22 of 22 Statistical Analysis Jobs in London

Job Description: AI Task Evaluation & Statistical Analysis Specialist Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). … Key Responsibilities Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories Reporting & Visualization: Create dashboards and … reports highlighting failure clusters, edge cases, and improvement opportunities Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings Stakeholder Communication: Present insights to data labeling experts and technical teams Required Qualifications Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition Programming: Proficiency in Python (pandas, scipy More ❯

and prescriptions for maintenance Implement prognostic algorithms with different proprietary technologies and coding languages such a Pyspark , Python, PowerBI Analyse diagnostics and maintenance data Monitor prognostic system performances and statistical analysis on collected data to identify critical trends and conditions. Support prognostic algorithm verification and validation. This will include simulations with TCMS simulator and historical diagnostic data, analysis … SVN, Git) Familiar with PowerBI dashboard development. Able to interpret electrical drawings, system specification software specification (e.g., UML) and mechanical drawings Experience in prediction/CBM algorithms. Experience in statistical analysis including quality control, multiple linear regression models, logistic regression, discriminant analysis, re-sampling techniques. Experience in big data analysis techniques both unsupervised and supervised machine More ❯

great work culture and environment Working with stakeholders across various teams Delivering insights on customers including demographic, LTV and engagement Regularly conducting a/b tests and other experiments Analysis incl. statistical analysis with tools such as Python/R desirable Development of some reports/dashboards in Tableau YOUR SKILLS AND EXPERIENCE The successful Product Data More ❯

Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from large, diverse datasets. Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure More ❯

domains. Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau). Experience More ❯

Data Scientist - Remote (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many … responsible for analysing large datasets to extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross-functional teams to implement data-driven decision making. We are seeking a Data Scientist with experience of Python and Jupyter notebooks with the … implications, full ETL pipeline experience and full data lifecycle management knowledge. Essential skills include Jupyter notebooks and Python, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in Statistics and Data Analytics. Knowledge of Azure Data Factory, Cosmos DB, PostgreSQL, QGIS/PostGIS and C#.NET is highly desirable, as is any experience in the More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work More ❯

activity, and emerging trends across the property landscape. Analyse business performance against KPIs, identifying trends, risks, and opportunities. Contribute to business strategy through data-informed recommendations. Support ad-hoc analysis requests and provide deep dives into specific business questions. About You: 5+ years' experience in research and data analytics Strong analytical mindset with excellent data interpretation and storytelling skills. … understanding of statistics. Advanced Excel/Google Sheets skills (pivot tables, macros, advanced formulas). Ability to translate complex data into clear recommendations with excellent communication skills. Knowledge of statistical analysis or Python/R (desirable but not essential) Experience in market analysis, business insights, or PR analytics preferred. Comfortable working in a fast-paced, data-centric More ❯

making across the organisation by analysing complex datasets, identifying trends, providing accurate information, and maximising efficiencies in existing sets of reports Collecting, cleaning, and validating large datasets and performing statistical analysis to supporting underwriting and claims Developing dashboards and reports using tools like SAP Business Objects and Power BI Collaborating with actuaries, underwriting, claims, and IT teams to … understand data needs Supporting regulatory reporting and compliance through accurate data analysis Identifying opportunities for process automation and efficiency improvements Experience and skills required: Data analysis experience Preferably a degree in the following subjects: Mathematics, Statistics, Actuarial Science, or related field Advanced Excel skills SQL experience Knowledge of BI tools, e.g. Power BI, SAP Business Objects, would be … advantageous The ability to present complex data in a clear and concise manner An understanding of statistical methods *Our client is committed to diversity in all of its forms and operates an inclusive recruitment process*. More ❯

with the Head of Analytics to deliver actionable insights across the network of charging points Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth Build statistical models for segmentation, regression, predictive modelling, and forecasting Support pricing and revenue optimisation initiatives, including dynamic pricing strategies Query and process large datasets coming from multiple real-time sources … Translate complex analysis into clear recommendations for non-technical stakeholders What You'll Need: Strong SQL and Python skills; experience in AWS environments is a plus Solid statistical analysis background (segmentation, regression, forecasting) Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment Excellent communication skills and ability to take ownership of projects Experience delivering More ❯

to interpret data, shape propositions, and influence senior stakeholders. Experience working cross-functionally and/or in international environments. Excellent communication and presentation skills. Desirable: Experience with Python for statistical analysis. Background in A/B testing design and evaluation. Familiarity with customer lifetime value modelling and loyalty analytics frameworks. WHY APPLY? Play a leading role in shaping the More ❯

components and solutions into high-growth application areas across the human healthcare and applied market segments. Its high-quality product portfolio is comprised of mission-critical tools for genomic analysis and for quality assurance applications, which are typically embedded and recurring within our customers' products and workflows and are valued for their performance, quality, and range. Job Description The … understanding of data governance principles, data privacy regulations, and industry standards Superb communication and presentation skills, with the ability to influence C-level executives Expertise in machine learning algorithms, statistical analysis, and data modelling techniques Familiarity with cloud-based AI and data platforms (preferably AWS or Azure) Proven project management skills and experience leading multi-functional and matrix More ❯

