51 to 65 of 65 Statistics Jobs in Central London

Stay up to date with rapidly evolving AI tools and actively incorporate them into solution design Requirements Strong background in data science and machine learning with solid understanding of statistics and programming Exposure to MLOps and experience deploying models into production environments Interest and practical experience in using emerging AI technologies such as co pilots, agentic frameworks, and generative AI More ❯

models and quant support to the business and R&D projects. We look for candidates like you Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields. Postgraduate studies and/or specialized courses are an asset, especially in Data Science, Quantitative Finance or similar. Should desirably have knowledge of modeling techniques More ❯

you... Educated to undergraduate level with a preference for top-tier universities. Keen to see candidates with a degree in Risk Management, Risk Management and Insurance, Business Administration, Economics, Statistics, Engineering, Law, Environmental Science, or other related fields Desirable to have a relevant MSc or MBA. Ideal candidates will have at least 8 years of relevant experience in professional services More ❯

you... Educated to undergraduate level with a preference for top-tier universities. Keen to see candidates with a degree in Risk Management, Risk Management and Insurance, Business Administration, Economics, Statistics, Engineering, Law, or other related fields Desirable to have a relevant MSc or MBA. Ideal candidates will have at least 5 years’ experience in professional services/consulting firm/ More ❯

you... Educated to undergraduate level with a preference for top-tier universities. Keen to see candidates with a degree in Risk Management, Risk Management and Insurance, Business Administration, Economics, Statistics, Engineering, Law, or other related fields Desirable to have a relevant MSc or MBA. Ideal candidates will have at least 5 years’ experience in professional services/consulting firm/ More ❯

Data Manager to lead and enhance our data management capabilities. This pivotal role will ensure the secure and effective use of a wide range of datasets including Hospital Episode Statistics, CPRD, and other administrative, survey, and commercial data and support analysts in accessing and working with these resources. You will be responsible for negotiating data access agreements, developing metadata and More ❯

industry trends and enhancing server architecture. What were looking for: 3+ years in game server development, ideally with slot or casino titles. Strong Python experience Solid understanding of probability, statistics, and how they apply to game mechanics. Comfortable with CI/CD pipelines, Git, cloud platforms, and containerisation (Docker). Strong problem-solving skills and the ability to communicate complex More ❯

global mobility in the future. About You ~5+ yrs quant experience with at least 2 yrs designing portfolio construction/optimisation for intraday/short‐term equities. Fluent in statistics & ML (shrinkage, online learning, factor models) and market microstructure (spreads, impact, queue dynamics). Polyglot coder who can prototype in Python and drop to C++ when speed matters. Comfortable leading More ❯

driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Strong background in mathematics, statistics More ❯

more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very competitive … sports trading industry would be beneficial. Skills required: Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not More ❯

About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development … technical audiences. A self-starter who thrives in a fast-paced R&D environment. Experience in catastrophe modelling, especially around exposure and vulnerability. Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory. Knowledge of machine learning applications in climate risk. Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please More ❯

Appreciation of front-office systems , architecture , and platforms used in financial services. Technical Proficiency : Experience with XML , FIX protocol , and SQL is highly advantageous. Understanding of Financial Mathematics or Statistics : A background in financial mathematics or statistics is a plus for tackling complex, quantitative product issues. More ❯

Appreciation of front-office systems , architecture , and platforms used in financial services. Technical Proficiency : Experience with XML , FIX protocol , and SQL is highly advantageous. Understanding of Financial Mathematics or Statistics : A background in financial mathematics or statistics is a plus for tackling complex, quantitative product issues. More ❯

service performance utilising large datasets and robust statistical methods and techniques, exploring alternative solutions and more innovative complex analyses. Utilise existing and new information management tools, preparing reports and statistics for management and outside agencies using Excel, Business Objects and similar analytical tools as required. Responsible for presenting the findings of data analysis, utilising appropriate methods, including infographics and other … data visualisation, to generate insights in an easy-to-understand format, ensuring that complex statistics are explained to non-statistical professionals in an understandable way to allow informed decision making. The consequences of decisions taken regarding data analysis and interpretation, will vary depending on the impact on EHSCP outcomes, but are likely to be significant. Investigate data collection problems and More ❯

About the Company You'll be joining a global leader in real estate services and technology solutions. Known for combining deep market expertise with cutting-edge innovation, this business is committed to modernising how property and investment decisions are made. More ❯