1,151 to 1,175 of 3,221 Data Science Jobs

innovation, efficiency, and productivity. The role will lead AI adoption across corporate functions, support engineering and operations colleagues drive AI adoption in these critical functions, whilst collaborating and supporting Science and NTR colleagues with their existing high-performance computing (HPC), machine learning (ML) and AI initiatives. This role requires deep understanding and significant experience of AI technologies, ideally with … engineering, scientific, and manufacturing goals. Identify and prioritize AI opportunities to enhance operational efficiency, product quality, and customer satisfaction Leadership and Collaboration : Lead a multidisciplinary team of AI specialists, data scientists, engineers, and manufacturing experts from across our organisation. Foster a culture of innovation and continuous improvement within the organization. Collaborate with other departments, including Operations, Engineering and Science … of AI solutions in engineering and manufacturing processes. Ensure AI solutions meet regulatory standards and industry best practices. Monitor and evaluate the performance of AI systems and processes, making data-driven adjustments as necessary Training and Support : Provide training and support to AWE employees on AI technologies and their applications. Ensure AI team members are equipped with the necessary More ❯

to inform decision-makers and counter potential threats. Key Responsibilities • Analyze commercial supply chains as complex networks to identify nodes, links, and relationships across sectors, geographies, and jurisdictions. • Develop data-driven models that highlight interdependencies, critical suppliers, single points of failure, and trends with strategic implications for national security. • Leverage commercial databases, financial and trade records, public records, and … reshoring, and disruptive technologies that could impact supply chains at a strategic level. Required Qualifications • Active TS/SCI Clearance • Bachelor's degree in Business, Economics, Supply Chain Management, Data Science, Engineering, or related field • 5+ years of experience in commercial network/supply chain analysis, intelligence analysis, financial crimes, or economic security • Experience using advanced research tools … Dataminr) to evaluate commercial networks and relationships • Strong knowledge of venture capital, private equity, and other financing models that underpin commercial ecosystems • Familiarity with geospatial, link-analysis, and big-data tools (e.g. Palantir, Analyst's Notebook) • Ability to synthesize and present findings clearly in written and visual formats for senior leaders Desired Skills • Experience in threat finance, illicit trade More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … technical and strategic skills. Continuous Deployment: Work iteratively, supported by high test coverage, and contribute to the team's frequent deployment cycles (averaging more than once per day). Data-Driven Decision-Making: Use hypothesis testing and metrics such as issuance and profitability to quickly iterate and optimise our approach. The projects Operational processes and workflow automation: Improve Broker … as a senior engineer working in small, high-performing teams alongside engineers from other disciplines. Experience with relational databases (ideally PostgreSQL). Bonus: Experience with Django An understanding of data analysis and statistics. A strong numerical or technical background, underpinned by a degree in maths, physics, computer science, engineering, or similar industry experience. The salary We expect to More ❯

operational and technical stakeholders to present findings, insights, and recommendations to in a clear and concise manner, both verbally and through reports or presentations. • Mentorship: Mentor and guide junior data scientists, data analysts, and/or software engineers, providing technical expertise and fostering a culture of innovation and continuous learning • Candidates MUST possess the ability to obtain a … Minium required skills, experience and education: • 4 years of proven Full-stack development experience, including both front-end and back-end development • Undergraduate or bachelor's degree in computer science or a related field (equivalent experience may be considered) • Proficiency in Python, Node.js, HTML, JavaScript, React • Familiarity with Docker and AWS infrastructure • Strong analytical and problem-solving skills, with … productize Client solutions and learn from open-ended experiments • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and manage stakeholders. • Understanding of data security principles • Must be capable of obtaining and maintaining a US Govt. security clearance Marathon TS is committed to the development of a creative, diverse and inclusive work environment. More ❯

around Interconnector costs and flows. Provide weekly market comments and insights. Build a gas storage model Build a Virtual power plant model Key Requirements: Sufficient years of experience in Data analytics with a proven ability to extract insights from complex datasets. Proficiency in programming, preferably Python and SQL. Solid comprehension of large language models (LLM) in order to support … the desk’s research. Ability to utilize advanced data analytics and time series analysis techniques to generate actionable signals for commodities trading. Ability to perform data cleaning, transformation, and web scraping to ensure high-quality datasets and insightful analysis. Sharp technical understanding of derivatives contracts. Strong interest in the various Energy supply and demand fundamentals in Europe. Robust … insights effectively to stakeholders to facilitate informed decision-making. High entrepreneurial attitude required to develop a business. The successful candidate is likely to be educated to degree level in Data Science, Mathematics, Physics, Engineering, Econometrics, or a similar highly quantitative discipline. More ❯

