551 to 575 of 971 Remote Data Science Jobs

Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and … to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring … deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers More ❯

Farmweb, allowing us to scale by leveraging our combined financial strength and importantly ensure our people feel the benefits of our joint capabilities. We are currently recruiting for a Data and ML Product Lead to join our established and experienced Chief Information Office team here at RSA on a hybrid basis. Role Requirements As the Data and ML … Product Lead you will be responsible for overseeing the lifecycle of data and machine learning products at RSA. You will define and drive the strategy for data and ML product development, ensuring alignment with RSA's business goals and data strategy. You will develop and maintain comprehensive data product roadmaps that outline the delivery and evolution … of data products, ensuring they meet current and future business needs. You will own the end-to-end lifecycle of data products, including their ongoing governance, to ensure they remain relevant, compliant, and aligned with business objectives. You will collaborate with business units, data science teams, and technology groups to identify opportunities and ensure successful product More ❯

Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and … to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring … deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers More ❯

Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and … to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring … deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers More ❯

Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company: The organisation has been around for over 20 years and … to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to ensure the smooth deployment, monitoring … deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers More ❯

and 350+ Goodlordians across the group supporting the mission! The Opportunity: Partnering with senior stakeholders across the business to understand their goals and identify the highest-leverage opportunities where data can make a difference. Leading analytical projects end-to-end: framing problems, defining KPIs, exploring data, validating hypotheses, and delivering clear, actionable insights. Designing and maintaining dashboards, datasets … and reporting workflows that drive operational and strategic decisions. Translating analytical output into clear narratives and data stories that influence product development, customer experience, and commercial performance. Working with the wider data team to improve tooling, mentor junior analysts, and promote a culture of self-service and data fluency. Applying advanced analytics and exploratory techniques from predictive … or operational gains through analysis, experimentation, or optimisation. Excellent stakeholder communication; you're confident working cross-functionally and influencing at senior levels. Not essential but highly preferable: Exposure to data science workflows: supervised/unsupervised learning, time-series modelling, or similar. What's in it for you: Grow with Goodlord : your development is important to us, that's More ❯

External Description Job Title: Consultant L4 - Generative AI & Data Strategy Grade: L4 Reporting to: Consultant L6 Role Summary Join a dynamic team at the forefront of innovation, working closely with clients to tackle complex business challenges using cutting-edge technologies such as Generative AI (GenAI), data analytics, and advanced engineering platforms like Liberty GPT. This role blends strategic … engineering, architecture, product ownership, and transformation initiatives at scale. As a consultant, you will operate in ambiguous environments, helping organizations enhance their technology literacy and capabilities around AI and data-driven solutions. You will lead cross-functional teams, influence senior stakeholders, and drive strategic programs that realize measurable business value. Key Responsibilities Lead and deliver major strategic initiatives that … leverage emerging technologies, including Generative AI, data platforms, and AI-enabled products, from concept through to execution and value realization. Act as a trusted advisor and technical leader on complex engagements, partnering with senior leaders (Director level and above) across Business, IT, LIT, and vendor ecosystems. Develop and drive adoption of innovative solutions and best practices in AI, data More ❯

need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic More ❯

Data Engineer Salary: £60,000 - £70,000 Location: Hybrid, London Data Idols is proud to be working with a company on a mission to make data accessible, accurate, and actionable, helping teams across the business make smarter decisions. This is a great opportunity to join a data-driven environment where your work will directly contribute to … building scalable and reliable data systems. The Opportunity As a Data Engineer, you'll be part of a collaborative data team responsible for designing, building, and maintaining robust data pipelines. You'll work closely with analysts, data scientists, and other engineers to ensure data is well-structured, reliable, and readily available. The company supports … continuous development and provides an annual learning budget to help grow your technical skills. Skills and Experience Strong SQL and Python skills for building and optimising data pipelines Experience working with cloud platforms (e.g., AWS, GCP, or Azure) Familiarity with modern data stack tools (e.g., dbt, Airflow, Snowflake, Redshift, or BigQuery) Understanding of data modelling and warehousing More ❯

for seasoned, driven professionals who have the desire to take challenges head on, continue to learn, and serve their clients well. Job Description: River Hawk is seeking a senior data scientists/analysts to help guide clients with strategic decision making: facilitating the collection and positioning of multiple data sets, identifying the customer's analytic needs, and developing … of the following criteria we are willing to map out a career progression plan to develop skill sets and consequently increase salary over time) Experience modeling and documenting complex data/metadata structures, data flows, and models Experience creating visualizations with Tableau or comparable programs Demonstrated experience writing and modifying SQL Demonstrated experience with Apache Hive, Apache Spark … using Neo4j, Python, or Java Knowledge of development tools such as Git, Jenkins, or Jira Experience/Education Requirements: 5-15 years of experience in a field related to data analysis Bachelors Degree (Preferred) Work Location: WMA Work from Home capability: No GROUP ID More ❯

