifecycle management. Technical Leadership & Mentorship Provide technical direction and mentorship to junior data scientists and engineers. Review code, model architectures, and experiments to ensure scientific rigor and quality. Contribute to the development of internal AI frameworks, tools, and reusable components. Stakeholder Engagement More ❯

Build the Future of Conversational AI with ConnexAI As a Data Scientist on the Text-to-Speech (TTS) team, you will shape the voice of ConnexAI, bringing conversational intelligence to life through natural, expressive, and humanlike speech generation. You’ll research, design, and train SOTA TTS models that combine neural acoustic modelling, LLMs, and multimodal learning to produce … experiences. Develop text–audio alignment and context-aware TTS pipelines that adapt to semantic intent, dialogue context, and emotional tone. Work with large-scale speech and text corpora, managing data cleaning, augmentation, and multi-speaker dataset preparation for model training. Collaborate with speech engineers and linguists to integrate linguistic, phonetic, and prosodic features into training workflows. Optimise models for … research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in Speech & Signal Processing, Computational Linguistics, Computer Science, Data Science, or a related field. At least two years of hands-on commercial or academic experience in designing, training, and evaluating neural models for speech or language generation. Strong More ❯

Build the Future of Conversational AI with ConnexAI As a Data Scientist on the Text-to-Speech (TTS) team, you will shape the voice of ConnexAI, bringing conversational intelligence to life through natural, expressive, and humanlike speech generation. You’ll research, design, and train SOTA TTS models that combine neural acoustic modelling, LLMs, and multimodal learning to produce … experiences. Develop text–audio alignment and context-aware TTS pipelines that adapt to semantic intent, dialogue context, and emotional tone. Work with large-scale speech and text corpora, managing data cleaning, augmentation, and multi-speaker dataset preparation for model training. Collaborate with speech engineers and linguists to integrate linguistic, phonetic, and prosodic features into training workflows. Optimise models for … research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in Speech & Signal Processing, Computational Linguistics, Computer Science, Data Science, or a related field. At least two years of hands-on commercial or academic experience in designing, training, and evaluating neural models for speech or language generation. Strong More ❯

Build the Future of Conversational AI with ConnexAI As a Data Scientist on the Text-to-Speech (TTS) team, you will shape the voice of ConnexAI, bringing conversational intelligence to life through natural, expressive, and humanlike speech generation. You’ll research, design, and train SOTA TTS models that combine neural acoustic modelling, LLMs, and multimodal learning to produce … experiences. Develop text–audio alignment and context-aware TTS pipelines that adapt to semantic intent, dialogue context, and emotional tone. Work with large-scale speech and text corpora, managing data cleaning, augmentation, and multi-speaker dataset preparation for model training. Collaborate with speech engineers and linguists to integrate linguistic, phonetic, and prosodic features into training workflows. Optimise models for … research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in Speech & Signal Processing, Computational Linguistics, Computer Science, Data Science, or a related field. At least two years of hands-on commercial or academic experience in designing, training, and evaluating neural models for speech or language generation. Strong More ❯

Are you passionate about delivering real value to an organisation using advanced techniques in data science and machine learning? We are looking for multiple talented senior data scientists for our leading FinTech client. These role presents an opportunity for you to partner with stakeholders across all areas of the business, including marketing, risk, customer services and quants, to … deliver impactful data products using state-of-the-art machine learning technique Key Responsibilities Lead high-impact projects, being a technical thought leader and subject matter expert in classic Machine Learning as well as advanced and generative AI. Explore a variety of data from structured to unstructured data spanning client, operational and financial domains to identify opportunities … for data science that add value to the business. Advance the use of AI within the business by building our next generation data products, e.g. recommendation systems, chatbots, text analytics systems, pricing and hedging optimisation and automatic insight generation systems. Work with stakeholders from across the business to turn business problems into data science solutions. Mentor junior More ❯

AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Key Responsibilities Collaborate with ML scientists and … and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Qualifications Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, Matlab). Experience in algorithms and data structures, parsing, numerical optimization, data mining … parallel and distributed computing, high performance computing. Experience delivering customer engagements in a professional services role. Experience researching machine learning, deep learning, NLP, computer vision, data science. Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience. Preferred Qualifications Master's or PhD in computer science, engineering, mathematics, operations research, or a More ❯

Join a leading UK financial institution transforming the way data powers audit and assurance. You'll apply advanced analytics and data science techniques to drive innovation, enhance audit insights, and influence senior stakeholders across the Group. This is a hands-on role within a collaborative team committed to developing your technical and professional growth. Key Responsibilities Deliver advanced … analytics to assess control effectiveness and support audit delivery. Identify and apply innovative data science methods (e.g. Machine Learning, NLP, Generative AI) to enhance audit capabilities. Partner with audit teams to design, implement, and interpret analytical solutions. Promote data-driven culture through training, presentations, and innovation projects. Contribute to the development of analytics tools and methods within the … function. Maintain strong understanding of business processes, products, and risk frameworks. Key Requirements Proven experience using data analytics to support audit or risk functions. Strong proficiency in SQL and Python in a professional setting. Solid understanding of databases, data warehousing, and visualisation principles. Ability to explain complex technical topics to non-technical audiences. Experience with Power BI, Google More ❯

