151 to 175 of 2,747 Remote Data Science Jobs

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 ❯

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 ❯

Driving the digital future of Kramp Group by discovering and building great products, making life easy for our customers. Kramp Group discovers and builds e-commerce, supply chain, finance & data science solutions that aim to give the ag-tech industry a push forward. We’re building a digital platform serving thousands of customers and generating over one billion … euros in turnover annually. As an Analytics Engineer , you play a critical role in transforming raw data into clean, reliable, and business-ready insights. You serve as the essential link between data engineers and business analysts, combining deep technical expertise with strong business acumen. Your work ensures our data warehouse is technically sound, accessible, well-modeled, and … aligned with business needs. You will design scalable data models, implement software engineering best practices (including version control, CI/CD, and testing), and contribute to data governance. You will help manage structured and unstructured data, enabling consistent, accurate, and timely reporting and analytics across the organization. Tech Stack: dbt | Google BigQuery/SQL | Tableau (occasionally) | Python 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 ❯

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 ❯

seeking a Senior Machine Learning Engineer based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for More ❯

VOLUNTEERING ROLE Role Nature: Volunteer Location: Home-based The Blockchain & Climate Institute (BCI) is an international volunteers-led think tank supporting and advocating the application of blockchain and other data technologies in the global fight against climate change. THIS IS AN UNPAID VOLUNTEERING ROLE Role Title: Principal Technology Officer (PTO) – Distributed Ledger Technology (DLT) Role Nature: Volunteer Location: Home … based The Blockchain & Climate Institute (BCI) is an international volunteers-led think tank supporting and advocating the application of blockchain and other data technologies in the global fight against climate change. What will you be doing? We are looking for a passionate VOLUNTEER who takes a methodological approach to their work, conducts independent research and analysis, engages with key … provide strategic and technical leadership for DLT/Blockchain technology across all BCI projects. You will oversee and implement DLT/Blockchain technology (in combination with AI, Machine Learning, Data Science, Data Modelling and associated tooling) for technology research, standards and climate action. You will perform research, onboard and train other team members, execute proof of concepts More ❯

will be responsible for developing, implementing, and optimizing Computer Vision models that empower our retail automation solutions. Your expertise will play a crucial role in transforming images into structured data and driving product enhancements that meet our client's needs. We are committed to democratising Computer Vision in the retail space, and your contributions will directly influence the impact … of our solutions across various sectors. Responsibilities Model Development: Design, build, and deploy Large Vision Models (LVMs) for applications focused on enhancing customer experience, workforce efficiencies, and product performance Data Preparation: Collaborate with data engineers to collect, preprocess, and curate large visual datasets required for training models, ensuring high-quality data pipelines Algorithm Optimization: Iterate on model … advances in machine learning and computer vision. Drive innovation by applying new techniques and methods to our projects Requirements Educational Background: Master's degree or equivalent experience in Computer Science, Data Science, or a related field with a strong focus on machine learning Professional Experience: 5+ years of hands-on experience deploying Computer Vision models in production 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 ❯

Friday, 9am to 5:30pm, 37.5 hours per week Working Policy: Flexible hybrid-working policy, with a minimum of two days a week from our Chester head office Team: Data and Analytics Reports to: Lead Analytics Engineer About Us The Forge Holiday Group encompasses Sykes Holiday Cottages, Forest Holidays, UKcaravans4hire and Bachcare in New Zealand. We unite under four … pivotal in driving the delivery of analytics across the Forge Holiday Group. Reporting to a Lead Analytics Engineer, you will be responsible for bringing robust, efficient, scalable and integrated data models & products to life. You will speak the language of business teams and technical teams, be able to translate data insights and analysis needs into models powered by … the Data Platform. You will ensure data is ingested, transformed, scheduled and presented to empower the business to make data driven decisions. You will be a trusted advisor to the business on questions about data. This position is best suited for a dynamic individual with a strong background in analytics, eager to contribute to a high-performing 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 ❯

Join to apply for the Senior AI Platform Engineer role at LSEG About US About US LSEG (London Stock Exchange Group) is a world-leading financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering services across Data & Analytics, Capital Markets, and Post Trade. Backed by three hundred years … GenAI technologies to determine the business value they add to LSEG. Mentor and guide junior AI engineers and application teams, encouraging best practices in consumption of Azure AI and Data services. Work alongside architects, developers and other engineers to ensure efficient Azure AI services and models are designed and consumed aligned to LSEG's Enterprise Scale Landing Zone. Stay … up to date with the latest advancements in AI to enable application teams to build innovative products. Implement best practices for data quality, security, and compliance. Ensure knowledge articles of all supported systems are continually updated. Candidate Profile/Key Skills Tech Profile/Essential Skills Hands on experience in developing and implementing AI and Data cloud solutions. 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 ❯

renowned financial institutions, experiencing an exciting period of growth in their London office. In this role, you will join a highly creative, innovative, and passionate team of engineers combining Data Science, AI, ML, optimization algorithms, and automation to enhance human intelligence and solve business problems at scale. You will take on a varied project portfolio, including architecting and … implementing robust, modern cloud-based software solutions, building scalable frameworks for common data challenges, and mentoring junior engineers. The successful Senior Software/Data Engineering Lead will be an excellent creative problem solver, a data enthusiast, and passionate about applying data analytics and intelligence to solve real-world problems. Skills and Experience Required Practical experience in … architecting and delivering cloud-based software engineering frameworks Experience with AWS services related to data analytics, AI, and ML technologies Deep knowledge of cloud-native data technologies and modern data engineering practices Excellent full-stack development skills in Python or similar languages Strong SDLC mindset, API, and microservice development experience Bachelor’s degree or higher in Computer 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 ❯

Job Description Senior Data Scientist (Contract) Location : Greater Manchester (Hybrid - 3 days on-site, 2 days WFH) Contract Length : 6-12 months Day Rate : £500 per day (Dependant on experience) About the Role We are looking for a Senior Data Scientist to join a high-impact team within a fast-paced, data-driven organization. This contract role … offers the opportunity to apply your deep technical expertise and leadership skills to a variety of exciting data science projects across different business functions. You will work closely with cross-functional teams to deliver valuable insights and drive business transformation using data science. As a Senior Data Scientist, you'll be expected to take ownership of … problems. The role requires someone who is comfortable with ambiguity and can deliver solutions that directly support key strategic business decisions. Key Responsibilities Lead and deliver end-to-end data science projects, from initial exploration to deployment and monitoring. Work with stakeholders across different business functions (e.g., operations, finance, product, etc.) to understand key challenges and provide data 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 ❯