11 of 11 DemandTrendContract Statistics Jobs in London

Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business insight. Excellent communication skills and a strong sense of ethics around data More ❯

Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business insight. Excellent communication skills and a strong sense of ethics around data More ❯

staff sponsored by their employers, and will range in experience/level (groups will be slit accordingly) Data Skills programmes: No-code Programme - Data visualisation, data cleaning, data analytics, statistics, Power BI Extended Programme - All of the above, plus basic Python (Pandas), SQL, and practical machine learning Course Format: Full-time: 10-12 weeks, one weekday More ❯

staff sponsored by their employers, and will range in experience/level (groups will be slit accordingly) Data Skills programmes: No-code Programme - Data visualisation, data cleaning, data analytics, statistics, Power BI Extended Programme - All of the above, plus basic Python (Pandas), SQL, and practical machine learning Course Format: Full-time: 10-12 weeks, one weekday More ❯

research teams with data validation, insight generation, and hypothesis testing. Collaborate through in-person whiteboarding and analysis sessions in Reading and London. Essential Expertise Specialist-level experience in applied statistics - including modelling, probability, and advanced quantitative techniques. Proven background in behavioural data analysis - particularly in survey, profiling, or human-interaction datasets. Strong command of SQL and Python for data analysis More ❯

similar. Experience - Must-haves: * Must have a number of years working commercially as a Data Scientist * Solid understanding of & real-world experience implementing data science & statistical principles - e.g. applied statistics, model selection, cross-validation, objective functions, hyperparameter tuning, continuous & discrete optimisation problems, etc. * Strong interpersonal skills & ability to explain data science principles with clarity to non-technical stakeholders when required More ❯

and with external stakeholders where required. Requirements Educated to at least degree level or equivalent in a discipline requiring substantive data investigation and analysis techniques, such as mathematics or statistics High-level competence in using and applying a range of statistical software packages (particularly R and SPSS) for data analysis and presentation purposes Good understanding of statistical theory and limitations More ❯

Experience Experience of working in a Senior Capacity as a Quantitative Developer Experienced of working within Research, Analysis, Development, Methodologies, and Testing. Strong experience with Mathematics and/or Statistics background Proven track record working as a Senior Quantitative Developer. Experienced in in using development skills with C++, C#, Python . Experienced in Testing Methodology. IND_PC3 Carbon60, Lorien & SRG More ❯

and office works 7. Stakeholder & Regulator Engagement * Act as the primary contact for external audits, enforcement authorities (e.g., HSE), and occupational health partners * Prepare and present detailed safety reports, statistics, and KPIs to senior leadership and relevant committees * Support environmental initiatives, especially where H&S overlaps with ISO 14001 or ISO 50001 requirements 8. Continuous Improvement * Stay up to date 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 ❯

provides employees with performance insights (e.g., punctuality, recognition, and feedback) through gamified ranking and scoring. Currently, the scoring system lacks transparency, and we want to improve it with more statistics, better visualisation, and meaningful insights. You will work closely with both technical and non-technical team members to evaluate existing functionality, identify areas for improvement, and implement data-driven enhancements. … Responsibilities: Work with the existing development team to understand the current app and its components. Enhance the app's features with additional statistics, visualisation, and gamification elements . Build and optimise data pipelines for pulling and processing data from Teradata/SQL into AWS S3 buckets . Perform SQL data manipulation, transformation, and processing to support analytics and app features. More ❯