around Interconnector costs and flows. Provide weekly market comments and insights. Build a gas storage model Build a Virtual power plant model Key Requirements: Sufficient years of experience in Data analytics with a proven ability to extract insights from complex datasets. Proficiency in programming, preferably Python and SQL. Solid comprehension of large language models (LLM) in order to support … the desk’s research. Ability to utilize advanced data analytics and time series analysis techniques to generate actionable signals for commodities trading. Ability to perform data cleaning, transformation, and web scraping to ensure high-quality datasets and insightful analysis. Sharp technical understanding of derivatives contracts. Strong interest in the various Energy supply and demand fundamentals in Europe. Robust … insights effectively to stakeholders to facilitate informed decision-making. High entrepreneurial attitude required to develop a business. The successful candidate is likely to be educated to degree level in Data Science, Mathematics, Physics, Engineering, Econometrics, or a similar highly quantitative discipline. More ❯

uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Job Function: Data Analytics & Computational Sciences Job Sub Function: Clinical Data Management Job Category: Professional All Job Posting Locations: High Wycombe, Buckinghamshire, United Kingdom Job Description: Senior Analytical Monitor x …/High Wycombe, UK Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the … way. Learn more at We are searching for the best talent for Senior Analytical Monitors x 3 in our Integrated Data Analytics and Reporting (IDAR) business - experienced individual contributors with strong knowledge of site monitoring and Analytical Risk Based Monitoring (ARBM) practices, data analytics, methods, processes, and technologies. The head office location is in High Wycombe, Buckinghamshire, UK More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … effective Forecasting capacity needs for each team to eliminate operational bottlenecks. Evaluating the value of contacting customers at different points in the customer journey and testing these approaches. Conducting data analysis to inform your work and shape effective solutions. This involves conducting your own analysis and working with our Operations Strategy Data Scientists to get even more analytical … distil complex information into key points so that it is succinct and engaging in both written and verbal forms, and accessible to a range of stakeholders (whether that's Data Scientists, operations managers, C-level, etc.) Bonus: Experience with Python or SQL. If you don't have commercial experience then we'd want you to have enthusiasm to learn More ❯

is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role We are looking for an experienced credit risk manager with a strong analytical background, to lead the team responsible … for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile of our UK portfolio are effectively managed. Key responsibilities of this critical role … traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy More ❯

is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role We are looking for an experienced Senior Credit Strategy Manager with a strong analytical background, to lead the team … responsible for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile, of our UK portfolio are effectively managed. Key responsibilities of this critical … traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy More ❯

DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £60,000 per year. Pay is based on relevant experience, skills for the role … our total reward package. About You Your role will vary day to day, but here is a bit of what you can expect: Identifying trends, making links in the data, providing actionable insight, communicating and presenting results to key stakeholders of Pricing & U/W and Trading groups. Co-ordinating key outputs from Pricing & U/W and Trading … to be produced on a regular basis to ensure consistency. Regularly reviewing pricing and underwriting monitors, ensuring key points and changes in trends are escalated. Continually looking to improve data, processes and reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for More ❯

DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £60,000 per year. Pay is based on relevant experience, skills for the role … our total reward package. About You Your role will vary day to day, but here is a bit of what you can expect: Identifying trends, making links in the data, providing actionable insight, communicating and presenting results to key stakeholders of Pricing & U/W and Trading groups. Co-ordinating key outputs from Pricing & U/W and Trading … to be produced on a regular basis to ensure consistency. Regularly reviewing pricing and underwriting monitors, ensuring key points and changes in trends are escalated. Continually looking to improve data, processes and reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for More ❯

DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £60,000 per year. Pay is based on relevant experience, skills for the role … our total reward package. About You Your role will vary day to day, but here is a bit of what you can expect: Identifying trends, making links in the data, providing actionable insight, communicating and presenting results to key stakeholders of Pricing & U/W and Trading groups. Co-ordinating key outputs from Pricing & U/W and Trading … to be produced on a regular basis to ensure consistency. Regularly reviewing pricing and underwriting monitors, ensuring key points and changes in trends are escalated. Continually looking to improve data, processes and reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for More ❯