Senior Marketing Data Analytics Analyst (building MMM's with Python/r) West London based 4 days p/w onsite 1 wfh 6 month contract - Start ASAP (weeks notice) (Apply online only)pd rate inside to Umbrella Senior Marketing Analyst - Senior Marketing Data Analytics Analyst (building MMM's) Looking for someone with minimum 4 years experienced in … Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector such as streaming video services such as VoD/Avod or other … marketing campaigns. Liaise closely with third-party media owners and be across past and upcoming media plans. Required Experience Qualifications & Skills: Someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regression analysis, Python/r and SQL as well as using data visualisation More ❯

Your Mission We're not just another company piping our data into someone else's black box. We build our own AI stack - scalable, secure, and 100% under our control. If you're tired of patching together pipelines that nobody understands or maintaining legacy ETL monsters, keep reading. As our Data Engineer - AI , you'll own the architecture … and operations of our AI applications - from raw data to production-grade services. You'll work side by side with Data Scientists to make models actually usable , and you'll drive the technical backbone of products that run at scale. Real engineering : You're not just gluing APIs - you're building systems Visible impact : Your work powers live … AI-focused by design, not by buzzword Shape the future : You're part of the journey, not just maintaining what's already there Activities Design, build & run : Architect scalable data backends to power our AI-driven products Bridge the gap : Work closely with Data Scientists to turn prototypes into production Automate & optimize : Ensure stability and performance of our More ❯

Your Mission We're not just another company piping our data into someone else's black box. We build our own AI stack - scalable, secure, and 100% under our control. If you're tired of patching together pipelines that nobody understands or maintaining legacy ETL monsters, keep reading. As our Data Engineer - AI , you'll own the architecture … and operations of our AI applications - from raw data to production-grade services. You'll work side by side with Data Scientists to make models actually usable , and you'll drive the technical backbone of products that run at scale. Real engineering : You're not just gluing APIs - you're building systems Visible impact : Your work powers live … AI-focused by design, not by buzzword Shape the future : You're part of the journey, not just maintaining what's already there Activities Design, build & run : Architect scalable data backends to power our AI-driven products Bridge the gap : Work closely with Data Scientists to turn prototypes into production Automate & optimize : Ensure stability and performance of our More ❯

Your Mission We're not just another company piping our data into someone else's black box. We build our own AI stack - scalable, secure, and 100% under our control. If you're tired of patching together pipelines that nobody understands or maintaining legacy ETL monsters, keep reading. As our Data Engineer - AI , you'll own the architecture … and operations of our AI applications - from raw data to production-grade services. You'll work side by side with Data Scientists to make models actually usable , and you'll drive the technical backbone of products that run at scale. Real engineering : You're not just gluing APIs - you're building systems Visible impact : Your work powers live … AI-focused by design, not by buzzword Shape the future : You're part of the journey, not just maintaining what's already there Activities Design, build & run : Architect scalable data backends to power our AI-driven products Bridge the gap : Work closely with Data Scientists to turn prototypes into production Automate & optimize : Ensure stability and performance of our More ❯

our global customers. We're on a truly exciting journey of growth and transformation - we're going places! This is where you come in. The opportunity As a Senior Data Quality Assurance Engineer, you'll play a vital role in ensuring the accuracy, integrity, and reliability of data within our organisation. You'll be responsible for developing and … implementing data quality standards, processes, and best practices to maintain high data quality throughout the data lifecycle. Your expertise in data validation, testing methodologies, and quality assurance techniques will contribute to the successful delivery of data-driven initiatives and enable us to make informed decisions across the organisation, as well as keeping us compliant with … regulatory requirements and industry standards. You'll collaborate closely with cross-functional teams, including data engineers, data scientists, and wider business stakeholders, to establish data quality criteria and provide guidance and training on data quality best practices, tools and technologies. This role is based out of our London office. We call our approach to hybrid working More ❯

