231 jobs for “Data & Bi Developer”
Harnham - Data and Analytics Recruitment London £120,000 – £150,000 pa
Leads the integration of data science and analytics functions within a consumer business undergoing data transformation. Focuses on strategic direction, stakeholder influence, and delivery of measurable business impact through data-driven solutions. Redesigns reporting, drives self-serve analytics adoption, and scales a multidisciplinary team in a commercially driven environment.
Harnham - Data and Analytics Recruitment London £120,000 – £140,000 pa
Lead the data science function as an individual contributor, owning credit risk, collections and fraud modelling. Develop scorecards and decisioning models, apply machine learning to enhance the model suite, and drive implementation and profitability across the product range. Requires SQL and Python, with consumer lending and credit lifecycle knowledge desirable.
Palantir Technologies Sydney, Australia
Forward Deployed Software Engineers work directly with customers to understand their hardest problems and build data-driven solutions, spanning architecture discussions, large-scale data wrangling, custom web apps and executive-level strategy. Interns own end-to-end execution of high-stakes projects in small, lightly supervised teams, working with Python, Java, C++ or TypeScript.
Palantir Technologies New York, United States US$10,500 pm
Interns contribute production code directly to Palantir's Gotham defense product, working across the full lifecycle from ideation and prototyping to shipping. Paired with a dedicated mentor, they build mission-critical tools like geospatial mapping and alert-triaging systems using Java, Go, TypeScript, React, and Spark.
Outlier (by Scale AI) London
Outlier is an AI training platform owned and operated by Scale AI. Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models.About the opportunity:We are seeking detail-oriented English speakers to review AI-generated...
Outlier (by Scale AI) London
Outlier is an AI training platform owned and operated by Scale AI. Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models.About the opportunity:We are seeking detail-oriented English speakers to review AI-generated...
Databricks London
Embed with strategic enterprise customers to design, build and productionise custom fullstack data and AI applications on the Databricks platform. You own architecture and end-to-end delivery spanning data engineering, ML/AI integration and user-facing interfaces, partnering with Sales, Product and Field Engineering. Travel to client sites up to 50%.
Databricks London
Owns the EMEA go-to-market strategy for Databricks' Financial Services vertical, spanning Banking/Payments, Capital Markets and Insurance. Sets vision, builds field sales assets and account/segment-level plans, cultivates C-level customer and partner relationships, and works cross-functionally with sales, pre-sales, marketing and enablement. Requires travel and reports to the VP of Financial Services, Cyber Security and Sustainability GTM.
University of Essex Ipswich £40,000 – £45,000 pa
A KTP Associate role embedded at Distag QCS in Ipswich, working with a large, messy ERP dataset never designed for machine learning. The post holder shapes the data, builds reliable models, and leads the introduction of data-driven decision making in a business with no existing in-house data science capability, balancing hands-on development with commercial priorities.
UCL London £46,261 – £48,679 pa
Develop and evaluate novel AI algorithms to quantify brain iron load from standard-format MRI data, with a focus on quantitative susceptibility mapping (QSM). Based in UCL's Hawkes Institute, a multidisciplinary grouping at the intersection of engineering and health, the post is funded for four months.
LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE London £68,087 pa
Contribute to research and teaching in data science and statistics within an established department, with expertise sought in statistics, machine learning or data science. The role expects a strong publication trajectory and a viable future research strategy, with collaboration encouraged across the School's institutes.
University of Sheffield Sheffield £32,080 pa
Builds and evaluates machine learning models that predict Strep A outbreak risk from multiple real-world datasets, turning them into early-warning signals. Works closely with clinicians and an engineering team so the analysis feeds into a practical public health tool. Combines health data, time series and mathematical modelling in a cross-disciplinary research setting.
The University of Manchester Manchester £48,337 – £59,390 pa
Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing complex biological and chemical datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML expertise, training and support to computational and experimental colleagues.
University of Oxford Oxford £39,424 – £47,779 pa
Develop novel statistical and machine learning methods for large-scale genomic, phenotypic and health data, working with Professor Pier Palamara in the Palamara Group. Research spans genomic language models, multimodal and federated learning, and multi-trait/multi-ancestry methods applied to biobank-scale datasets for association testing, fine-mapping and polygenic prediction. The role also involves building reproducible research software, publishing, and guiding junior researchers.
Michael Page Technology London £62,000 – £75,000 pa
A brand new AI Engineer role within a 20-person AI team in the financial sector, working on new projects and products that use data to drive smarter decisions. Day to day involves designing, developing and deploying production-scale GenAI and AI/ML solutions, analysing large datasets, and collaborating with cross-functional teams to integrate AI into existing systems. The stack centres on Azure services and Python or C#, with LLM APIs, agents, LangChain and vector databases.
