11 of 11 Remote/Hybrid Statistics Jobs in the South East

Work closely with operational teams to ensure models reflect real world constraints and behaviours Experience required: Master's degree (or equivalent) in Data Science, Statistics, Operations Research, Computer Science, Mathematics, or a closely related quantitative discipline Strong experience in a Data Scientist or Operational Research focused role working with large ...

turn insights into action.You’ll work within projects from data strategy sqand collection through to modelling, insight generation and activation, applying econometrics, regression, Bayesian statistics and machine learning to complex marketing and customer datasets.You’ll translate analytics into clear commercial recommendations, build dashboards and visual storytelling tools ...

collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able ...

analysis and AI evaluation, with the confidence to make judgement calls in ambiguous, high-stakes environments. Key requirements include: Strong commercial experience in applied statistics and experimental design Proven capability in bias and fairness evaluation for AI or algorithmic systems Experience generating and validating synthetic data for testing or assurance ...

depending on the project at the time. What you'll need to succeed You'll have a strong analytical background and enjoy applying data, statistics and modelling techniques to complex physical systems. You'll be comfortable working across disciplines and translating technical insight into practical outcomes.Essential experience includes: A degree ...

mission of the Rhodes Trust. Essential Knowledge, Skills and Experience - Degree or equivalent in a discipline with a substantial quantitative analytical component (e.g. statistics, economics, management science/operations research, finance or data analytics) and/or relevant experience working as a data analyst - Demonstrable expertise in deploying a range ...

clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype ...

scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype ...

ensure the efficient conduct of the SPC. Ensure the SPC H&S monitoring regime is implemented. Assist with the preparation of statutory reports, returns statistics and accounts etc. in line with applicable law and in accordance with the operations management contracts. Monitor all quality assurance aspects of each operating company ...

reviews, developing tools in Java or Python, and solving complex mathematical problems to meet specific requirements. Creativity and a strong understanding of probability, statistics, and player engagement are essential to ensure games meet the highest quality standards. Responsibilities Focus on the designing, developing, and delivering of new slot titles … with colleagues to test and refine new game concepts. Required Experience Undergraduate or Master’s degree in Mathematics or a related quantitative discipline (e.g., Statistics, Engineering, or Physics). Strong knowledge of combinatorics, probability theory, and quantitative analysis. Experience running Monte Carlo simulations, including interpreting data and refining models accordingly. ...

impact through data science in a complex business environment. Experience operating in cross functional settings and influencing senior stakeholders. Deep understanding of probabilistic modelling, statistics and machine learning, ideally grounded in an academic background such as mathematics, statistics, physics or a related field. The ability to balance rigour with pragmatism ...