developing and delivering exciting projects with a fantastic team of technology experts. Your primary focus will be designing, architecting, and deploying robust AI solutions and pipelines that enable advanced analysis and Generative AI capabilities, often in highly regulated environments. Either drawing on existing expertise, or with some development, you will be capable of advancing further to design complex, multi … data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days More ❯

building, refining, and maintaining a proprietary global wealth model -the foundation for one of the world's most respected research publications. You'll apply your expertise in econometrics and statistical analysis to bring data to life, identifying trends that influence major decisions in business, policy, and investment. You'll be part of a collaborative, forward-thinking analytics team … that help audiences make sense of an ever-changing world. What you'll be doing Lead the development and enhancement of a proprietary wealth sizing model. Conduct sophisticated econometric analysis using international datasets. Source, clean, and validate large, complex data from multiple countries. Turn analysis into clear insights through reports, dashboards, and visualisations. Collaborate with data scientists, engineers … and researchers to deliver impactful, data-driven projects. What we're looking for Strong background in econometrics, applied statistics, or quantitative economics. Solid experience in regression-based modelling and statistical distributions. Confidence working independently with minimal supervision. Skilled in identifying and sourcing data from global and national sources. Excellent communication skills with the ability to translate analysis into More ❯

tier financial institution. Strong understanding of data structures, algorithms, and memory optimisation techniques, with a proven track record of developing memory-efficient software solutions. Proficiency in quantitative mathematics and statistical analysis, with experience in implementing mathematical models and algorithms for trading and risk management. Experience with cryptocurrency markets, trading platforms, and blockchain technology is a plus but not More ❯

an internship role in 2026, with possibility to convert to full time after the internship. Have experience programming in Python, C/C++, Java and/or experience with statistical analysis, numerical programming, or machine learning in Python, Pandas, R. Are an ambitious entrepreneur with a track record of exceptional intellectual achievement. Are a self starter, comfortable taking More ❯

experimentation culture, using data to answer our biggest questions and guide the evolution of the Lyst experience. You will own the entire experimentation lifecycle, from ideation and design to analysis and strategic recommendations, ultimately influencing what millions of shoppers see every day. In this role you will: Champion Experimentation: You will be a key part of Lyst's A …/B testing framework across web and app. You will set the standard for excellence, continuously improving our practices and ensuring statistical rigour in everything we do. Drive Strategy: Go beyond individual tests to answer broad strategic questions. You'll partner with Product, Design, and Engineering leaders to identify key opportunities, conduct impact analysis, and help shape the … environment, working alongside Product Managers, Designers, and Engineers to build and iterate. Technically Fluent: Your toolkit is sharp. You would ideally possess: Strong proficiency in SQL and experience with statistical analysis using languages like Python or R. Familiarity with advanced techniques such as Bayesian methods and Causal Inference is helpful but not essential. Experience with advanced modelling concepts More ❯

for analysis. Supporting the development of dashboards and reports using tools like Power BI or Tableau. Helping extract and organize data from databases and other sources. Performing basic data analysis and quality checks under supervision. Assisting in preparing client deliverables such as reports, charts, and presentations. Learning and applying data transformation techniques (ETL) and basic statistical analysis. Supporting More ❯

Have extensive experience working within local government or council environments Are highly skilled in a wide range of research methods - from ethnography and diary studies to quantitative research and statistical analysis Can balance research rigour with practicality, understanding when to prioritise speed vs depth Have strong analytical skills and can extract meaningful insights from complex datasets Understand the More ❯

Role: SAS Admin ((Statistical Analysis System) Location: London, UK Mode: Hybrid Type: Contract Job Description: Key Responsibilities: Manage and maintain SAS platform environments, ensuring stability, performance, and security Develop and optimize SAS programs using SAS Enterprise Guide and advanced SAS coding techniques Collaborate with cross-functional teams to deliver data and analytics solutions Perform routine platform maintenance, upgrades More ❯

commerce, retail, or telco environments. Analytical skills to interpret data and strategic mindset to design propositions. Confident working cross-functionally and internationally, with excellent stakeholder management. Desirable: Python for statistical analysis. Experience designing and running A/B tests. Application Process: SQL test on Kaggle - 2 live-coding questions, interactive. Skills-based interview - 45 minutes (30 minutes questions … minutes candidate questions). Case study/data analysis presentation - face-to-face in the office. Find out more and apply via the link below. More ❯

methodologies. Conduct and participate in code and design reviews to uphold high-quality standards. Mentor and guide junior AI engineers, fostering a collaborative and growth-oriented environment. Drive the analysis and measurement of ad-hoc studies, measuring marketing effectiveness and providing actionable insights. Requirements Extensive experience with version control tools, preferably Git. Proficiency in Docker and container orchestration. Advanced … to collaborate effectively with cross-functional teams and manage project timelines. Exceptional problem-solving skills and meticulous attention to detail. Deep understanding of data science fundamentals and experience with statistical analysis. Demonstrated experience in leading and mentoring technical teams. Preferred Skills (Bonuses) Experience with cloud computing platforms (GCP) and their AI services. Familiarity with front-end technologies for AI More ❯