10 of 10 Statistical Analysis Jobs in Central London

help define and uphold the analytical standards used to evaluate high‐stakes AI systems. This role sits at the intersection of fairness evaluation, rigorous statistical analysis, and applied understanding of hiring and selection processes. You’ll work closely with senior technical leadership, founders, and product teams across hands … analysis, methodological design, and longer‐term strategic thinking. As an early senior research hire, you’ll have significant influence over both our analytical approach and how the function evolves as we scale. What you’ll do Define and maintain robust evaluation methodologies, including statistical tests, fairness metrics, sampling ...

existing single source of truth. Source Control GitHub (or equivalent): managing BI code, TMDL definitions, and deployment pipelines with branching, review, and release workflows Statistical Analysis R or Python for descriptive and inferential statistics, trend analysis, variance analysis, and data exploration in support of commercial insight … Construction Knowledge Working understanding of construction commercial processes: CVRs, cost-to-complete, revenue recognition, margin analysis, subcontractor accounts. Familiarity with programme management data: float, critical path, earned value, and how reported progress relates to reality on site. Awareness of how construction projects are financially structured: prelims, measured works, variations ...

growth teams, with analytics playing a critical role in shaping strategy. The Role Partner closely with growth and marketing teams to support performance analysis and commercial decision making Analyse marketing spend across digital channels including paid social and search, assessing efficiency and ROI Own attribution analysis to understand … financial products and recommend alternative pathways for rejected users Build models to answer commercial questions such as incrementality, uplift and new channel effectiveness Apply statistical techniques to support experimentation, testing and investment decisions Work closely with senior stakeholders including the Head of Growth and CMO to translate insight into ...

engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. … Demonstrate knowledge of storytelling tools, collaboration tools to support workshops as well and foundational data and AI tools, such as data visualization and basic statistical analysis tools, to support client engagements and project deliverables. Stakeholder Management Skills: Proven ability to engage effectively with senior management and stakeholders, fostering ...

research team. You will get the chance to lead modelling for a variety of clients by owning the analytics workstreams, including segmentation analysis, factor reduction, and multi-level regressions. Setting best practices, standards and processes for analytics. You will take responsibility for automating common analytical tasks, particularly for trackers … minimum of 3 years of relevant experience gained within market or social/political research. If you have experience working with survey data, statistical analysis, the ability to run exploratory data analysis, a deep understanding of working with survey data, including wrangling, merging, cleaning and weighting ...

join a specialist data and analytics team within a leading UK awarding organisation. In this role, you will work with large scale data applying statistical analysis and data modelling to generate insights that inform key decisions, while also helping to improve processes and ensure consistency across all areas … enjoys working with complex data and wants to make a meaningful impact. You will be responsible for analysing and interpreting complex datasets and supporting statistical modelling for awarding decisions. You will produce clear reports, visualisations and insights that can be understood by both technical and non-technical stakeholders. Alongside ...

transformer‐based architectures and LLM‐driven systems. Build and assess agentic AI workflows , retrieval‐augmented pipelines, and advanced evaluation frameworks. Conduct rigorous model benchmarking, statistical analysis, and robustness testing to ensure scientific integrity. Contribute to the organisation’s broader AI capability growth, best practices, and technical governance. Essential … LLMs, generative AI, and transformer models . Hands‐on experience with agentic workflows , modern AI toolchains, and evaluation methodologies. Deep understanding of machine learning, statistical modelling, and optimisation techniques. Strong programming skills (Python preferred) and experience with modern AI/ML frameworks. Proven experience delivering AI solutions in complex ...

role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This role requires a deep understanding of both … that strategy in a complex and dynamic investigations environment Has proven expertise in SQL, Python, and other relevant programming languages to perform data curation, analysis and interrogation to return answers to the analytical questions posed Has experience in translating non-technical business requirements into analytical solutions Is a qualified ...

Flexible Start Date: ASAP About the role: The successful candidate will be an experienced ‘hands on’ KDB developer. Prior experience of distributed systems and statistical analysis is desired. The ability to react quickly to business changes and liaise with a variety of front office technology colleagues. As part ...

LOOKING FOR ✔ 5+ years Python and/or Go ✔ Strong Linux experience ✔ Solid CS fundamentals (data structures, algorithms) ✔ Experience with monitoring, metrics, or statistical analysis ✔ CI/CD and Git experience ✔ Background in infrastructure, platform engineering, or SRE-type roles ✔ Strong ownership mindset in production-critical environments ...