We are seeking a proactive and detail-oriented Junior Data Analyst to join our Front Office Development Team. In this role, you will support the operations of the team by maintaining and enhancing existing systems, dashboards, and processes. This position offers a unique opportunity to develop your technical skills in C#, SQL, Python, and VB.NET while working closely with … actionable insights for the business Collaborate with team members and stakeholders to ensure dashboards meet business needs and are effectively utilised Design, build, and maintain automation solutions to streamline data processing and improve team efficiency, identifying opportunities for automation within existing processes and proposing innovative solutions Evaluate internal systems for efficiency, problems, and inaccuracies, and develop processes for data handling, processing, and cleaning Proactively analyse data to answer key questions for stakeholders, focusing on business performance and identifying areas for improvement in efficiency and productivity Generate reports and present findings to stakeholders, providing clear recommendations based on data analysis Take the opportunity to learn and develop skills in C#, SQL, Python, and VB.NET through shadowing and More ❯
global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. About the team The Global Revenue DataScience team provides Airwallex's Leadership with the data, tooling, and insights needed to amplify Airwallex's rapid growth. We partner across the entire business, giving us … an overarching view and opinion on what Airwallex should prioritize. Our expertise spans the full data stack, and we use it to tackle complex data problems that will shape the future of global fintech. The team is growing quickly, and currently based in the US, China, and Singapore. What you'll do Responsibilities: Be the go-to data partner for the CEO and Regional Business Leads. Partner with Finance, Data Engineering, and Product to align metric definitions/dimensions and data sources across the business. Use causal inference methods to understand how macroeconomic events impact the business. Leverage AI to generate insights and improve business and team efficiency. Lead Airwallex's forecasting efforts by More ❯
create a culture and environment where everyone feels empowered and more importantly comfortable enough to bring their full, authentic selves to work. Overview We're hiring for a Lead Data Scientist! You will play a crucial role in shaping and driving innovation through the development of datascience tools and solutions. You'll be responsible for designing … developing, and maintaining cutting-edge machine learning and AI prototypes, mentoring junior team members, and collaborating across teams to scale impactful data-driven products. This work directly supports our mission to deliver audience intelligence and creativity that fuels growth for our clients and the Saatchi & Saatchi brand. If this interests you, please keep reading below for more information. Responsibilities … Design, develop and maintain machine learning, deep learning, and AI prototype tools (including LLM and RAG products)• Collaborate with Audience Strategists to solve business problems using datascience• Lead and mentor junior data scientists and analysts• Work with Publicis Groupe technology teams to scale prototypes into robust, Groupe-wide solutions• Build scalable infrastructure and ensure compliance with More ❯
Our Principal Data Scientists are responsible for leading and delivering strategically significant, complex client engagements across our portfolio of clients. We believe that great delivery stems from a thorough understanding of our clients and their needs, strong discipline skills and subject matter expertise, excellent leadership and a clear vision of lasting and effective change in a public sector environment. … We expect our Principal Data Scientist to bring all of that and enthuse our delivery teams with the same passion. The successful candidate will lead the DataScience aspects of our client engagements while overseeing the wider delivery within the account (or industry) when appropriate. They will coach and develop team members on their engagements providing them … with detailed performance feedback, as well as monitoring overall delivery to achieve the highest levels of client satisfaction. In addition, our Principal Data Scientists are responsible for engaging with our clients to understand their challenges and build lasting, trusted advisor relationships. They will also oversee multiple, concurrent client deliveries to help ensure quality and drive the sharing of best More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Made Tech
Our Principal Data Scientists are responsible for leading and delivering strategically significant, complex client engagements across our portfolio of clients. We believe that great delivery stems from a thorough understanding of our clients and their needs, strong discipline skills and subject matter expertise, excellent leadership and a clear vision of lasting and effective change in a public sector environment. … We expect our Principal Data Scientist to bring all of that and enthuse our delivery teams with the same passion. The successful candidate will lead the DataScience aspects of our client engagements while overseeing the wider delivery within the account (or industry) when appropriate. They will coach and develop team members on their engagements providing them … with detailed performance feedback, as well as monitoring overall delivery to achieve the highest levels of client satisfaction. In addition, our Principal Data Scientists are responsible for engaging with our clients to understand their challenges and build lasting, trusted advisor relationships. They will also oversee multiple, concurrent client deliveries to help ensure quality and drive the sharing of best More ❯
