Carmarthenshire, Wales, United Kingdom Hybrid / WFH Options
Unify Talent - IT, Digital & Tech Recruitment
using a range of statistical and data science techniques. Interpret briefs from senior stakeholders and independently build out appropriate solutions. Apply and develop statistical models (e.g. regression, segmentation, predictive analytics, etc.) and data transformations. Collaborate with technical and research teams to develop internal tools, products, and automation pipelines. Maintain high standards of data quality, reproducibility, and documentation. Communicate findings clearly … and ambitious team that values integrity and innovation. ** Help build the next generation of research tools and products . **Opportunities for real career progression, learning, and development in AI, analytics, and applied data science. Benefits include: Workplace Culture & Social Perks Learning & Development Time Off & Flexibility Work Life Balance Health & Wellness Financial Wellbeing And SO much more Sound like you??? Well More ❯
using a range of statistical and data science techniques. Interpret briefs from senior stakeholders and independently build out appropriate solutions. Apply and develop statistical models (e.g. regression, segmentation, predictive analytics, etc.) and data transformations. Collaborate with technical and research teams to develop internal tools, products, and automation pipelines. Maintain high standards of data quality, reproducibility, and documentation. Communicate findings clearly … and ambitious team that values integrity and innovation. Help build the next generation of research tools and products . Opportunities for real career progression, learning, and development in AI, analytics, and applied data science. Benefits include: Workplace Culture & Social Perks Learning & Development Time Off & Flexibility Work Life Balance Health & Wellness Financial Wellbeing And SO much more Sound like you Well More ❯
London, England, United Kingdom Hybrid / WFH Options
ZipRecruiter
using a range of statistical and data science techniques. Interpret briefs from senior stakeholders and independently build out appropriate solutions. Apply and develop statistical models (e.g. regression, segmentation, predictive analytics, etc.) and data transformations. Collaborate with technical and research teams to develop internal tools, products, and automation pipelines. Maintain high standards of data quality, reproducibility, and documentation. Communicate findings clearly … supportive, and ambitious team that values integrity and innovation. ** Help build the next of research tools and products . **Opportunities for real career progression, learning, and development in AI, analytics, and applied data science. Benefits include: Workplace Culture & Social Perks Learning & Development Time Off & Flexibility Work Life Balance Health & Wellness Financial Wellbeing And SO much more Sound like you??? Well More ❯
City of London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
/ML solutions. Adopt cutting-edge advancements in GenAI and LLM technologies to keep the platform at the forefront of innovation. Align with the bank's central Enterprise Advanced Analytics & Artificial Intelligence group to ensure alignment with organizational goals, strategies, and governance. Manage large datasets and support data preparation, integration, and analytics across various data sources (orders, quotes, trades, risk More ❯
London, England, United Kingdom Hybrid / WFH Options
Travelers
over 160 years. Join us to discover a culture rooted in innovation and thriving on collaboration. Imagine loving what you do and where you do it. Job Category : Data Analytics, Technology Target Openings : 1 What Is the Opportunity? At Travelers, we create trusted strategic products and services to unlock the power of our data. Travelers Data Engineering team constructs pipelines … MS Office products. Education: BSc degree or higher in a relevant field with Computer Studies qualifications. What is a Must Have? Bachelor’s degree or extensive relevant data and analytics/data management experience. What Is in It for You? Private Medical Insurance: Single coverage upon employment, with options for dependents at your expense. Retirement: Company contributions to your Pension More ❯
We are currently looking for Senior Data Modeller to join our growing Sofia based Analytics Team, established in 2007, as we are expanding our portfolio to support our North America Business. As a Senior Data Modeller, you will develop and validate analytical solutions for diverse clients – this includes ad hoc data analysis as well as development of statistical models for … help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services More ❯
London, England, United Kingdom Hybrid / WFH Options
NTT DATA
workshops and discover requirements effectively. Team-oriented with a contribution mindset, especially within matrix organizations. Up-to-date knowledge of emerging technologies like Cloud platforms (Azure, AWS, GCP), Data Analytics, Containers, RPA, IoT, and Automation. Analytical skills for input and data analysis. Passion for industry trends, learning, and growth in specialization. Academic Qualifications and Certifications: Bachelor’s degree or equivalent … in IT or related fields. Certifications in ITIL, Service Management, Automation, AI, Analytics, and cloud platforms (AWS, Azure) are preferred. Scaled Agile or similar certifications are desirable. Required Experience: Proven experience designing managed services solutions for large enterprises. Experience structuring profitable multi-year contracts. Ability to create compelling value propositions and solution plans. Experience working in global delivery environments across More ❯
new Senior Data Analyst jobs in London, England, United Kingdom . Senior Data Analyst | Greenfield Trading House | Up to £100k + Bonus | London Hybrid 3x/week Liquidity Data & Analytics Business Analyst London, England, United Kingdom 1 day ago Data Analyst, Power BI | Investment Management - Trading Platform | London, Hybrid | up to £100k + Bonus, Benefits Data Analyst, Power BI | Investment … United Kingdom £300 - £300 1 week ago Bromley, England, United Kingdom 2 weeks ago City Of London, England, United Kingdom 3 days ago Business Analyst, Seller Compliance - Data Engineering & Analytics London, England, United Kingdom 1 week ago Business Data Analyst - Migration - Michael Page London, England, United Kingdom 3 days ago London, England, United Kingdom 2 weeks ago We’re unlocking More ❯