Data Scientist - Price Optimisation Location: Remote (UK-based, London preferred) Salary: £60,000-£70,000 + 5-8% bonus + Equity The Company A global pricing and revenue optimisation leader originally focused on airline pricing, now expanding into the hotel and hospitality sector. Following the acquisition of Pace Revenue, the team in the UK forms a key part of … go deeper into statistical theory and pricing dynamics to influence global product strategy. Key Responsibilities - Research and develop advanced pricing models for hotel revenue optimisation. - Work closely with other data scientists and engineers to deploy new logic. - Collaborate on experimentation, testing and performance evaluation. - Present findings to technical and non-technical stakeholders. - Contribute to long-term pricing strategy alongside … optimisation. Desirable: - Experience with pricing in hospitality or travel sectors. - Familiarity with academic or research environments. Team & Structure You'll join the Pricing Optimisation team, working alongside 3 Senior Data Scientists under the management of James Butler. The wider DS function includes a Forecasting team and engineering support, with additional collaboration across global locations. Benefits - 5-8% performance bonus More ❯

the sales force in new sales and client retention. The research provides insight, predictions and actionable advice to clients in the area of AI, GenAI, Machine Learning (ML) and Data Science. This includes writing about, presenting and advising organizations about AI technologies, governance, best practices, market trends and vendors and their solutions, service providers, governance and best practices in … AI. What you will do: Conduct research and analysis in AI, GenAI, Machine Learning and Data Science. Specific areas of focus will include strategy, best practices, market trends, technologies and vendors. Applicable experience in an industry discipline and deep knowledge of a particular market, industry or role; understanding of both technology and industry to include the market, products and More ❯

We are partnering with a cutting-edge medical imaging company that is transforming cancer detection and diagnosis. This innovative company uses camera data to develop state-of-the-art solutions aimed at enhancing early detection and treatment of cancer. They are now seeking a talented Machine Learning Researcher in Computer Vision to join their dynamic and fully remote team. … advancements in machine learning and computer vision, applying this knowledge to ongoing projects. Publish research findings in leading scientific journals and present at industry conferences. Qualifications: PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a focus on Machine Learning and Computer Vision, or equivalent industry experience. Strong proficiency in programming languages such as Python … and libraries such as TensorFlow, PyTorch, Keras, or OpenCV. Proven ability to develop and optimise deep learning models for image and video analysis. Understanding of medical imaging and video data is advantageous. Excellent problem-solving skills and a passion for healthcare innovation. The role is offering a salary of up to £70,000 per annum and comes with a More ❯

Pattern Analyst - National Security LexisNexis Special Services Inc (LNSSI) Pattern Analysts provide data-driven operational and tactical Pattern Analysis in support of National Security and global missions in countering weapons of mass destruction, counter-proliferation, counterintelligence, transnational organized crime, and trafficking. Pattern Analysts develop and employ innovative tools and methods to identify, analyze, and resolve patterns linked in behavior … space, and time, coupled with additional analytical methodologies to provide direct on-site customer support. ROLE AND RESPONSIBILITIES Learn and apply highly technical data processing skills and analytic methodologies, as well as necessary analytic, geospatial, statistical, or predictive tasks that emerge within the scope of customer support Utilize industry-standard analytic software and tools, including Microsoft Excel, ESRI ArcGIS … commands and deployed forces to enable operations against enemy networks and identify operational solutions to counter weapons of mass destruction and emerging threat activities Process, integrate, and analyze geospatial data from multiple data sources to create production-quality thematic maps, using industry-standard geographic information systems and scripting tools Translate highly technical findings for defense and inter-agency More ❯

22M+ users, helping top brands like Apple, Nike, and Coursera connect with the student market. We're hiring a Senior Insights Analyst to blend deep analytical work with advanced data science techniques - all in a collaborative, growing team. 📍 Location: Remote-first (UK-based), with 1 day/month in London or Nottingham 💸 Salary: Up to £75,000 What … You'll Do: Drive customer insights through segmentation, campaign performance, and behavioural analysis Lead data science-focused projects: forecasting, churn, frequency modelling, experimentation Work cross-functionally with data engineers, ML engineers, product and marketing Take ownership of high-impact projects, with room to grow into a leadership or principal IC role Dedicated time for your own learning More ❯