About the Role This is a hands-on role focused on applying AI techniques to both geospatial and non-geospatial data, 3D workflows, and internal datasets to drive automation, insights, and new product capabilities. This presents an opportunity to contribute to novel research into developing spatial intelligence models, as well as the practical application of existing cutting edge techniques. … Responsibilities Collaborate with cross-functional teams including Product, Engineering, and Data Engineering to translate business challenges into scalable ML solutions. Collaborate with external AI specialists to deliver larger-scale projects. Explore, clean, and transform large datasets for training, validation, and inference, including geospatial data types. Design, test, and deploy predictive models and recommendation systems into production environments. Identify … and develop opportunities for AI-powered automation and decision-making tools. Contribute to the architecture of intelligent data pipelines that support both internal operations and customer-facing features. Continuously evaluate model performance and apply strategies for tuning, retraining, or improvement. Participate in product and project planning to help prioritize AI-driven initiatives. Mentor team members by sharing ML best More ❯
About the Role This is a hands-on role focused on applying AI techniques to both geospatial and non-geospatial data, 3D workflows, and internal datasets to drive automation, insights, and new product capabilities. This presents an opportunity to contribute to novel research into developing spatial intelligence models, as well as the practical application of existing cutting edge techniques. … Responsibilities Collaborate with cross-functional teams including Product, Engineering, and Data Engineering to translate business challenges into scalable ML solutions. Collaborate with external AI specialists to deliver larger-scale projects. Explore, clean, and transform large datasets for training, validation, and inference, including geospatial data types. Design, test, and deploy predictive models and recommendation systems into production environments. Identify … and develop opportunities for AI-powered automation and decision-making tools. Contribute to the architecture of intelligent data pipelines that support both internal operations and customer-facing features. Continuously evaluate model performance and apply strategies for tuning, retraining, or improvement. Participate in product and project planning to help prioritize AI-driven initiatives. Mentor team members by sharing ML best More ❯
why it stands up. What you'll be working on You'll be directly involved in: Developing predictive models to identify patterns in student behaviour and engagement, using real data from hundreds of thousands of students Refining student personas by analysing survey responses, behavioural data, and qualitative insights, ensuring accuracy and usefulness Conducting advanced statistical analysis and clustering … Creating robust documentation and clearly communicating your methods and results, ensuring reproducibility and clarity This role is deeply analytical and technical, designed to rapidly build your practical skills in datascience and predictive modelling within a real, high-impact environment Required Skills You'll be right for this role if: You have strong analytical skills, demonstrated by excellent … academic results, research projects, academic papers, or high placements in datascience competitions You have practical experience with statistical modelling or machine learning techniques (regression analysis, clustering, classification, predictive modelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or similar libraries) and comfortable performing data analysis using Jupyter notebooks More ❯
Data Scientist - Customer Lifetime Value Hybrid in London/Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in our CLtV team, you will be developing this model so … 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, datascience, and a 5-star customer service. The team Customer Lifetime Value (CLtV) represents the value each customer brings to iwoca. This concept is central to our business … is a small and versatile group of people who manage the CLtV model from the R&D stage all the way to deploying model releases into production. We manage data pipelines that enable the business to use our predictions in their day-to-day decision-making. Our dynamic and autonomous environment emphasises on 'getting things done' and delivering high More ❯
Data Insight Analyst - Category Specialist London, United Kingdom Posted on 03/06/2025 Zoro UK is a wholly owned subsidiary of Grainger (NYSE: GWW), a global industrial supplier with headquarters in Lake Forest, IL, USA. We are a new business in the Industrial MRO market, looking to increase our share of the market through a proposition focused … on our customers' needs. The Zoro teams are based in London and Leicester. Leicester hosts the Supplier, Merchandising, Customer, and Finance teams, while our Development, Marketing, and Data Analytics teams are in London. Working for Zoro UK means operating within a start-up culture but with the support of an established global player in the MRO market. We aim … to advance their career by taking on a new function, utilizing their analytical skills and commercial acumen to transform assortment management. Support will be provided to build expertise in datascience, SQL, and Python. Interpret data, analyze results using statistical methods, and produce ongoing reports. Assess the performance of Suppliers and Assortments within the Category and Supplier More ❯
Digital Experience function hiring in: United Kingdom Work Preference Option(s): Hybrid model Work from Office Join Ascent and help shape the future of data solutions by becoming a valued team member where your skills matter, your impact is significant, and your career can reach new heights. About Us We are Ascent! and we help our customers solve problems … elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, datascience, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We … Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. We are a Microsoft Azure focused consultancy and services company, specializing in App Innovation, Data, AI, and Cloud Infrastructure solutions. Recognized as a Fabric Featured Partner by Microsoft, we build and deploy data platforms for our customers on Fabric, Databricks and Synapse analytics More ❯
Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Data Engineering at Trainline At the heart of our Data Team, Data Engineers play a pivotal role by creating pipelines and tables that power impactful dashboards, enable self … service via SQL, and support innovative machine learning models and real-time data products. As a Data Engineer, you will be involved in engineering pipelines that will drive key decisions and give datascience powerful datasets to enable and drive new business insights. Data Engineers work alongside Machine learning engineers, BI Developers and Data Scientists in cross-functional teams with key impacts and visions. Using your skills with SQL, Python, data modelling and Spark to ingest and transform high volume complex raw event data into user-friendly high impact tables. As a department we strive to give our Data Engineers have high levels of autonomy and freedom to innovate and More ❯
Sr. Delivery Consultant - Data Scientist, AWS Professional Services Israel AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical … AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and … game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with ML More ❯
Central London, London, United Kingdom Hybrid / WFH Options
Police Digital Services
Police Digital Service (PDS) is recruiting on behalf of the NPCC National Data & Analytics Office , a dedicated national capability transforming data use in policing. This is an exciting opportunity to be part of a ground-breaking function within policing which will shape the future of data and analytics in UK law enforcement and help to utilise policing … data to better protect the public. The NDAO will ensure: Responsible data use across law enforcement Improved data governance and standardised datasets Enhanced data analytics services to support operational decision-making Professionalisation of data roles within policing A more integrated data-sharing ecosystem across forces Salary starting at £75,000pa . This role is … a Fixed Term for 12 months and you will be seconded from PDS into the NPCC & Data Analytics office. Key Responsibilities Lead the design and implementation of data analytics frameworks and methodologies. This is achieved by working closely with policing stakeholders to identify requirements, align solutions with operational priorities, and incorporate best practices. Provide expert guidance on dataMore ❯
Senior Data Analyst London or Manchester (hybrid working model, 2 days a week onsite, 3 days remote) Fantastic opportunity to secure an initial 6 months day rate contract, inside IR35, as a Senior Data Analyst. The Senior Data Analyst will work as part of the Network Traffic Management portfolio team. The Senior Data Analyst will work … doing? Understand and adopt the concept of Network Traffic Management with optimisation of network utilisation leading to efficiency in demand throughput, capacity and costs. Pioneer the identification of new data sets, drive the scope and delivery into production quality data, working with DataScience & Analytics team. Lead the critical thinking to collect the correct data for NTM initiatives through familiarisation with current data, with continuous drill down to (appropriate) next level to obtain conclusive outcomes. Proactively monitor & identify data trends and insights against the current network and performance measures providing recommendations leading to efficiencies and cost reduction. Monitor and analyse customer usage demand profiles to align with best practice for a fit 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. You can learn more about LexisNexis Risk at the link below, About the team: You will be part of a team who use global data from the … largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You'll leverage a real-time platform analysing billions … analytics workflows Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities Using your strong attention to detail and ability to craft a story through data, delivering industry-leading presentations for external and executive audiences Building an extensive knowledge of cybercrime - account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule More ❯
Data Scientist II (Marketing Testing) page is loaded Data Scientist II (Marketing Testing) Apply locations UK - London time type Full time posted on Posted Today time left to apply End Date: July 6, 2025 (28 days left to apply) job requisition id R-95431 Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech … cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Data Scientist II (Marketing Testing) If you're as passionate as we are about using data to drive positive change and build an outstanding marketing experience, this may be … the role for you! We are looking for a hardworking and intelligent individual to fill the Data Scientist II role (Marketing Testing) within the Marketing Measurement Analytics team. You will provide powerful insights and recommendations that will shape how our EG brands advertise to customers. This is a great opportunity to join a fun, exciting, data driven and More ❯
Data Scientist, AWS Generative AI Innovation Center Job ID: Amazon Web Services EMEA Dubai FZ Branch - Q29 Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve business and operational problems and promote innovation in their organization. This is a team of strategists, data scientists … and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.( generative-ai-innovation-center). We're looking for Data Scientists capable of using generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You will work directly with … You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Emirati national is required. Key job responsibilities As a Data Scientist, you will - Collaborate with AI/ML scientists, engineers, and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges - Interact More ❯