We're looking for a Commercial Analyst (Partnerships) We're looking for a Commercial Analyst with a passion for data and analytics to power our partnerships strategy. The successful candidate will ensure we're making data-driven decisions based on robust testing to help grow our partnerships channel, as well as developing and maintaining the business intelligence (BI … and data infrastructure of the team. We're looking for an inquisitive independent thinker with a proactive can-do attitude. Ready to make an impact? Come join us! The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're … s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities More ❯

to to research and develop technology that improves the lives of shoppers and sellers around the world. Overview of the role The Business research Analyst will be responsible for data and Machine learning part of continuous improvement projects across compatibility and basket building space. This will require collaboration with local and global teams, which have process and technical expertise. … Therefore, RA should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. In compatibility program, RA perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. RA also continuously improve … business requirements as well as writes and reviews business cases. Key job responsibilities • Scoping, driving and delivering complex projects across multiple teams. • Performs root cause analysis by understand the data need, get data/pull the data and analyze it to form the hypothesis and validate it using data. • Conducting a thorough analysis of large datasets to More ❯

a healthy work-life balance while tackling hard problems in quantitative finance using AI and ML techniques. As a Quantitative Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design … projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets More ❯

a healthy work-life balance while tackling hard problems in quantitative finance using AI and ML techniques. As a Quantitative Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design … projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets More ❯

an AI engineer at Writer, you will play a key role in developing and deploying cutting-edge generative AI models and algorithms. Collaborating with our team of software engineers, data scientists, and researchers, you will design and implement AI solutions that drive our innovative products. If you are passionate about transforming enterprise through AI, we want to hear from … you. Your responsibilities Collaborate with engineering, data science, and AI teams to develop AI-powered capabilities. Evaluate AI model performance through testing and experimentation. Deploy and improve LLM-based applications in production. Integrate AI capabilities into production systems, ensuring scalability and efficiency. Stay updated with AI and ML advancements and suggest improvements. Work with cross-functional teams to More ❯

the TRE's foundational workflows for integration into national health research infrastructure. 4. To play a key role to ensure all TRE activities adhere to ISO, NHS, and university data governance. Oversee risk assessments, ethics approvals, and data protection compliance. 5.Responsible for monitoring project budgets, track spending, ensure efficient use of resources, and support in the preparation of … Knowledge Essential: A1. Scottish Credit and Qualification Framework (SCQF) level 9, 10 or 11 (Ordinary/Honours degree or postgraduate qualification) in a relevant field (e.g. project management, health data science, IT, biomedical sciences, or engineering) including being professionally qualified in a relevant discipline, with a broad range of professional experience in a management role(s). A2. … Knowledge of research data environments and health data governance standards (e.g. ISO 27001, GDPR, NHS policies). A3. Practical application and understanding of data protection, GDPR and other statutory requirements and professional guidelines. A4. Strong understanding of project management methodologies (e.g. PRINCE2, Agile, or equivalent). Desirable B1. A working knowledge of public sector policies and procedures More ❯

Job summary The primary aim of the Senior information analyst is to collect, analyse, and interpret data to extract meaningful insights and inform decision-making. This involves identifying trends, patterns, and anomalies within datasets to help the organisation improve performance, solve problems, and make better-informed choices. Work with the SWLP's Information Systems Manager to ensure information needs … for a Senior information Analyst to join our Informatics team at SWLP. This is a fantastic opportunity to demonstrate your expertise in supporting SWLPs strategic and operational use of data throughout the organisation The ideal candidate will possess strong analytical skills, and the ability to communicate complex information effectively. A background in health informatics, data science, or … meet SWLPs information needs through the provision of regular reports, scorecards/dashboards, advice and ad hoc analyses. 4. Take responsibility for designated statutory returns, ensuring these are prepared, data quality assured, signed-off and submitted on time. 5. Act as the information ambassador for SWLP in SWLP meetings and discussions, including with external bodies (e.g. Partner Trusts, commissioners More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … and how to generate maximum value from your developer resource. Excellent communication and interpersonal skills. You thrive in environments that require building relationships built on trust and expertise. Strong data literacy and problem-solving skills. Bonus: A strong interest in tech solutions, and how tech is built (even if you're not a developer) A strong numerate background, i.e. … maths, physics, statistics, computer science, or similar. Experience with SQL, Python, or other programming languages. Experience with financial products or fintech. The salary We expect to pay from £60,000 - £70,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly More ❯