About the Role: The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the … and synthetic evaluation methods and metrics. Deploy NLP models while ensuring low latency, reliability, and scalability. Explore new methods for prompt engineering, model fine-tuning, optimization, document embeddings, and data chunking. Collaborate closely with product teams, business stakeholders, and engineers to ensure seamless integration of NLP models into production systems. Troubleshoot complex issues related to machine learning model development … and data pipelines, developing innovative solutions as needed. Actively research and identify the latest relevant methods and technologies in the field. What We're Looking For: Basic Required Qualifications: A degree in Computer Science, Mathematics, Statistics, Engineering or a related field. A solid understanding of Machine Learning and Deep Learning methods, along with their mathematical foundations. At least More ❯

Overview You're passionate about modern data science, staying abreast of the latest news and implementing recent discoveries into your day to day work. You're an innovator; can we do this better? How can we do things differently? Could we solve this quicker? Your mind is always occupied by these questions, what can be improved with data … get it wrong and try again. Through the innovative products they are building, Artificial Intelligence is becoming more accessible and businesses can enhance their own efficiencies. They get better data driven decisions from the wealth of information provided by the products. Data science underpins all of this. You will be key in developing advanced solutions within data … multiple projects across teams, allocating resources and effectively meeting project related goals. You'll apply the latest techniques, selecting the appropriate tools to build across each facet of the data pipeline. In place is a healthy amount of Python, SQL and R, in an AWS Serverless cloud environment. You'll utilise object oriented programming, and package building, having also More ❯

Remote Role – Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed … findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management. You … ll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM). Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team More ❯

Pest Management (IPM) Remote Role – Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices … findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management. You … ll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM). Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team More ❯

dynamic and ambitious law firm. The role: You’ll initially be working in a newly acquired Business of theirs, parachuted in to suss out their systems, see where their data lies, what it shows - build out some reports and provide recommendations – eventually looking at building strategies and help streamline some processes. You’ll use SQL and Python to a … and be familiar with Financial Data. Ideally collections and recoveries data. Key Responsibilities: Analyse performance of UK debt portfolios to identify opportunities for customer engagement optimisation. Utilise third-party data to enhance segmentation and targeting strategies. Streamline operational processes to improve efficiency and effectiveness. Collaborate with colleagues from an affiliated company to understand and develop business processes that support … engagement. Produce high-quality Management Information (MI) reports and dashboards using Power BI. Present analytical findings and strategic recommendations to internal stakeholders. Work with Operations to develop and execute data cleansing and enrichment processes to enhance value-added services for third-party clients. You: You’ll be Degree Educated in a quant field You’ll have solid SQL and More ❯

dynamic and ambitious law firm. The role: You’ll initially be working in a newly acquired Business of theirs, parachuted in to suss out their systems, see where their data lies, what it shows - build out some reports and provide recommendations – eventually looking at building strategies and help streamline some processes. You’ll use SQL and Python to a … and be familiar with Financial Data. Ideally collections and recoveries data. Key Responsibilities: Analyse performance of UK debt portfolios to identify opportunities for customer engagement optimisation. Utilise third-party data to enhance segmentation and targeting strategies. Streamline operational processes to improve efficiency and effectiveness. Collaborate with colleagues from an affiliated company to understand and develop business processes that support … engagement. Produce high-quality Management Information (MI) reports and dashboards using Power BI. Present analytical findings and strategic recommendations to internal stakeholders. Work with Operations to develop and execute data cleansing and enrichment processes to enhance value-added services for third-party clients. You: You’ll be Degree Educated in a quant field You’ll have solid SQL and More ❯

dynamic and ambitious law firm. The role: You’ll initially be working in a newly acquired Business of theirs, parachuted in to suss out their systems, see where their data lies, what it shows - build out some reports and provide recommendations – eventually looking at building strategies and help streamline some processes. You’ll use SQL and Python to a … and be familiar with Financial Data. Ideally collections and recoveries data. Key Responsibilities: Analyse performance of UK debt portfolios to identify opportunities for customer engagement optimisation. Utilise third-party data to enhance segmentation and targeting strategies. Streamline operational processes to improve efficiency and effectiveness. Collaborate with colleagues from an affiliated company to understand and develop business processes that support … engagement. Produce high-quality Management Information (MI) reports and dashboards using Power BI. Present analytical findings and strategic recommendations to internal stakeholders. Work with Operations to develop and execute data cleansing and enrichment processes to enhance value-added services for third-party clients. You: You’ll be Degree Educated in a quant field You’ll have solid SQL and More ❯

