24 of 24 Statistical Analysis Jobs in the South East

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 ❯

Key Responsibilities: Analyse datasets to identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. Collaborate with technical and non-technical teams to translate data into impact. Stay up to … date with best practices in data science and analytics. Skills & Qualifications: Degree educated with a 2:1 or above. Strong programming skills in Python and R. Solid understanding of statistical analysis and quantitative methods. Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.). Strong analytical mindset and attention to detail. Ability to present findings clearly to 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 ❯

analyses using advanced BI tools (e.g., SQL, Power BI, Qlik Sense, R) to inform clinical and operational decision-making.oGuide the team in applying advanced technical expertise in data manipulation, statistical analysis, and forecasting to provide actionable insights.oTake a proactive approach to identifying patterns, trends, and signals in data sets, translating them into meaningful information that supports Trust initiatives … clearly and effectively to a variety of stakeholders, including those with varying levels of data literacy.oDrive continuous improvement within the team by identifying and implementing best practices in data analysis, reporting, and business intelligence. About us Diversity makes us interesting... Inclusion is what will make us outstanding. Inequality exists and the journey to eliminate it is not easy. Every … and deliver value for money. Identify opportunities for cost savings and income generation through effective data management and business intelligence activities. Maintain extensive knowledge of systems, methodologies, techniques and statistical methods for undertaking complex analysis of a variety of complex and conflicting data.Present complex analysis to a variety of internal and external staff where there are barriers More ❯

Key Responsibilities Conduct product analytics and user behavior analysis to drive data-backed decisions. Develop and maintain dashboards, reports, and data visualizations using Qlik Sense, Tableau, or similar tools. Apply AI/ML models to analyze trends, optimize product performance, and drive automation. Define and track product success metrics, KPIs, and A/B testing experiments. Leverage statistical analysis and predictive modeling to identify patterns and trends. Provide business intelligence insights that impact product growth, customer engagement, and retention. Collaborate with Product Managers, Data Scientists, and Business Leaders to deliver actionable insights. Ensure data integrity, consistency, and governance across reporting and analysis efforts. Stay up to date with emerging AI/ML trends and analytics … best practices. Required Skills & Qualifications 5-8+ years of experience in data analysis, product analytics, and AI/ML-driven insights. Strong SQL skills for querying and analyzing large datasets (Presto SQL, BigQuery, etc. Proficiency in BI tools such as Qlik Sense, Tableau, Amplitude, or Data Studio. Python experience for statistical modeling and AI/ML-driven More ❯

pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying … as Hadoop and or working in Snowflake/Databricks. Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics. Able to connect, integrate and synthesize analysis and data into a meaningful so what to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they More ❯

architecture, updating pay ranges, and leading annual pay review processes from creative modelling through smooth implementation. Design, develop, and deliver regular workforce analytics and reward reports using advanced data analysis techniques such as scenario modelling and statistical analysis to drive real impact. Safeguard the accuracy, integrity, privacy, and security of all HR data by ensuring robust system 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 ❯

Data Centre boom we are currently experiencing. Your role is as key to supporting the General Manager, which enable strategic business decisions. Youll be providing market research and data analysis, gathering and interpreting data on market trends, consumer behaviour, competitor activity, and economic conditions to generate actionable insights These insights help guide product development, marketing strategies, and overall business … background We are keen to find someone who has. Excellent written and verbal communication skills for presenting complex data in accessible terms Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset. Bachelors degree in business, economics, statistics, marketing, or a related field. Right to 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 ❯

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 ❯

brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace. Work Experience Qualification Musts: Experience in data science methods, including statistical analysis , machine learning , and data visualization . Experience identifying and resolving operational or data-related issues using documented procedures and prior case studies. Experience making small-scale system … Qualifications Preferred: Applied Machine Learning experience (regression, classification, supervised, and unsupervised learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming). Software development expertise in Python and JavaScript , with experience using Git or other version control systems 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 ❯

Responsibilities include: Conduct independent research in audio and speech processing, including signal processing, machine learning, and deep learning. Design, develop, and implement algorithms and systems for audio/speech analysis, enhancement, separation, and understanding. Lead development of software prototypes and experimental systems with high-quality, maintainable code. Collect, analyse, and prepare datasets for model training and evaluation. Evaluate algorithms … and systems through rigorous experimentation and statistical analysis. Collaborate with researchers and engineers to integrate research outputs into products and services. Contribute to publications and dissemination of research results in top-tier conferences and journals. Key skills & experience: PhD in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, or a related discipline. Strong programming skills in Python; experience in … Strong analytical and problem-solving skills; ability to design and execute rigorous experiments. Excellent communication and teamwork skills. Desirable skills: Experience in audio signal processing (e.G., Filter design, spectral analysis). Experience with speech recognition, TTS, speech enhancement, or NLP. Experience with generative AI in audio/speech contexts. Familiarity with version control (Git), software development best practices, cloud 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 ❯