About Us : IWSR is the global authority on beverage alcohol data and intelligence. For over 50 years, IWSR has been trusted by the leaders of global beverage alcohol businesses as an integral part of their strategic planning and decision-making processes. We uniquely combine our proprietary longitudinal market data, consumer insights and AI-enhanced datascience, with valuable on-the-ground human intelligence in 160 markets worldwide, to decipher what is really happening in the global beverage alcohol market. With access to our data, clients from across the drinks industry, including multinational spirits, beer, and wine businesses; packaging and ingredient manufacturers; distributors; and financial institutions, plan their strategies and future investment with a reliable … consistent and complete understanding of the global landscape. Role Overview: IWSR is expanding its Forecasting, Analytics and Modelling capabilities and seeks a Data Scientist as part of its growing team of data scientists and econometricians. This team is responsible for the production of forecasts and analyticsin collaboration with IWSR's research team. The candidate will also contribute to More ❯
company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on … We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems More ❯
Join Our Team as an Analytics Engineer! Are you passionate about turning complex data into actionable insights? Do you thrive on solving problems and enabling data-driven decision-making in the dynamic world of payments? If so, we want to hear from you! As anAnalytics Engineerspecializing in the payments space, you'll be at the forefront of analysing … payment transaction data, uncovering trends, and optimizing card issuance operations. Your work will directly shape strategic initiatives and improve business outcomes. Key Responsibilities Analyze large datasets related to payment processing and customer transactions to uncover trends and actionable insights. Develop dashboards and reports to track KPIs and support decision-making. Work with stakeholders to understand data needs and … provide insights through presentations and reports. Deliver data-driven recommendations to support business objectives. Build and optimize data pipelines using dbt, ensuring clean and accessible data. Monitor data quality and implement validation processes in collaboration with data engineers. Create scalable data models in Snowflake using dbt and identify opportunities for efficiency gains. Optimize workflows and More ❯
Kick-start your career in DataScience with real-world impact. We’re on the lookout for a Graduate Data Scientist to join our dynamic London-based team and contribute to data-driven solutions that make a difference from day one! In this role, you’ll work alongside experienced data scientists, engineers, and business stakeholders … every day. Whether you're a recent graduate or bringing some early experience, this is your chance to learn fast, think big, and grow with a company that values data at its core. What’s in it for you? 📊 Meaningful Work : Work on real data challenges across forecasting, customer analytics, risk modelling, and business intelligence. 📈 Learning & Development : Structured … support including mentoring, online courses, internal workshops, and the chance to explore the latest tools in data science. 💡 Culture of Innovation : Be part of a collaborative and diverse environment where experimentation is encouraged and ideas are celebrated. 💰 Competitive Package : £35,000–£40,000 starting salary with clear progression pathways and performance-based bonuses. We’re looking for someone who More ❯
Kick-start your career in DataScience with real-world impact. We’re on the lookout for a Graduate Data Scientist to join our dynamic London-based team and contribute to data-driven solutions that make a difference from day one! In this role, you’ll work alongside experienced data scientists, engineers, and business stakeholders … every day. Whether you're a recent graduate or bringing some early experience, this is your chance to learn fast, think big, and grow with a company that values data at its core. What’s in it for you? 📊 Meaningful Work : Work on real data challenges across forecasting, customer analytics, risk modelling, and business intelligence. 📈 Learning & Development : Structured … support including mentoring, online courses, internal workshops, and the chance to explore the latest tools in data science. 💡 Culture of Innovation : Be part of a collaborative and diverse environment where experimentation is encouraged and ideas are celebrated. 💰 Competitive Package : £35,000–£40,000 starting salary with clear progression pathways and performance-based bonuses. We’re looking for someone who More ❯
Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! We are looking for a Sr. Data Scientist that will work on modeling and metric development initiatives to shape our understanding customers' engagement with Prime Video, and help unlock new opportunities to elevate customer experiences. Key … metrics to measure the impact of our product launches on customers' streaming needs and business outcomes. You will work on large, complex datasets to develop models which will provide data-driven insights into customers' streaming behaviors. You will identify simple and inventive approaches to increase the operational efficiency of models and metrics. You will collaborate with product leaders on … metrics used by 300+ PMs to drive key decisions and support multiple strategic company goals. As the dedicated analytics partner for the GAE product org, we focus on scalable data foundations, causal attribution, and GenAI-powered insights to accelerate decision-making and customer impact. BASIC QUALIFICATIONS - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python More ❯
Senior Analytics Engineer Location: London, Hybrid (minimum 2 days per week in office) Type: Full-Time, Permanent Reports to: Engineering Manager/Lead Data Engineer Salary: £55,000-£70,000 per annum Due to the nature of our work, candidates must be eligible for Security Clearance. Join Our Mission At QuantSpark, we're transforming how data and AI … high-street brands, and premium consumer goods companies optimise inventory, enhance price competitiveness, and deliver personalised customer experiences. Asset Management: We build AI-powered investment decision support systems, alternative data integration platforms, and automated risk management solutions for prestigious asset management firms. Public Sector: We're trusted by multiple UK government departments and public sector organisations to deliver predictive … global manufacturing leaders, our cross-industry expertise ensures we bring diverse perspectives to complex challenges. We're seeking an experienced Senior Analytics Engineer who's passionate about turning complex data into actionable insights that drive remarkable results for our clients. Why You'll Love QuantSpark Work That Matters: Lead high-impact analytics projects across diverse sectors-from building predictive More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SLB
