476 to 500 of 980 Remote Data Science Jobs

vibrant team of over 600 scientists, engineers and technical experts working to tackle complex environmental challenges. We are seeking an Environmental Research Software Engineer to support our Water Resources science area, contributing to the Floods and Droughts Research Infrastructure (FDRI) project. In this role, you’ll work alongside developers, data scientists and technical specialists to design, build and … maintain software systems that manage and analyse environmental sensor data. Your work will involve developing IoT integrations, structured data storage solutions and scalable APIs, contributing across the full software development lifecycle—from design and prototyping to deployment and ongoing support. You’ll also help enhance our cloud-based research platforms (hosted on AWS) and environmental data services, enabling … needs, then developing software tools to meet those needs Contributing to management and maintenance of cloud infrastructure. Keeping up to date with the latest developments in software engineering and data management. For the role of Environmental Research Software Engineer, we’re looking for somebody who has: A degree in Geography, Environmental science, Physics, Mathematics or Computing, or equivalent More ❯

About us Re7 Capital is a London-based cryptoasset investment firm. Re7 utilizes our deep crypto network and proprietary data infrastructure to drive investment decisions for a number of fund strategies. Re7 team is a dynamic team with a strong background in investment management, data science and crypto. Re7 is searching for an Investment Analyst - someone who … datasets. Experience with SQL and Python (preferred) Know your way around CT/Discord/Dune Analytics/contracts on Etherscan to enhance your insight funnel Foundational knowledge of data science/math/computer science Pragmatic and sober probabilistic approach to decision making Strong communication skills and ability to build and maintain a network of long More ❯

intelligence and ready to turn that passion into impact? As our AI Engineer - Apprentice (Level 6), you'll dive headfirst into the fast-evolving world of machine learning and data science at Virgin Atlantic. Guided by experienced data scientists and engineers across our central Data & AI team, you'll apply cutting-edge techniques to real-world … shape the future of travel while launching a meaningful career in AI. Day to day Support the development and deployment of machine learning models using Python and Databricks Conduct data preparation and exploratory analysis to understand structures, trends, and anomalies Collaborate with data scientists and engineers to select appropriate modelling techniques Communicate technical insights through visualisations and business … Apply learnings from the Level 6 apprenticeship directly to project work at Virgin Atlantic About you You're curious, analytical, and eager to build a career in AI and data science Comfortable with Python and basic SQL, with a keen interest in modelling and automation You may have explored machine learning through online courses or personal projects Able More ❯

other time & materials-based industries, and players in those sectors are looking to adapt their commercial models to that new reality. Our platform makes that possible by harnessing unstructured data scattered across law firms to facilitate decision making around pricing, legal engagement management and law firm go-to-market motions. We are experiencing rapid growth underpinned by our relationships … minded. You’ll need to be able to manage complex projects independently, communicate clearly with both internal and external stakeholders, and bring solid financial and analytical skills. Experience in data science is a nice bonus, but not required. Target Requirements ~2 years of relevant experience (investment banking, MBB consultancy, fast-moving startup) Strong interpersonal skills — able to confidently … modern project management platforms Analytical background (degree in a quantitative, business, or technical subject preferred) A minimum 2:1 degree from a top university Ideal/Bonus Experience in data science, analytics, or engineering (or ability to work closely with technical teams) Familiarity with early-stage or high-growth startups Interest in AI/ML and emerging technology More ❯

Have you got experience using React and Typescript to lead design implementation? Are you looking for the opportunity to work with an industry-leading scaleup? Staff Frontend Developer – AI Data Analysis Salary – up to £100k + bonus + shares Location – fully remote in UK (couple of visits to office a year) We are super excited to be working with … our industry-leading partner who use their expert knowledge of the financial market, software engineering, data science and behavioural change to help asset and portfolio managers improve the decision-making measures in order to yield greater investment results. Their clients include trillion-dollar asset management firms, where their two key products have resulted in an average performance improvement … over 200 bps. As a Staff Frontend Developer, your responsibilities will include: Lead frontend architecture and development of scalable, high-performance UI components for financial analytics platforms, ensuring seamless data visualisation and interaction Optimise user experience by collaborating with designers and engineers to create intuitive, responsive, and accessible interfaces Develop and optimise seamless data visualisation and interaction Provide More ❯