About the Role: In this role, you will play a key part in supporting client’s High Touch Support operations—designing and maintaining scalable data pipelines and creating solutions that drive customer satisfaction and informed business decisions. This is a hands-on role with a strong focus on metric development , data visualization , and data pipeline optimization . … You’ll work cross-functionally with Engineers, Data Scientists, and Product Managers to ensure the right data is captured, modeled, and surfaced to support ongoing initiatives. Key Responsibilities: Build and maintain scalable data pipelines and architecture Develop success metrics and dashboards to measure and drive team performance. Collaborate with stakeholders (PMs, DS, Eng) to define data needs and translate them into actionable insights Support knowledge management efforts—identifying performance gaps in support tools like search and agent experience Handle ad hoc data requests including bug fixes, data pulls, and issue investigations Leverage BI and integration tools like Azure Data Factory for robust data solutions Qualifications: 5+ years of experience with SQL More ❯
About the Role: In this role, you will play a key part in supporting client’s High Touch Support operations—designing and maintaining scalable data pipelines and creating solutions that drive customer satisfaction and informed business decisions. This is a hands-on role with a strong focus on metric development , data visualization , and data pipeline optimization . … You’ll work cross-functionally with Engineers, Data Scientists, and Product Managers to ensure the right data is captured, modeled, and surfaced to support ongoing initiatives. Key Responsibilities: Build and maintain scalable data pipelines and architecture Develop success metrics and dashboards to measure and drive team performance. Collaborate with stakeholders (PMs, DS, Eng) to define data needs and translate them into actionable insights Support knowledge management efforts—identifying performance gaps in support tools like search and agent experience Handle ad hoc data requests including bug fixes, data pulls, and issue investigations Leverage BI and integration tools like Azure Data Factory for robust data solutions Qualifications: 5+ years of experience with SQL More ❯
About the Role: In this role, you will play a key part in supporting client’s High Touch Support operations—designing and maintaining scalable data pipelines and creating solutions that drive customer satisfaction and informed business decisions. This is a hands-on role with a strong focus on metric development , data visualization , and data pipeline optimization . … You’ll work cross-functionally with Engineers, Data Scientists, and Product Managers to ensure the right data is captured, modeled, and surfaced to support ongoing initiatives. Key Responsibilities: Build and maintain scalable data pipelines and architecture Develop success metrics and dashboards to measure and drive team performance. Collaborate with stakeholders (PMs, DS, Eng) to define data needs and translate them into actionable insights Support knowledge management efforts—identifying performance gaps in support tools like search and agent experience Handle ad hoc data requests including bug fixes, data pulls, and issue investigations Leverage BI and integration tools like Azure Data Factory for robust data solutions Qualifications: 5+ years of experience with SQL More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Signify Technology
Job Title: Data Engineer Location: London (Hybrid one day a week) Job Summary: Signify have partnered with a client who are seeking for a Senior Data Engineer to join their growing data team. This role involves designing, building, and maintaining data pipelines and infrastructure to support analytics and business intelligence efforts across the organisation. The ideal … candidate will have a strong background in handling large-scale data environments and a passion for creating scalable, efficient data solutions. Key Responsibilities: Manage and maintain day to day data operations, including ETL workflows, scheduled data loads, and data pipeline monitoring. Develop and optimise data pipelines for integrating structured and unstructured data from … various internal and external sources. Leverage big data technologies such as Apache Spark, Kafka, and Scala to build robust and scalable data processing systems. Write clean, maintainable code in Python or Scala to support data transformation, orchestration, and integration tasks. Work with cloud platforms like AWS to deploy, monitor, and manage data services. Utilise tools such More ❯
Job Title: Data Engineer Location: London (Hybrid one day a week) Job Summary: Signify have partnered with a client who are seeking for a Senior Data Engineer to join their growing data team. This role involves designing, building, and maintaining data pipelines and infrastructure to support analytics and business intelligence efforts across the organisation. The ideal … candidate will have a strong background in handling large-scale data environments and a passion for creating scalable, efficient data solutions. Key Responsibilities: Manage and maintain day to day data operations, including ETL workflows, scheduled data loads, and data pipeline monitoring. Develop and optimise data pipelines for integrating structured and unstructured data from … various internal and external sources. Leverage big data technologies such as Apache Spark, Kafka, and Scala to build robust and scalable data processing systems. Write clean, maintainable code in Python or Scala to support data transformation, orchestration, and integration tasks. Work with cloud platforms like AWS to deploy, monitor, and manage data services. Utilise tools such More ❯
BettingJobs is currently recruiting for CRM Data Scientist for a leading gambling provider based in London. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize … campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent … problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness to take ownership of analytics projects and be the engine driving them from ideation phase till bringing out the product to customers, and beyond. More ❯
BettingJobs is currently recruiting for CRM Data Scientist for a leading gambling provider based in London. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize … campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent … problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness to take ownership of analytics projects and be the engine driving them from ideation phase till bringing out the product to customers, and beyond. More ❯