Job Title: HR DataScience Intern About Us: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy … to know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented DataScience Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals and understand HR data and workflows. … You will leverage this understanding to analyze data, automate workflows, embed AI, and enable data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain. The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic More ❯
Job Title: HR DataScience Intern About Us: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy … to know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented DataScience Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals and understand HR data and workflows. … You will leverage this understanding to analyze data, automate workflows, embed AI, and enable data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain. The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
Role : Junior Data Scientist Location : London, UK (Hybrid) Salary : £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist … eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data … solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align datascience initiatives with business goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in More ❯
Role : Junior Data Scientist Location : London, UK (Hybrid) Salary : £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist … eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data … solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align datascience initiatives with business goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in More ❯
Job ID: Amazon Development Centre (India) Private Limited - S55 The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research … Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business … the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, datascience skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to More ❯
POSITION OVERVIEW As a data scientist, you'll play a pivotal role in developing and enhancing our innovative supply chain solutions. You'll collaborate closely with a talented team of passionate engineers and industry experts, applying data engineering and datascience techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients … implement machine learning models to improve the accuracy of supply chain ETA s. Analyze large, complex datasets to extract meaningful insights and identify trends. Design, build, and maintain scalable data pipelines and data lakes to ensure efficient data flow and storage for analytics purposes. Collaborate with cross-functional teams to integrate analytics solutions into our products. Design … and build data visualization tools to communicate findings to stakeholders. Continuously research and apply the latest techniques in AI and machine learning to supply chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex datascience concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning More ❯
Our fully automated, purpose-built solution eliminates the manual processing of business- critical commercial documents with 100% data accurate, touchless transactions. These documents include purchase orders, invoices, advance shipping notices, and other essential commercial documents exchanged between business and their customers. About the Role: As Conexiom continues to be experiencing significant growth, we are scaling our datascience initiatives to the next level. Conexiom's data scientist is a problem-solver, and we are building real-world Machine Learning (ML) solutions in an enterprise product suite to further position Conexiom as a thought leader in the business automation space. You will be working in a fast-paced Agile environment with a proven ML product already in … Implement machine learning models into production environments, ensuring scalability and reliability. Monitor and maintain the performance of deployed models, making updates and improvements as necessary. Work closely with the data engineer and Principal ML engineer. Stay updated with the latest advancements in machine learning, AI, and datascience Qualifications: Bachelor's or Master's degree in Computer More ❯
by accelerating and optimizing access to medical advances. We partner with life sciences companies around the world to generate evidence to demonstrate the value of their product, translate the science and data into compelling product narratives, and enable commercial decisions that position these products for success in the market. We do this through strategic and complimentary areas of … focus: Strategy Consulting & Insights, Value, Access, & Outcomes, and Medical Strategy and Communications. Responsibilities/Position overview As a Senior Data Engineer, you will work closely with another Senior Data Engineer to manage and optimize the company's data infrastructure. Your primary focus will be on integrating and supporting our enterprise systems-including NetSuite and Kantata (our PSA … tool)-as well as our Azure-based data platform. You will share responsibility for maintaining our Azure SQL Data Warehouse, orchestrating ETL pipelines using Azure Data Factory, and ensuring the Finance team has access to clean, timely data for Power BI reporting. Your role will involve working with diverse data formats (relational databases, hierarchical JSON More ❯
About Jaja Our Mission: Empowering our customers to buy, borrow, and build-driven by tech, fuelled by data, and built for the future. Our Company Values : C are Deeply, Adapt & Thrive, Challenge everything, Go for it! Own it, Make it Simple Jaja is an innovative UK based consumer finance business, leading initially with a digital credit card launched in … impact in a growing business on a mission to change the face of the consumer finance industry forever . About The Role Jaja Finance is looking for a Senior Data Scientist to join our team. Your role will span across the whole lifecycle of model development. That means you are someone who enjoys in equal measures the data … You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance monitoring. As a Data Scientist, you'll play a key role in the end-to-end lifecycle of our advanced machine learning More ❯