London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
/ML solutions. Adopt cutting-edge advancements in GenAI and LLM technologies to keep the platform at the forefront of innovation. Align with the bank's central Enterprise Advanced Analytics & Artificial Intelligence group to ensure alignment with organizational goals, strategies, and governance. Manage large datasets and support data preparation, integration, and analytics across various data sources (orders, quotes, trades, risk More ❯
Leicester, Leicestershire, United Kingdom Hybrid / WFH Options
Effect
a dynamic team, we want to hear from you. We're looking for a strategic and technically skilled Tracking Expert & Data Analyst to build and lead our data and analytics capabilities. This pivotal role will focus on implementing advanced tracking solutions, creating insightful reports, and providing data-driven recommendations to optimise performance. If you're passionate about leveraging data to … for new business pitches and case study development. Collaborate with teams to analyse user behaviour and campaign performance for prospective clients. About you About you Advanced experience with Google Analytics 4 and Google Tag Manager. Proficiency in BI tools like Looker Studio and Power BI. Strong knowledge of dataLayer customisation for advanced tracking needs. Experience with ETL processes and data More ❯
Empowered by our motto, " Making Data Matter ", Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we're on a mission to elevate the impact of data. We are data experts, guiding our clients through their data journey regardless of their level of … maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery. With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses taking advantage of the Data and Digital paradigm to enhance their More ❯
the intersection of data science, technology, and business strategy. Key Responsibilities Machine Learning (ML) & AI Development • Solve business challenges using advanced ML techniques such as deep learning and quantitative analytics • Design and run experiments with generative AI models across text, images, audio, and video • Consult on and implement algorithms for content generation • Define strategies to embed, scale, and optimize Machine … up-to-date with emerging research and techniques in AI and Machine Learning (ML) Business Impact & Collaboration • Understand business requirements and support the development of use cases • Run discovery analytics to identify opportunities for innovation • Partner with engineers to deploy Machine Learning (ML) algorithms that deliver measurable value • Contribute to sales activities by providing data science insights and shaping solutions … it's through model development, system integration, or deploying generative AI capabilities at scale. Core Technical Skills • Strong experience in generative AI, data science, Machine Learning (ML), and business analytics • Proficient in Python (preferred), R, Scala, or similar languages • Expertise in SQL, ETL, NoSQL, data warehousing, and big data tools (e.g., PySpark, Hive) • Skilled at working with structured and unstructured More ❯
10am) and working to 6-7pm would be ideal, but we are flexible on hours for the right person. Overview Will be responsible for supporting the lead Marketing Analytics manager in day-to-day tasks. The ideal candidate has a strong Google Tag Manager, Google Analytics, and SQL background. Experience with visualization tools, such as PowerBI, is a plus. More ❯
London, England, United Kingdom Hybrid / WFH Options
Person Centred Software Ltd
ll lead the design and deployment of predictive models, benchmarking tools, and data pipelines that directly improve outcomes in social care. You’ll work at the intersection of advanced analytics and compassionate innovation, shaping the future of care intelligence across the UK and beyond. What You’ll Do: Design and implement benchmarking methodologies using data from hundreds of care homes … across clinical and operational metrics Build scalable data science workflows using Azure Data Factory, Synapse Analytics, Databricks, and other Microsoft Azure services Lead end-to-end development of predictive models (e.g., fall prediction, infection prevention) using Azure Machine Learning Collaborate with developers and product managers to embed ML outputs into dashboards and APIs via Power BI and Azure tools Ensure More ❯
Empowered by our motto, " Making Data Matter ", Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we're on a mission to elevate the impact of data. We are data experts, guiding our clients through their data journey regardless of their level of … maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery. With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses taking advantage of the Data and Digital paradigm to enhance their More ❯
countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. Scope: Akkodis is launching a new technical delivery team to drive a UK national program in collaboration with … dedicated to building a scalable, data-driven recruitment ecosystem. Through redesigning, building, and rolling out a sophisticated Big Data system, our diverse roles span across architecture, project management, data analytics, development, and technical support, giving you the chance to shape a dynamic, next-gen digital infrastructure. You’ll be integral to our mission of crafting a seamless, powerful platform that More ❯
monitoring dashboards to track key financial and market metrics All About You Extensive experience in Consulting and managing large scale project execution and also in planning roles, with strong analytics experience and ability to work with large datasets and integrate diverse data sources to drive decision-making Strong communication skills with the ability to convey strategic vision and roadmaps to … industryand knowledge of CNPF A customer-focused, team-oriented, and solution-driven approach MBA with degree in Economics or Engineering Proficient in Excel and power point; knowledge of Data analytics tools and coding is plus (Alteryx, Python, R, SQL, Power BI, Tableau) Strong sense of urgency, comfortable operating in a fast paced and changing environment Corporate Security Responsibility All activities More ❯
