126 to 150 of 448 Statistics Jobs in the UK

Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience. Can meet expectations for technical training and role‐specific outcomes within 3 months of hire. Can travel ...

approaches, and commercial strategies. Proficiency with analytical tools including: Data visualisation (Looker) SQL (our stack is based around BigQuery) Coding (Python, Github) Knowledge of statistics and experiment design. The interview journey: TA screening - 30 mins 1st stage with Head of Pricing & Revenue Management - 45 mins 2nd stage with key stakeholders ...

approaches, and commercial strategies. Proficiency with analytical tools including: Data visualisation (Looker) SQL (our stack is based around BigQuery) Coding (Python, Github) Knowledge of statistics and experiment design The interview journey: TA screening - 30 mins 1st stage with Head of Pricing & Revenue Management - 45 mins 2nd stage with key stakeholders ...

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 ...

scale datasets to extract precise, detailed market insights. Advanced experience using Microsoft Excel for complex data modelling and reporting. An educational background in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field. Exceptional communication skills demonstrated by the ability to translate complex statistical data into clear, actionable business strategies ...

project management and financial sector background. Therefore, the post-holder must have: A master’s degree from a recognised institution in business administration, economics, statistics, data analytics, risk management, or related discipline; or equivalent professional qualification(s) from a recognised professional body combined with relevant work experience appropriate ...

Minimum 5 years in data science or AI delivery, including hands‐on leadership of technical teams or workstreams. Strong foundations in machine learning and statistics, with demonstrable production experience. Practical experience with LLMs and generative AI — prompting, RAG, fine‐tuning, and evaluation. Exposure to AI agents and orchestration frameworks ...

instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills ...

clients use Python, R or similar tools in research and data-engineering workflows. A bachelor’s degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, business or a related discipline. Python proficiency is valuable but is not the principal requirement for this leadership role. The candidate should ...

with SQL/large datasets/AI tools and the aptitude and willingness to learn BA/BS or equivalent qualification. Major in finance, statistics, quantitative economics or another degree emphasising data analysis preferred Bonus points if you have: Familiarity with BI & Sales tools such as Nexus, Claude, Gemini, Tableau ...

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 ...

Good understanding of Consumer Duty and the role customer insight plays in demonstrating good customer outcomes Educated to a degree standard, ideally in applied statistics/operational research/management science. Insatiable curiosity with natural desire to relate to the commercial agenda of the business and to changes going ...

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 ...

attribution models, and marketing automation platforms. - Ability to analyze raw campaign data and develop actionable insights related to paid media performance. Understanding of basic statistics and mathematical modeling concepts such as statistical significance, standard deviations, and regression analysis. - Experience with incrementality testing, geo-lift studies, or other advanced measurement methodologies. ...

attribution models, and marketing automation platforms. - Ability to analyze raw campaign data and develop actionable insights related to paid media performance. Understanding of basic statistics and mathematical modeling concepts such as statistical significance, standard deviations, and regression analysis. - Experience with incrementality testing, geo-lift studies, or other advanced measurement methodologies. ...

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 ...

have a view on where it helps and where it doesn’t. The requirements Essential: Statistical foundations . Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty. Causal inference . Experience separating signal from noise in observational ...

quality, consistency and efficiency of measurement. Communicate analytical findings and recommendations clearly to technical and non-technical stakeholders. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Contribute to a culture of evidence-based decision-making by sharing knowledge … collaborating across teams and promoting analytical best practices. What We’re Looking For: Required: Master’s degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related ...

making by educating stakeholders, sharing best practices, and communicating advances in experimentation, causal inference and applied data science. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Represent the team across PlayStation, building strong partnerships, engaging senior stakeholders … promoting technical excellence in data science and experimentation. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science ...

marketing, ecommerce, loyalty, or subscription environments Advanced Python and SQL skills Experience building predictive models and deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

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). ...

marketing analytics best practices. Skills, Experience and Attributes We are looking for candidates with: A Bachelor's or postgraduate degree in Business, Economics, Statistics, Mathematics, Engineering, Finance or another numerically focused discipline. 3–5 years of experience in Digital Marketing Analytics, Marketing Analytics, Digital Analytics or Customer Analytics. Proven experience ...

quantitative models \* Strong analytical and problem-solving skills \* Ability to communicate complex findings to both technical and non-technical stakeholders \* A degree in Mathematics, Statistics, Physics, Engineering, Data Science, Econometrics or another quantitative discipline Desirable \* Previous Model Risk Validation experience \* Model Development experience \* Climate scenario analysis or stress testing \* Banking ...