51 to 75 of 208 Statistics Jobs in the UK

standard for technical execution, design thinking, and engineering rigor You’ll need to have: A bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance or other STEM related field or degree‐equivalent qualifications 4+ years of experience designing and building scalable data solutions, ETL pipelines, data workflows ...

handling ambiguous concepts and breaking down complex problems into manageable pieces. Ability to apply critical thinking and creative problem-solving skills. Qualifications Degree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant evidence of continuous professional development in automation or AI. Experience Significant experience delivering business process ...

standard for technical execution, design thinking, and engineering rigor You’ll need to have: A bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance or other STEM related field or degree‐equivalent qualifications 4+ years of experience designing and building scalable data solutions, ETL pipelines, data workflows ...

across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls REQUIREMENTS Masters degree or PhD in Mathematics, Physics (non‐experimental), Probability/Statistics, Engineering, or (Mathematical) Finance Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset‐backed ...

across problem types, from generative models to vision to search. We expect you to bring: PhD or equivalent experience in Machine Learning, Computer Science, Statistics, Physics, or a related quantitative field — 5+ years (Senior) or 8+ years (Staff) of hands‐on applied ML experience, including production‐grade work. Deep familiarity ...

description attached for full list of responsibilities. Person Specification Education/Qualifications Essential Masters in a relevant discipline (data science, health economics, medical statistics, epidemiology, health informatics or another quantitative discipline) or equivalent level of knowledge acquired through experience Experience Essential Experience working with different sources of healthcare data, including ...

development Feature engineering Evaluation and validation Deployment into production environments Demonstrated experience taking models beyond experimentation into operational, business‐critical systems. Strong background in statistics and quantitative problem solving. Proficiency in Python and SQL, with experience writing production‐quality, maintainable code. Experience with modern data science tooling, including: Version control ...

tasks, manage Planner bucket automation, convert shared mailbox emails into actionable tasks, and streamline document collection flows.**What you bring:*** Degree in Computer Science, Statistics, Data Analytics or equivalent work experience is equally preferable; foundational knowledge of enterprise information management is essential.* Proven experience in data quality assurance, validation ...

through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). ...

data science and machine learning Expert‐level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end‐to‐end data science solutions into production Leadership and mentorship capabilities to elevate team performance ...

GAMs, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Proficient in using WTWs Radar software Proficient at communicating results in a concise manner both verbally and written ...

remediation of model issues before deployment and drive incremental improvement to model performance assessment tools. Qualifications Master’s degree or PhD (preferably in Mathematics, Statistics, Physics or related field). Experience in quantitative modelling for a global financial institution. Strong programming skills in C++ and Python; solid understanding of software ...

colleagues through GitHub, shared standards and code review. Skills Required: A degree in a quantitative, analytical or spatial subject such as geography, data science, statistics, mathematics, operational research, economics, engineering, GIS, planning or a related field. Good Python skills, particularly for data manipulation and analysis using libraries such as pandas. ...

libraries (scikit-learn, SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including clustering, predictive modeling, regression, and algorithmic fairness evaluations. Exploratory Data Storytelling: Ability to visually explain algorithm performance (using Plotly, Seaborn, etc.) and present model ...

libraries (scikit-learn, SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including clustering, predictive modeling, regression, and algorithmic fairness evaluations. Exploratory Data Storytelling: Ability to visually explain algorithm performance (using Plotly, Seaborn, etc.) and present model ...

outstrips supply. Your fast-track in Over 10 weeks, our academy takes you from graduate to job-ready pricing analyst: Python/R, SQL, statistics, Excel and insurance fundamentals, taught by trainers widely regarded as the best in UK pricing people who have built and led pricing functions at major ...

SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software and optimisation tools. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication skills to convey complex technical concepts to technical and non-technical audiences. A passion for innovation, continuous ...

enterprise‐wide initiatives Strong communicator able to explain complex methodologies to senior stakeholders, auditors and regulators Skills Quantitative methods: regression, classification, clustering, machine learning, statistics Large‐scale data sets (structured or unstructured) Building user‐facing applications over large data volumes (React, Angular, JavaScript) Process improvements and automation High intellectual curiosity ...

Desired Skills & Experience*** Solid experience in a highly analytical environment, ideally across corporate strategy, strategic planning, consulting, or finance.* Master’s degree in Business, Statistics, Finance, Economics or a related discipline.* Strong analytical, strategic and financial acumen, with the ability to turn complex information into clear business insight.* Proven expertise ...

test Graphcore’s next generation of AI hardware. About you Essential: Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation ...

complexity through structured onboarding and role-specific training during the first 90 days. Required Knowledge And Experiences Bachelor's degree in Business, Marketing, Economics, Statistics, Computer Science or a related analytical/technical field, or equivalent experience. Track record years' experience in marketing, data, STEM or a related quantitative discipline ...

technical trade‐offs, risks and progress clearly to both technical and non‐technical stakeholders. Knowledge, Experience and Qualifications Essential Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. 5+ year work experience in relevant field. Strong software engineering capability in Python, including ...

conception to delivery while aligning with business objectives. · Have an advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading ...

conception to delivery while aligning with business objectives. · Have an advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading ...

care and continuous feedback, with an annual performance review cycle. Knowledge, Experience and Qualifications Essential Extensive commercial software experience. Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python ...