Senior Data Engineer We are seeking a highly skilled Data Engineer to focus on maintaining data streams and ETL pipelines within a cloud-based environment. The ideal candidate will have experience in building, monitoring, and optimizing data pipelines, ensuring data consistency, and proactively collaborating with upstream and downstream teams to enable seamless data flow … across the organization. In this role, you will not only troubleshoot and resolve pipeline issues but also contribute to enhancing data architecture, implementing best practices in data governance and security, and ensuring the scalability and performance of data solutions. You will play a critical role in understanding the business context of data, supporting analytics and decision … making by collaborating with data scientists, analysts, and other key stakeholders This position requires client presence between 25%-50% of the time per month at the client's office, which is located in London. Key Responsibilities: Data Pipeline Development & Maintenance Build, maintain, and optimize scalable ETL/ELT pipelines using tools such as Dagster, or similar. Ensure high More ❯
Job Description: We are seeking a highly skilled and visionary Director of Data Platforms and Architecture to lead the design, development, and governance of our enterprise-wide Snacking data platform ecosystem. This individual will be responsible for driving platform strategy, fostering innovation, and ensuring robust data architecture that empower multiple products and capabilities to power business decisions … scalability, and operational excellence. As a strategic leader, the Director of Data Platforms and Architecture will oversee the implementation and optimization of cutting-edge data technologies & solutions, establish best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop and drive the long-term vision for enterprise data platforms and architecture, ensuring alignment with organizational goals and priorities. Collaborate with C-level executives and business leaders to identify opportunities for leveraging data as a More ❯
Job Description: The Food & Nutrition Data Architect will be a key driving force in transforming the Food & Nutrition (F&N) business segment. Working closely with our partners, you will have overall accountability for data solution design, including Analytics, Visualisation, Dashboards, and Ops. You will be responsible to bring in thought leadership in your domain of expertise and apply … them to ways of working. As a trusted advisor, you will collaborate with segment cross-functional teams to design and implement cutting-edge data solutions that enhance customer experiences, drive revenue growth, and maintain a competitive edge in the digital marketplace. Moving to One Enterprise Data Platform for Food is a strategic Mars Food & Nutrition ambition. We aim … to harness the power of data and insights, to solve some of the critical business-wide problems we face. And most importantly, we intend to simplify the global end user experience for data and analytics, unlocking quality growth and operational excellence. What are we looking for? Hands-on experience in designing greenfield, scalable data platforms in cloud More ❯
Job Description: The Food & Nutrition Data Architect will be a key driving force in transforming the Food & Nutrition (F&N) business segment. Working closely with our partners, you will have overall accountability for data solution design, including Analytics, Visualisation, Dashboards, and Ops. You will be responsible to bring in thought leadership in your domain of expertise and apply … them to ways of working. As a trusted advisor, you will collaborate with segment cross-functional teams to design and implement cutting-edge data solutions that enhance customer experiences, drive revenue growth, and maintain a competitive edge in the digital marketplace. Moving to One Enterprise Data Platform for Food is a strategic Mars Food & Nutrition ambition. We aim … to harness the power of data and insights, to solve some of the critical business-wide problems we face. And most importantly, we intend to simplify the global end user experience for data and analytics, unlocking quality growth and operational excellence. What are we looking for? Hands-on experience in designing greenfield, scalable data platforms in cloud More ❯
approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including datascience and AI. They build data lakes and … warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising … clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes More ❯
company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on … We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems More ❯
We are looking for a Senior Data Scientist who enjoys seeing their work used as part of 'real-life' solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team of Data Engineers … and Data Analysts. In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a cooperative, can-do attitude who can build high-quality datascience solutions. If this sounds like you, we can … t wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of datascience solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining More ❯
will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from In Technology Group Head of Data, BI, and AI @ In Technology Group. Job Title: Machine Learning Engineer Our Data Analytics business continues to grow and we are now looking for an experienced and technical … also provide wider ranging support to insurance companies in the life and bulk annuities sector. The Team The client is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and … for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing. Collect, clean and preprocess large datasets to facilitate More ❯
of this programme, you'll help clients navigate their digital transformation journeys, leveraging the latest tools, technologies, and methodologies to solve complex business problems. Whether you're interested in data analytics, technology consulting, or risk management, this programme will give you exposure to a variety of industries and services. You'll collaborate with PwC's global network of experts … implement enterprise systems, and deploy innovative solutions that drive operational improvements. Technology in Deals (One Deals Technology): Support M&A and other transaction-related activities by evaluating technology infrastructure, data security, and digital capabilities of target companies. Provide insights to help clients make informed decisions on acquisitions, mergers, and other business transactions, using technology to gain a competitive edge. … Risk and Technology (Data Analytics): Develop data-driven solutions to help clients manage regulatory compliance, cybersecurity, and operational risks. Use advanced analytics, data visualisation, and machine learning techniques to provide clients with valuable insights that can inform risk management strategies. Assess and enhance the security of clients' technology infrastructure and support the design of robust cybersecurity systems. More ❯