framework in place but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive business decisions, improve customer experiences, and create efficiencies You’ll be supporting credit risk initiatives to ensure the business is able to deliver against the annual operating … prioritize tasks to ensure that delivery is met. RESPONSIBILITIES Model Development and Implementation Developing predictive models for high impact areas, e.g. credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through validation and auditing processes. Evaluation of scorecard effectiveness, with accompanying documentation. Monitor the ongoing effectiveness of the scorecards to ensure their relevance and need for … customer journeys, allowing identification for potential improvements that can be quantified through analysis or tests. Identify areas where modelling can create uplift in decisions, efficiency, and costs. Explore new data sources and methodologies to improve the customer journey and decisions. Controlling Credit Risk Propose, monitor, and analyze credit decisions, taking into consideration the regulatory environment and customer impact. Evaluate More ❯

framework in place but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive business decisions, improve customer experiences, and create efficiencies You’ll be supporting credit risk initiatives to ensure the business is able to deliver against the annual operating … prioritize tasks to ensure that delivery is met. RESPONSIBILITIES Model Development and Implementation Developing predictive models for high impact areas, e.g. credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through validation and auditing processes. Evaluation of scorecard effectiveness, with accompanying documentation. Monitor the ongoing effectiveness of the scorecards to ensure their relevance and need for … customer journeys, allowing identification for potential improvements that can be quantified through analysis or tests. Identify areas where modelling can create uplift in decisions, efficiency, and costs. Explore new data sources and methodologies to improve the customer journey and decisions. Controlling Credit Risk Propose, monitor, and analyze credit decisions, taking into consideration the regulatory environment and customer impact. Evaluate More ❯

framework in place but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive business decisions, improve customer experiences, and create efficiencies You’ll be supporting credit risk initiatives to ensure the business is able to deliver against the annual operating … prioritize tasks to ensure that delivery is met. RESPONSIBILITIES Model Development and Implementation Developing predictive models for high impact areas, e.g. credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through validation and auditing processes. Evaluation of scorecard effectiveness, with accompanying documentation. Monitor the ongoing effectiveness of the scorecards to ensure their relevance and need for … customer journeys, allowing identification for potential improvements that can be quantified through analysis or tests. Identify areas where modelling can create uplift in decisions, efficiency, and costs. Explore new data sources and methodologies to improve the customer journey and decisions. Controlling Credit Risk Propose, monitor, and analyze credit decisions, taking into consideration the regulatory environment and customer impact. Evaluate More ❯

framework in place but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive business decisions, improve customer experiences, and create efficiencies You’ll be supporting credit risk initiatives to ensure the business is able to deliver against the annual operating … prioritize tasks to ensure that delivery is met. RESPONSIBILITIES Model Development and Implementation Developing predictive models for high impact areas, e.g. credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through validation and auditing processes. Evaluation of scorecard effectiveness, with accompanying documentation. Monitor the ongoing effectiveness of the scorecards to ensure their relevance and need for … customer journeys, allowing identification for potential improvements that can be quantified through analysis or tests. Identify areas where modelling can create uplift in decisions, efficiency, and costs. Explore new data sources and methodologies to improve the customer journey and decisions. Controlling Credit Risk Propose, monitor, and analyze credit decisions, taking into consideration the regulatory environment and customer impact. Evaluate More ❯

framework in place but are nimble enough to explore innovative ways of working and thinking. This role will have a diverse set of responsibilities, with a focus on leveraging data to drive business decisions, improve customer experiences, and create efficiencies You’ll be supporting credit risk initiatives to ensure the business is able to deliver against the annual operating … prioritize tasks to ensure that delivery is met. RESPONSIBILITIES Model Development and Implementation Developing predictive models for high impact areas, e.g. credit decisioning, fraud detection, and customer segmentation. Ensure data integrity and quality through validation and auditing processes. Evaluation of scorecard effectiveness, with accompanying documentation. Monitor the ongoing effectiveness of the scorecards to ensure their relevance and need for … customer journeys, allowing identification for potential improvements that can be quantified through analysis or tests. Identify areas where modelling can create uplift in decisions, efficiency, and costs. Explore new data sources and methodologies to improve the customer journey and decisions. Controlling Credit Risk Propose, monitor, and analyze credit decisions, taking into consideration the regulatory environment and customer impact. Evaluate More ❯

working will be part of the discussion at offer stage. Responsibilities You'll use your technical skills to deliver value to BBC audiences, blending a breadth and depth of data science expertise. You'll have impact within your immediate team and beyond, across the wider BBC, instrumental in developing scalable ML products. You'll bring experience of being an … of delivering ML in production. You'll be responsible for using your knowledge of different machine learning algorithms to solve complex problems effectively. You'll join the wider BBC Data Science community, with internal and external opportunities to get involved and share your knowledge. Skills and Experience Essential Criteria A strong understanding of data science and machine learning … but Not Required A proven track record of delivering value in production Knowledge of working with cloud services, and the main challenges involved Understanding and experience of experimentation within data science, e.g. A/B testing Experience with model lifecycle management and MLOps Experience mentoring other team members Additional Information If you can bring some of these skills and More ❯

You have: · Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.g., FastAPI, Flask, asyncio) · Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka) · Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure More ❯