About the Role: Grade Level (for internal use): 12 About the Team We are an innovative team pushing the boundaries of technology, data science, AI, and research to develop new products that address complex customer challenges. Our work drives cutting-edge forecasting solutions that help the automotive industry navigate supply chain disruptions, evolving technologies, and supplier dynamics. We … critical insights into the supply chain of automotive parts, technology adoption, and supplier logistics. Our team produces granular forecast datasets and written analyses, leveraging multiple research channels and vast data sources to predict technology trends, supplier movements, and industry shifts. About the Role The Portfolio Manager plays a pivotal role in overseeing and optimising a portfolio of strategic automotive … progress, they will enforce adherence to scope, implement efficient project systems, and coach teams to drive accountability and best practices. This role requires collaboration with senior leadership, research analysts, data scientists, product teams, and external development partners to ensure projects align with business objectives and deliver measurable impact. This role is based in the UK, with the option for More ❯

at the same time - we'd love to hear from you! As the Senior Routing Analyst, you'll be embedded in the Routing & Optimisation team, collaborating with c-suite, data scientists, product leaders, and operations leaders to shape and scale our algorithmic decision-making across multiple countries. What you'll do: End-to-End KPI Management Define, monitor and … core routing metrics Build and maintain interactive dashboards that surface trends, anomalies, and opportunities. Lead deep-dive analyses to uncover root causes and translate insights into prioritized action plans. Data-Driven Strategy & Storytelling Craft clear, compelling narratives around quantitative insights to influence product roadmaps and executive decisions. Collaborate with cross-functional stakeholders (Operations, Product, Finance, C-Suite) to integrate … frameworks to validate hypotheses related to routing and optimisation. Ensure statistical rigor and business relevance in all experiments; translate results into clear recommendations. Feature Prioritisation & Roadmap Alignment Partner with data scientists to evaluate potential features, tools and models. Recommend and sequence improvements based on impact, feasibility, and strategic fit. What you'll need to succeed: Significant hands-on experience More ❯

you'll play a pivotal role in building a best-in-class collections strategy that boosts collections rates and enhances overall business performance. In this role, you'll: Use data to identify frictions and optimise Raylo's collections journey. Launch and analyse strategic tests to improve customer repayment behaviour. Eventually take full ownership of Raylo's collections strategy and … lead data-driven improvements across the function. In the short term (3-6 months), you'll focus on becoming fluent in our current collections landscape, building performance monitoring tools and deploying your first round of tests. In the longer term (12+ months), you'll lead strategic innovation in collections, delivering measurable impact on revenue retention and risk reduction. What … You'll Do Build and implement new collections strategies through rapid experimentation and data analysis. Collaborate with teams across Raylo-including Product, Engineering, Finance, and Ops-to align strategy and execution. Use SQL and Looker to deep-dive into datasets and uncover performance insights. Define and track KPIs for collections and device recovery, using them to iterate and scale More ❯

lead the charge. In this mission-critical role, you'll architect and scale our commercial intelligence and analytics function from the ground up. Your mandate? To turn vast, messy data into powerful insights that unlock new growth engines, surface hidden opportunities, and drive next-level GTM efficiency. You won't just be analyzing trends - you'll be shaping the … strategic roadmap of an entirely new frontier. This is your chance to combine data science, commercial strategy, and operational rigor into a force that powers every revenue decision across the business. Responsibilities: Develop and manage the organization's revenue model, aligning it with headcount, productivity, and quota planning. Collaborate with RevOps and Analytics teams to build accurate, accessible … s degree in a STEM field; an MBA or equivalent advanced degree is preferred. Minimum of 5 years of experience in FP&A, strategic finance, or commercial analytics. Advanced data literacy and modeling expertise, with proficiency in Excel or Google Sheets. Proficient in BI tools such as Tableau, Power BI, or Looker; SQL experience is a strong plus. In More ❯