Our User Insights & Compliance team provides technical foundations for New-Work's data-driven products. We are the connecting link between business and technology departments and work with a variety of teams, such as Product, Legal, Marketing and Analytics. For these departments we build and maintain in-house services that enables them to optimize their products and at the … same time ensure to always use the data in a compliant way. We're currently looking for a curious and motivated engineer who likes to work with modern technologies and is keen to discover something new. We offer room for innovation and experiments and encourage our team members to focus on their strengths and the subjects they really like … them, you will have lots of fun in our team! And by the way: Flexible work is possible of course. You can look forward to (tasks): Design and maintain data applications that handle millions of requests each day Observe current trends in the data & AI world Work closely with data engineers, data scientist and analysts to More ❯

into viable challengers to high-cost lenders, creating affordable alternatives at scale. With a team of over 200 people and more than 180,000 active customers, Amplifi is a data-driven business with strong ambitions and a proven platform. We are led by a senior team with decades of experience across institutions such as Credit Suisse, UBS, NatWest, CapitalOne … the executive leadership team, responsible for shaping and driving the company's credit risk strategy across the customer lifecycle. This role brings together ownership of credit strategy, risk modelling, data science, collections, and the risk MI and reporting infrastructure. This is not a role of simple oversight. The successful candidate will proactively embed credit risk considerations into the … not just at approval. Own Amplifi's credit risk strategy, responsible lending frameworks, and risk appetite alignment. Provide thought-leadership on advances in credit risk assessments, new industry trends, data sources and products, highlighting risks and opportunities for data-driven growth. Actively contribute to executive decision-making as a member of ExCo, and present to Board and Risk More ❯

will directly influence who we serve, how we grow, and how we deliver sustainable value. Key Responsibilities Drive promotions & pricing strategy: Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation. Balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. Build deep insight into marketing campaign … Stay abreast of industry trends and competitor activity to ensure our products remain fit for purpose. Financial forecasting & portfolio analytics: Collaborate closely with the Credit Risk Analytics, Growth and Data Science teams to understand how our products and portfolio are performing at a granular sub-segment level. Define key KPIs and develop detailed monitoring to track performance against … ambiguity to assess the feasibility of new product, channel and segment expansion opportunities. Create robust commercial assessment frameworks, build tooling where necessary (e.g. RoI or NPV models) and extract data to support these assessments and deliver clear, insight-driven recommendations. Influence & execution: Collaborate with stakeholders across Credit Risk, Data Science, Product and Growth to bring your strategies More ❯

instant payment. Previse reduces transaction costs for buyers, improves working capital for suppliers, and creates an attractive new asset class for funders. This is "Trade Finance 2.0", driven by data, and driving growth for companies large and small. We utilise the latest tech in machine learning and have access to advanced datasets that allow us to train our algorithms … keep us generating value and innovating at pace while sharing knowledge and promoting continuous learning. Working closely with the Head of Engineering, Head of Operations, Solutions Architect, Engineering and Data Science teams, you will be responsible for the delivery of complex IT projects including bespoke software primarily built in Clojure and Python. Typical duties include (but not limited … as an escalation point for project teams and clients Leading the feature development of our products, processes and infrastructure Driving clarity in communications between the technical development teams across Data Science, Data Analysis, Engineering and Systems Developers to develop high-quality, pragmatic solutions Act as Subject Matter Expert by understanding the capabilities and limitations of tools and More ❯

applications using large language models. Fine-tune pre-trained LLMs to meet specific domain and user needs. Develop machine learning models for language understanding, generation, and personalization. Collaborate with data scientists, product managers, and engineers to integrate AI functionality into new and existing platforms. Evaluate and improve model performance, accuracy, and safety. Research and apply new methods in natural … language processing, reinforcement learning, and prompt engineering. Ensure ethical use of AI and alignment with privacy, security, and compliance requirements. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3+ years of experience in AI/ML development, with a focus on NLP or generative models. Hands-on … States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations. More ❯

Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry's top data scientists, sports performance … over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey. The Role Senior Backend Engineers are responsible for building the core data-flows of Kitman Labs products. They do this with a focus on security, privacy, robustness and performance. The backend engineering team builds APIs and data processing pipelines that … handle massive amounts of data from sports teams all over the globe. In conjunction with our Data Science team they build and maintain data models which embody the cutting edge of injury risk prevention technology. We're looking for people with a strong background or interest in building successful products. You'll be happy dealing with More ❯