methodologies, competitive analysis, and trend forecasting. • Analytical Skills: Exceptional data analysis skills and a proven ability to use data to inform decision-making. • Technical Proficiency: Familiarity with SQL, Google Analytics, Tableau, or similar tools for data analysis and reporting. • Leadership & Collaboration: Experience leading and inspiring cross-functional teams in a fast-paced and dynamic environment, with excellent collaborative skills. • Product … and market research, proactively monitoring industry trends and competitive landscapes, with a specific focus on the dynamic gambling and entertainment sectors. • Data-Driven Insights: Translate user feedback and data analytics into actionable product improvements and innovative features. • Product Innovation: Identify and capitalize on data-driven opportunities for product enhancements, new feature development, and market expansion. • Performance Optimization: Analyze product performance More ❯
that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Global Banking, Data, Analytics & Technology division, you will be an integral part of an agile team dedicated to advancing, creating, and deploying high-quality technology products, prioritizing security, stability, and scalability. Your profound technical … one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience performing data analytics on AWS platforms Experience in writing efficient SQL's, implementing complex ETL transformations on big data platform. Experience in a Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.) Experience More ❯
London, England, United Kingdom Hybrid / WFH Options
Deel
between. As a Data Engineer on this team, you’ll play a critical role in shaping the future of Deel’s data infrastructure, ensuring it scales effectively with 30+ Analytics Engineers and 100+ data professionals embedded across the organization. Our team collaborates cross-functionally with analysts, analytics engineers, data scientists, software engineers, and leadership to achieve these goals. Your Role … data from diverse sources into the data warehouse in both batch and streaming fashion. Optimize SQL queries to enhance data analysis and reporting. Partner with data analysts, data scientists, analytics engineers, and stakeholders to understand data workflows and provide technical support. Diagnose and resolve data-related issues promptly. Build a cutting-edge development environment and CI/CD system to More ❯
data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our Team … labor practices). Stay current with regulatory developments, industry standard methodologies, and emerging data trends Collaborate with your team and partners to improve scoring models with automation and predictive analytics Present findings and recommendations to senior leadership and internal partners. Showcase clear progress with clear critical metrics Partner with Product and Engineering to ensure deliverables are well understood, and align More ❯
be the ideal candidate for this position if you have: Advanced SQL skills with strong experience using relational databases. Hands-on experience with BigQuery or a similar large-scale analytics platform. Proficiency in Python or R, including libraries like Pandas. Experience working with BI tools such as Looker, Tableau, Power BI, or Mode. Confidence working in Jupyter or similar notebook … environments. A solid grasp of ETL processes and associated best practices. Familiarity with Git, Agile workflows, and DevOps tooling is advantageous. Exposure to customer/product analytics (e.g., churn, cohorts, LTV) is a bonus. Experience in a data-focused role for 2+ years, ideally within a tech environment. The benefits included with this opportunity: Annual salary uplift in recognition of More ❯
Bracknell, England, United Kingdom Hybrid / WFH Options
Circana, LLC
Cloud Data Engineering : Manage cloud infrastructure and cost optimization for data processing workloads Implement CI/CD pipelines for data workflows to ensure smooth and reliable deployments. Big Data & Analytics: Build and optimize large-scale data processing pipelines using Apache Spark and PySpark Implement data partitioning, caching, and performance tuning for Spark-based workloads. Work with diverse data formats (structured … and unstructured) to support advanced analytics and machine learning initiatives. Workflow Orchestration (Airflow) Design and maintain DAGs (Directed Acyclic Graphs) in Airflow to automate complex data workflows Monitor, troubleshoot, and optimize job execution and dependencies Team Leadership & Collaboration Lead a team of data engineers, providing technical guidance and mentorship Foster a collaborative environment and promote best practices for coding standards More ❯
enabling sustainable growth through a risk based approach. The ideal candidate will be enthusiastic about our mission of “Money Without Borders” and eager to take ownership of a large analytics domain within a dynamic product area. This position offers a unique opportunity to work with one of our largest squads, responsible for keeping bad actors off our platform while ensuring … population Review KYC controls targeted at mitigating this risk and assessing the efficiency of these controls Review of existing data sources regarding these controls, collaborating with other analysts and analytics engineers to improve them Run experiments to improve efficiency of KYC controls, refining triggers and requirements Qualifications Skill Requirements: You have strong quantitative skills. Ideally a background in statistics, maths More ❯
monitoring and notification systems for data pipeline success or failure to enhance operational efficiency. Sourcing data from multiple applications, profiling, cleansing and conforming to create master data sets for analytics use. Create a common, flexible, and scalable data framework applicable to various data projects and analytics initiatives. Establish standardized data components, design patterns, and methodologies to enhance data engineering project More ❯