platforms. Champion/challenger testing methodology experience. Experience Required: Extensive experience working with decision systems platforms (FICO systems, Provenir, SDS/PowerCurve, etc.). Education Required: STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience. Additional Information This role is INSIDE IR35 More ❯
models in real-world environments. - Strong understanding of Gen AI technologies. Having worked with both structured and unstructured data in the past to gain effective insights. - Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions PREFERRED QUALIFICATIONS - History of successful technical consulting and/or architecture engagements More ❯
Cambridge University Hospital NHS Foundation Trust
plans, prioritise workloads, and manage resources effectively Proficiency in Microsoft Office tools (Word, Excel, PowerPoint, MS Project) Strong analytical and problem-solving skills, with experience interpreting complex data and statistics Excellent written and verbal communication skills, including the ability to write concise reports and present complex information clearly Confident presenting to large groups, including senior staff and external stakeholders Ability More ❯
manage relationships with key stakeholders around the business Manage, mentor and coach more junior members of the team About you: Highly numerate with a graduate or postgraduate degree in Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning More ❯
Peterborough, Cambridgeshire, East Anglia, United Kingdom
Gerrard White
manage relationships with key stakeholders around the business Manage, mentor and coach more junior members of the team About you: Highly numerate with a graduate or postgraduate degree in Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning More ❯
Stevenage, Hertfordshire, United Kingdom Hybrid / WFH Options
GlaxoSmithKline
you must be studying for an Undergraduate Degree in a subject related to the role. Includes Life sciences, Biomedical Sciences, Engineering, Mathematics, Bioinformatics, Computer Science, Business Analysis, Information Sciences, Statistics, Data Sciences, Biology, Chemistry, Physics or related fields. Please read the degree requirements for each role carefully before applying. Other requirements: You will have completed a minimum of 2 years … All roles are within the Data, Automation & Predictive Sciences Department. Please read each description carefully before applying. Role 1 - Research Data Science Degree requirements: Life sciences, Bioinformatics, Computational sciences, Statistics, Mathematics Placement Overview: Designing, building, and deploying data analyses and predictive models for scientific discovery in GSK's research areas. Implementing and benchmarking computational methods leveraging cloud and AI/… . Benchmark approaches to compare different algorithms. Interact with laboratory and computational scientists to understand scientific context. Role 2 - Scientific Data Engineering Degree requirements: Physical Science (Chemistry, Engineering, Mathematics, Statistics) or Biological Science (Biology, Biomedical Sciences, Physiology) or equivalent Placement Overview: Design, build, and deploy data pipelines, analyses and visualizations that interact with databases containing GSK's research data, delivering More ❯
regarding the future of clinical services and patient safety. Data produced by the Trust informs secondary users within the NHS, Integrated Care System and other external bodies to produce statistics (such as standardised mortality rates) and monitor clinical outcomes and key quality indicators. Main duties of the job Liaise with Division data quality leads/department heads regarding data quality More ❯