Secret (preferred) Work Status: US citizens only due to federal/government requirement. Required Skills/Experience • 5+ years of hands-on experience in AI/ML or applied data science • Strong proficiency in Python for AI/ML development, with demonstrated real-world project experience • Proven ability to design and implement custom ML components beyond standard prebuilt … Delta Lake, and Apache Spark for pipeline development and model tracking • Experience architecting end-to-end ML solutions, including feature engineering, model training, deployment, and ongoing monitoring • Familiarity with data pipeline orchestration and a strong grasp of DevSecOps best practices in cloud-native environments • Hands-on experience with key tools and frameworks, including: o Python, NumPy, Pandas, scikit-learn … o TensorFlow or PyTorch o Elasticsearch, Logstash, Kibana Education Requirement • Shall have at a minimum, a bachelor's degree in computer science, Information Technology Management or Engineering. More ❯

within the unique and intense retail environment that is a low cost airline operation. The Job We are becoming more sophisticated as a retailer in how we manage the data and insight that drives our programme, from informing top line sales optimisation to optimising cost and efficiency levers. Many of the P&L drivers interact with each other, and … of operational, technology and delivery partners with multiple inputs and sometimes competing considerations. We are seeking a smart commercially oriented analytics manager to sit at the heart of this data and insight equation The role will be split into two key areas, The primary focus will be leading the analysis and business case evaluation for a host of growth … to range certain product categories in certain markets, factoring both revenue upside and associated costs and complexities; You will also act as product owner within the newly formed internal data science function that supports IFR This role will work closely across the entire ecosystem of stakeholders in the easyJet IFR landscape and the outputs will drive real business More ❯

We're looking for a Full Stack Engineer to join our team designing, developing and maintaining our applications which support data focused consultancy projects. The tools we create are used by technical consultants (Applied Data Scientists) to facilitate efficient delivery of insights and visualisations as part of client deliverables. The team is a multi-disciplinary data team … with a data analyst, a data scientist and another engineer. Engineers on the team work on a stack consisting of Python, AWS services, Snowflake, React, JavaScript, Terraform and Looker, amongst other tools when needed. Knowledge of our exact stack is desirable but not essential. This role will be based in Belfast with a flexible one day per week … work from office policy. What You Will Do: Develop and maintain internal tools: Build full stack applications that enable and streamline the delivery of insights and visualisations by Applied Data Scientists, using technologies like Python, React and AWS. Collaborate with technical consultants: Work closely with consultants to understand project needs and translate them into scalable, user-friendly tools and More ❯

been a more exciting time to join Deel - the international payroll and compliance market leader. Get ready to: Be a part of a truly cross-functional team; Engineer, Product, Data Science and Business Stakeholders. Participate in product planning (From discovery all the way to deployment); We want your input at all stages of the Software Development Lifecycle! Collaborate … white-glove experience with our products! The bits and bytes you'll bring to the team: Developing and maintaining AI and machine learning algorithms using Python. Creating and maintaining data pipelines and ETL processes to extract, transform, and load data from various sources. Building and deploying scalable, reliable, and efficient AI models using cloud computing platforms. Collaborating with … cross-functional teams including data scientists, data engineers, Product and business stakeholders to understand business requirements and develop solutions that meet those requirements. Writing clean and efficient code, and implementing best practices for code optimization, testing, and deployment through Jupyter Notebooks and/or Google Colab. Conducting research and staying up-to-date with the latest AI and More ❯

person Knowledge & Semantics research group within a wider AI & Machine Learning capability (35+ scientists and engineers) that works across domains such as reinforcement learning, computer vision, signal processing, geospatial data, and applied machine intelligence. This is a hands-on research leadership role where you'll guide technical direction, shape R&D proposals, and deliver demonstrators and publications. You'll … also be involved in collaborating with top-tier academic institutions and SMEs on mission-led innovation in data and decision support systems. Key Responsibilities Drive applied and novel research in knowledge representation, semantics, and graph-based ML Lead the delivery of technical reports, research proposals, and PoC demonstrators Mentor junior researchers and manage technical delivery across projects Present findings … to both technical and non-technical audiences Engage with external collaborators, including academia and innovation partners About You PhD (ideally in AI, Machine Learning, Computer Science, or related field) + 4+ years post-doctoral or industry R&D experience Strong experience leading small R&D teams (ideally 5+ people) Demonstrated success in writing and winning technical research proposals (especially More ❯