51 to 75 of 1,078 Remote Data Science Jobs

Senior Data Scientist at AJ Bell (Sponsorship Available) AJ Bell is looking for an experienced and driven Senior Data Scientist to join its dynamic team in Manchester, United Kingdom. This is a fantastic opportunity to contribute to data-driven innovation within one of the UK's leading investment platforms. Visa sponsorship may be available for exceptional candidates. … The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions that drive business strategy … experience, and enhance operational efficiency. Join AJ Bell and be part of a forward-thinking organisation that values expertise, innovation, and continuous learning in a collaborative environment. Position: Senior Data Scientist Job Type: Full-Time Location: Manchester About the Role Hackajob is partnering with AJ Bell to fill this position. Create a profile to be automatically considered for this More ❯

Senior Data Scientist (Natural Language Processing) Total Remuneration: £57,879 to £68,146 Pay Supplement: The base salary for this role is £46,677 - £54,957 This job qualifies for Digital, Data and Technology Annual Pay supplement of 24% which is included in the total remuneration above. Pension: 28.97% of base salary (RoS contribution) Annual Leave: 38 days … We work to create digital solutions for the people of Scotland. You will get an opportunity to nurture your creativity and develop with us through access to the latest data, software engineering and product delivery techniques. This job is for you if you want Work with purpose: working for the people of Scotland to set the bar for land … learn more about RoS and what we offer visit our careers pages or watch this short video. Hear from our colleagues about their experience of working within our Digital, Data and Technology teams on our website. The Role This is an exciting new role aimed at growing our data science capability, and the adoption of data More ❯

history building globally awarded AI businesses (e.g. achieving a top-10 Gartner rating for AI-led insight) and investing heavily into team and individual development. Role Description As a Data Scientist, you will be part of our Data & Innovation team. We are developing and integrating a corpus of cross-channel digital signals from multiple datasets to uncover insights … on AI enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform … data (both structured and unstructured) for analysis · 4+ years of experience in applying ML/statistical methodologies on large datasets of respondent level, log file, or transactional level · Ambitious and open to learning many more ML and statistical methods, under mentorship of some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production More ❯

history building globally awarded AI businesses (e.g. achieving a top-10 Gartner rating for AI-led insight) and investing heavily into team and individual development. Role Description As a Data Scientist, you will be part of our Data & Innovation team. We are developing and integrating a corpus of cross-channel digital signals from multiple datasets to uncover insights … on AI enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform … data (both structured and unstructured) for analysis · 4+ years of experience in applying ML/statistical methodologies on large datasets of respondent level, log file, or transactional level · Ambitious and open to learning many more ML and statistical methods, under mentorship of some recognised AI and software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production More ❯

you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking an experienced Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients … our High Wycombe, Leeds, London, Manchester, Reading or Warrington offices, with hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization … techniques to help clients make smarter, data-driven decisions. Building Intelligent Tools - develop automated solutions that enhance efficiency and provide clear, actionable insights. Driving Digital Innovation - work with technology and data to shape digital solutions that transform industry processes. Client Collaboration & Technical Delivery - partner directly with clients in the water industry, understanding their needs, designing solutions, and delivering More ❯

sales, we're proud to be one of the fastest-growing retailers in the UK. And we want to pass that growth onto you. Are you passionate about turning data into powerful insights that shape strategic decisions? At Screwfix, we're looking for a Senior Analyst (Customer Data) to play a critical role in transforming how we understand … and serve our customers. In this exciting role, you'll lead the analysis of customer behaviour and commercial data, using predictive and advanced analytics to influence high-level decision-making across trading, CRM, and marketing. You'll be a key voice in the room, translating complex findings into clear, actionable strategies that improve performance and customer experience. This is … just a numbers role, it's an opportunity to impact the future of one of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

Partners, delivering truly cutting edge AI-driven solutions. If you want to future proof your tech career, this is the move! Need some convincing? ✅ Azure Expert MSP, Azure and Data +AI Solutions Partner with 15 Advanced Specialisations ✅ 21% YoY recurring revenue growth ✅ Top 10 "Best Tech companies to work for" in the UK ✅ Chief AI Officer who has worked … solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI model training. Implement AI models into production environments and optimize their performance. Monitor and evaluate AI models, making necessary improvements … based on real-world performance. Deliver training and support to clients on AI tools, best practices, and deployment strategies. Stay up to date with the latest advancements in AI, data science, and cloud technologies. Skills & Experience Required ✅ Proven experience in AI and machine learning, with a strong portfolio of successful projects. ✅ Proficiency in programming languages such as Python More ❯

for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. What You Will Do Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable … scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams Create analytics environments and resources in the cloud or on premise, spanning data engineering and science Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success Work at … the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What You Bring To The Table Experience applying Machine learning methods (including 3D graph/point cloud More ❯

user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops, Machine learning and Data engineering is required to … such, you will gain exposure to lots of different business areas and business stakeholders, so relationship building and good communication will be key. You will bring a expertise in data science or data engineering, with a specific focus on MLOps for at least 2 years . This platform is critical and will be rolled out across the … that handle very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best More ❯

for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. What You Will Do Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable … scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams Create analytics environments and resources in the cloud or on premise, spanning data engineering and science Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success Work at … the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What You Bring To The Table Experience applying Machine learning methods (including 3D graph/point cloud More ❯

s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify the tech requirements to productionise automated, scalable and stable … makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies Work with data scientists to productionise various ML models, making sure the code … standards Follow best practice for the management and interrogation of large scale ‘structured’ and ‘unstructured’ datasets (million+ rows with thousand+ features, policy documents, etc) Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated More ❯

Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team … best practices, ensuring delivery of scalable and efficient solutions. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and … ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages More ❯

s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify the tech requirements to productionise automated, scalable and stable … makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies Work with data scientists to productionise various ML models, making sure the code … standards Follow best practice for the management and interrogation of large scale ‘structured’ and ‘unstructured’ datasets (million+ rows with thousand+ features, policy documents, etc) Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated More ❯

Retail Insight is a forward-thinking organisation dedicated to using data to drive strategic decisions and deliver exceptional results for our clients. Innovation, collaboration, and continuous learning are at the heart of what we do. We're looking for an Associate Insight Analyst to join our Consumer Packaged Goods (CPG) team based in Richmond, London,supporting data-driven … decision-making and helping shape our analytical capabilities. About the Role As an Associate Insight Analyst , you will work with data to uncover insights that influence key business decisions. You'll support the development of reports, dashboards, and analytical models, working closely with internal teams and stakeholders. This role is ideal for someone looking to develop their technical and … problem-solving skills while gaining experience in a fast-paced, data-driven environment. What You'll Do Data Analysis & BI Development Perform data analysis using SQL, Python/R, and visualisation tools such as Power BI. Assist in building and maintaining dashboards and reports to support business and client needs. Identify trends and patterns in data More ❯

information to inform customer engagement strategies and track the performance of credit models to ensure they continue to operate as expected. Key accountabilities. Analysis & Investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services and products of the bank; Digital protection: Access/… utilise bank data within the policies and frameworks required by AIB; Predictive model development: Take a leading role in building predictive models that are focussed on impact core business elements, such as automated decisioning, credit grading, capital requirements and loss expectations; Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis … that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks; Leadership: Mentoring and guidance for junior data scientists. Also, there will be responsibility for reviewing work carried out by junior team members. What you Will Bring. 3 years' experience in a model development, model monitoring or More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Senior Data Scientist & Senior Data Analyst Location: Edinburgh, GB Company: Royal London Group Job Title: Senior Data Scientist & Senior Data Analyst Contract Type: Permanent Location: Edinburgh or Glasgow or Alderley Edge Hybrid Working: 50% home, 50% office based … Closing date: 1st July2025 Overview: We have a fantastic opportunity for two roles in our Group Data & AI Office at Royal London, Senior Data Scientist and Senior Data Analyst. The purpose of the roles is to identify, define, manage, and deliver analytics, data science and Machine Learning projects to create insights, answer key business questions … solve business problems, and support decision making at all levels of the organisation. The Data Science and Data Analytics roles will be closely aligned and will work together on both the analytical and machine learning aspects of projects. The Data Science role will also be responsible for managing the delivery of multiple projects across the More ❯

Data Scientist - 6 Month Contract Location: York or Manchester (Hybrid, up to 2 days/week in office) Type: 6 Month Contract, £450/day (Inside IR35) Reporting to: Head of Data Science A leading financial services company seeks a skilled Data Scientist for a 6-month contract to join our innovative technology team. This is … an exciting opportunity to deliver impactful data science solutions in a collaborative, fast-paced Agile environment, driving business value through advanced analytics. About the Role As a Data Scientist, you'll work with a dynamic team of data scientists, engineers, and analysts to solve complex business challenges. You'll apply the data science lifecycle … to develop, deploy, and maintain production-grade models, collaborating with stakeholders on decision-making, pricing, and monitoring solutions. Key Responsibilities Apply the data science lifecycle (design, EDA, building, evaluation, deployment, monitoring) to deliver scalable MVPs. Develop and optimize production-grade data science models using Python. Design solutions for business challenges using diverse datasets and advanced ML More ❯

Data Scientist - 6 Month Contract Location: York or Manchester (Hybrid, up to 2 days/week in office) Type: 6 Month Contract, £450/day (Inside IR35) Reporting to: Head of Data Science A leading financial services company seeks a skilled Data Scientist for a 6-month contract to join our innovative technology team. This is … an exciting opportunity to deliver impactful data science solutions in a collaborative, fast-paced Agile environment, driving business value through advanced analytics. About the Role As a Data Scientist, you'll work with a dynamic team of data scientists, engineers, and analysts to solve complex business challenges. You'll apply the data science lifecycle … to develop, deploy, and maintain production-grade models, collaborating with stakeholders on decision-making, pricing, and monitoring solutions. Key Responsibilities Apply the data science lifecycle (design, EDA, building, evaluation, deployment, monitoring) to deliver scalable MVPs. Develop and optimize production-grade data science models using Python. Design solutions for business challenges using diverse datasets and advanced ML More ❯

Junior Data Scientist – Master’s Graduate Role Location: London (Hybrid) Salary: £35,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. … to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing … and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating More ❯

Junior Data Scientist – Master’s Graduate Role Location: London (Hybrid) Salary: £35,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. … to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing … and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating More ❯

and tech leaders, the company specialises in automated credit decisioning, embedded finance, and next-gen lending platforms . As part of this expansion, they’re looking for an experienced Data Scientist to join their fast-paced, agile environment on a 6-month hybrid contract . Key Responsibilities: Design and deploy machine learning models for risk scoring, customer segmentation, and … trends and support product and credit teams Develop custom statistical models for portfolio analysis and performance forecasting Collaborate cross-functionally with engineering, product, and analytics teams Contribute to scalable data pipeline and feature store development Requirements: 3+ years of experience as a Data Scientist in a commercial setting Strong skills in Python, SQL , and machine learning libraries (e.g. … scikit-learn, XGBoost, etc.) Familiarity with cloud platforms (e.g., AWS, GCP) and version control (e.g., Git) Experience working with financial or transactional data is a plus Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field Prior experience in a start-up or scale-up preferred More ❯