Job Description Do you want to help us build a data-driven culture for digital product development? We have an amazing job opportunity for you! We are looking for an Analytics Engineer in our Data, Analytics & Business Improvement team. Come and help us build a robust behavioral analytics platform for our portfolio of consumer-facing LEGO websites, apps … and other owned experiences. Core Responsibilities Partner with multiple digital product teams to define & implement our data model, ensuring we have a scalable way of turning raw data from a range of sources into structured tables and data feeds that are aligned with the most common business questions requiring analysis and reporting: Work with Analytics Business Partners … and create a semantic & reporting layer for our suite of digital products, including the build and maintenance of DBT models for our behavioral analytics platform. Partner with the LEGO Data Office to develop standards and ways of working for data producers and data consumers across Digital Consumer Engagement and embed these across digital product teams (data More ❯

and founded in 2013, we partner with higher education institutions to improve student engagement from first enquiry to enrolment. We offer a comprehensive platform solution, an expert workforce, and data-led processes to engage students globally. With over 250 team members across four international offices, we foster a culture of ownership and flexibility, supporting career growth and focusing on … encourage each student's journey - whether it's a personalised email, a tailored message, or a human follow-up - generated dynamically using Generative AI. You will work closely with data scientists, machine learning engineers, and operational teams to build, launch, and optimise these models and systems, making them a core part of how we support students globally. What are … you responsible for Define the vision, strategy, and roadmap for predictive models and AI-driven engagement tools. Work with data teams to design models that predict student-program fit and likelihood of enrolment, using demographic data and behavioural activity across our platforms. Lead the development of recommendation engines that suggest personalised next actions, leveraging Generative AI for communication More ❯

Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. About the Role Did you know that consumers lost over $1 trillion to scams in 2024 alone? You can play a part in helping make society safer and … to customer problems , defin e and prioritis e incremental value , lead the execution of a product roadmap, focusing on improving customer experience; working closely with the development team s , data science, fellow product managers and wider organisation Contribute to the product suite strategy and define it through collaboration and analysis of the right market, customer and business insights … Data driven decision making and analysis: ability to drive conclusions from large volumes of data and recommend and execute relevant actions to help drive the further product development and increase customer satisfaction Go to market and product marketing lifecycle: working closely with the internal business partners (e.g. Sales, Marketing, Customer Support , Professional Services ) to gather and assess product More ❯

UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking … to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to … work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for More ❯

while respecting the inherent complexity of research applications. Develop and apply advanced analytical approaches to help clients understand and address dynamic business issues. Collaborate with interdisciplinary teams, including researchers, data scientists, and project managers to integrate your deep understanding of research technology and analytics into broader project objectives. Lead modules and workstreams within projects while participating in hands on … proteomics, bulk or single cell RNA-sequencing, and/or systems biology. Partner with ZS leaders and client service teams to support selling and delivering Discovery projects for Life Science clients. Stay current on latest research and drug discovery trends; develop Points of Views, offerings, frameworks, tools, whitepapers, etc. on discovery innovations to build firm intellectual capital and thought … leadership. Lead project task execution by ensuring progress, organizing project data and coordinating team meetings. Conduct issue analysis and develop hypotheses on the key client issues. Design and execute qualitative and/or quantitative analyses to test and analyze hypotheses. Synthesize findings, develop recommendations, and communicate results to clients and internal teams. Provide thought leadership and innovation within projects More ❯

networking, and a sense of camaraderie over dinner. Role Responsibilities: Implement performance optimization strategies to support the company's mission in AI progress. Collaborate with cross-functional teams, including data scientists, enhancing AI capabilities through dynamic innovation. Contribute to continuous improvement in AI models and algorithms, aligning with the organization's goal of technological leadership. Requirements: Bachelor's degree … in Computer Science, Statistics, Engineering, or related field, providing a solid foundation for growth. Demonstrated proficiency in machine learning and deep learning concepts, enabling impactful contribution and development. Strong programming skills in Python with knowledge of C/C++ and experience in profiling CPU and GPU-based programs, offering a platform for technical excellence. Desired Skills and Experience Expierence More ❯

ISO 27001, ISO 20000, ISO 56002 & CMMI L3 SVC + SSD certified, and we provide expert consulting services in areas such as Information Technology, Management Consulting, Cyber Security and Data Science. We leverage cutting-edge technologies, best practices and a creative technological edge to keep our clients ahead of the curve. Role Description Determines, develops, or manages technical solutions … Experience in database management Experience in cloud technology such as AWS, Google Cloud Platform, etc. Understanding of containerization technologies such as Docker and Kubernetes Bachelor's degree in Computer Science or related field Strong communication and problem-solving skills Experience with DevOps methodology Certifications in AWS, Azure, and/or Google Cloud Platform are a plus MAGNUS Management Group More ❯

ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred Qualifications: Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field or equivalent experience. Advanced degree in Data Science is a plus. Good understanding of the Neocloud market dynamics, key players More ❯

and adapt in a fast-evolving business environment. Curious and proactive in exploring new technologies and solutions. Desirable Experience working in trading environment close to traders. Energy trading knowledge. Data science and optimisation skills University degree in a quantitative area (eg IT, engineering, mathematics, economics) Location Team based in London, Liverpool Street area. Flexible/hybrid working is More ❯

You will have a fast start if you have experience: Experience with cloud platforms such as AWS, Google Cloud, or Azure Knowledge of Kubernetes and containerization technologies Experience with data science and ML engineering Familiarity with retrieval-augmented generation (RAG) The requirements listed in the job descriptions are guidelines. You don't have to satisfy every requirement or More ❯

Job Title: KDB Developer Location: London - Hybrid Type: Permanent Position We are actively recruiting multiple KDB Developers at various levels for a fast-paced, data-driven organisation at the forefront of real-time analytics and high-performance computing. This organisation are a consultancy working with some of the leading names in the financial services sector. The Role: As a … KDB Developer, you will be responsible for designing, developing, and maintaining high-performance applications and data analytics solutions using kdb+/q. You’ll work closely with quants, traders, and data scientists to deliver scalable systems and actionable insights from large volumes of time-series data. Key Responsibilities: Design, implement, and optimise kdb+/q-based applications and … data pipelines Work on real-time data ingestion, transformation, and analysis Collaborate with stakeholders to gather requirements and translate them into technical solutions Maintain and enhance existing codebases, ensuring high availability and performance Contribute to architectural decisions and best practices for kdb+ systems Troubleshoot and resolve production issues quickly and effectively Required Skills & Experience: Strong hands-on experience More ❯

Job Title: KDB Developer Location: London - Hybrid Type: Permanent Position We are actively recruiting multiple KDB Developers at various levels for a fast-paced, data-driven organisation at the forefront of real-time analytics and high-performance computing. This organisation are a consultancy working with some of the leading names in the financial services sector. The Role: As a … KDB Developer, you will be responsible for designing, developing, and maintaining high-performance applications and data analytics solutions using kdb+/q. You’ll work closely with quants, traders, and data scientists to deliver scalable systems and actionable insights from large volumes of time-series data. Key Responsibilities: Design, implement, and optimise kdb+/q-based applications and … data pipelines Work on real-time data ingestion, transformation, and analysis Collaborate with stakeholders to gather requirements and translate them into technical solutions Maintain and enhance existing codebases, ensuring high availability and performance Contribute to architectural decisions and best practices for kdb+ systems Troubleshoot and resolve production issues quickly and effectively Required Skills & Experience: Strong hands-on experience More ❯

you will take ownership of core backend development efforts, leading a small, agile team. You will be instrumental in architecting and building software systems that interface with real-time data sources and power intelligent automation platforms. This is a hands-on leadership position where you'll balance technical delivery with mentorship and team coordination. Key Responsibilities: Lead the design … robust, scalable backend systems using Python and microservices architecture Oversee code quality, testing, and DevOps practices to ensure continuous delivery Collaborate closely with multidisciplinary teams, including hardware engineers and data scientists Mentor and support junior developers and contribute to a high-performance engineering culture Implement software solutions for real-time data processing in an industrial environment Drive adoption … an Azure cloud environment Excellent problem-solving and leadership skills Desirable: Background in industrial automation, IoT, or embedded systems Familiarity with protocols used in industrial environments Experience with modern data pipelines or event-driven architectures What's on Offer: Competitive salary and benefits package Flexible working hours and hybrid options Career growth in a cutting-edge technology environment A More ❯

you will take ownership of core backend development efforts, leading a small, agile team. You will be instrumental in architecting and building software systems that interface with real-time data sources and power intelligent automation platforms. This is a hands-on leadership position where you'll balance technical delivery with mentorship and team coordination. Key Responsibilities: Lead the design … robust, scalable backend systems using Python and microservices architecture Oversee code quality, testing, and DevOps practices to ensure continuous delivery Collaborate closely with multidisciplinary teams, including hardware engineers and data scientists Mentor and support junior developers and contribute to a high-performance engineering culture Implement software solutions for real-time data processing in an industrial environment Drive adoption … an Azure cloud environment Excellent problem-solving and leadership skills Desirable: Background in industrial automation, IoT, or embedded systems Familiarity with protocols used in industrial environments Experience with modern data pipelines or event-driven architectures What's on Offer: Competitive salary and benefits package Flexible working hours and hybrid options Career growth in a cutting-edge technology environment A More ❯