21 of 21 Statistical Analysis Jobs in the South East

generation through to evidence-based recommendations. Evaluate diverse structured and unstructured datasets to identify commercial opportunities. Establish and maintain high standards for data evaluation, statistical analysis, and technical excellence. Improve processes to increase the speed and accuracy of data source assessments. Partner with data acquisition teams to support … automation to enhance research quality and efficiency. Your Skills & Experience Strong commercial experience leading data science, data research, analytics, or statistical research teams. Deep expertise in statistical analysis, data modelling, and working with complex real-world datasets. Advanced Python and SQL skills with the ability to review ...

scientific data into software the rest of the business can rely on? We're looking for an experienced Engineering Manager to lead our Data Analysis team - so named for what the product delivers to customers, though the team itself is a software and algorithm engineering team - building the applications … salary review and the opportunity to work on genuinely innovative semiconductor technology About the role You’ll lead the team that builds our image‐analysis application: consolidating multiple data streams from the microscope, flattening and correcting scan images, recognising scanned features and measuring their height, and running statistical ...

sources. Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products. Design and oversee statistical analysis, modelling, and time series research to validate potential data assets. Work closely with stakeholders across data, partnerships, and technology teams to develop … efficiency and quality. Your Skills & Experience Strong commercial experience in data science, statistics, quantitative research, or a related field. Python skills, with experience applying statistical analysis and time series techniques to complex datasets. Strong understanding of data quality assessment, feature engineering, and modelling. Strong communication skills with ...

input Define Critical Process Parameters (CPPs) and Critical Quality Attributes (CQAs) Develop, optimise and control coating, surface preparation and chemical treatment processes Use DoE, statistical analysis and structured problem-solving to improve process capability, yield, throughput, cost and consistency Establish and monitor process KPIs and drive continuous improvement … Investigate production issues, process variation and yield loss using root cause analysis Collaborate with R&D, Manufacturing, Quality, Supply Chain, Operations and external suppliers/technology partners Essential Experience Degree in Chemical Engineering, Materials/Surface Science, Chemistry, Physics or a related discipline Significant process engineering experience ...

subscription analytics. Advanced SQL skills with experience working in cloud-based data warehouse environments. Experience creating data models and transforming raw event data into analysis-ready datasets. Strong dashboarding and reporting experience using BI tools such as Looker Studio or similar platforms. Knowledge of statistical analysis techniques … including cohort analysis, experimentation, regression, survival analysis, and predictive modelling. Experience developing LTV, retention, or churn analysis frameworks. Excellent problem-solving skills and attention to detail. Ability to communicate complex insights and influence stakeholders across multiple business functions. Experience with Python or R would be beneficial. Exposure ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse large … complex datasets to identify trends, patterns and opportunities. Use Python and SQL to extract, manipulate and analyse data. Perform exploratory data analysis and feature engineering. Build predictive models and evaluate their performance. Work closely with Data Engineers to ensure reliable and scalable data pipelines. Translate technical findings into clear ...

quite flexible as a team and meet in person as needed for meetings and team collaboration. We are passionate about delivering high-quality analysis and insight, using data and evidence to support decision-making, reduce health inequalities and improve the health and wellbeing of Surrey's residents. Our Offer … order to be considered for shortlisting, your application will clearly evidence the following skills, experience and align with our behaviours: Experience of using statistical and epidemiological methods for analysing data sets Experience of working with multiple sets of health-related data Experience of using analytics as evidence within assessments ...

This is an ideal role for someone early in their career who is eager to develop their skills in infectious disease genomics, microbial sequence analysis and reproducible computational biology, while seeing their work contribute to products with real-world clinical impact. The role will involve working with a range … metagenomic data. You will work closely with wet lab scientists to apply analytical approaches such as microbial profiling, taxonomic classification, and antimicrobial resistance analysis to experimental data and interpret the results. We are particularly interested in candidates who have practical exposure to metagenomic methods and are keen to deepen ...

recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical … improvement of analytical solutions. What You Will Learn Throughout the apprenticeship, you will gain experience and knowledge in: Data collection, preparation, and management techniques. Statistical methods and hypothesis testing. Programming languages such as Python and SQL. Machine learning concepts and model development. Data visualisation and storytelling techniques. Exploratory ...

experience working with large datasets. Experience with BI and data visualisation tools. Strong knowledge of customer lifecycle, retention, LTV or churn analysis. Understanding of statistical analysis, experimentation and predictive modelling. Strong communication skills with the ability to turn analysis into actionable recommendations. Python or R and digital ...

business performance and customer strategy. Responsibilities include: Analysing customer and business data to identify trends, opportunities and actionable insights Delivering post-campaign and performance analysis to support decision-making Developing customer profiles and audience insights Supporting testing and measurement initiatives to evaluate business and marketing performance Creating reports, dashboards … findings and insights to both technical and non-technical stakeholders Your Skills & Experience Strong SQL and/or Python skills for data extraction and analysis Experience working with customer, product, marketing, sales or business datasets Ability to query data from cloud-based environments such as AWS, Azure ...

development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Generative AI & Applied Research Apply and adapt state … e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale ...

recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical ...

work confidently with large, complex datasets. Experience with modern cloud data platforms such as BigQuery, Snowflake, Redshift, or similar. Strong understanding of experimentation, statistical analysis, performance measurement, and KPI development. Experience with data visualisation tools such as Tableau, Looker, or Power BI. Ability to communicate complex analytical findings … senior and executive stakeholders. Commercial mindset with a track record of using data to influence business outcomes. Python experience for analysis or automation would be advantageous. ...

banking, payments, e-commerce, or a similar fraud-focused environment. Strong Python and SQL skills are essential. Experience developing fraud models or applying advanced statistical analysis to fraud prevention challenges. Understanding of fraud detection, fraud scoring, identity verification, or fraud strategy frameworks. Ability to measure, communicate, and demonstrate ...

learning models and data pipelines. Experimenting with innovative approaches to translate complex business challenges into actionable data science solutions. Evaluating model performance through rigorous statistical analysis and assessing business impact. Collaborating closely with Machine Learning Engineers and Software Engineers to ensure seamless integration and adherence to best coding ...

Electrical & Electronic Engineering , or equivalent. Great if you also have Experience with data pipelines, databases, AI/machine learning, AWS, Azure, Grafana, Node-RED, statistical analysis, Digital Twins or Lean Six Sigma would be an advantage. Why Thales? This is an opportunity to combine IoT, software and advanced ...

robust performance measurement. Your Skills & Experience Strong experience leading analytics, data or insight functions. Advanced SQL and cloud data platform experience. Expertise in experimentation, statistical analysis and performance measurement. Ability to influence senior stakeholders and translate analytics into commercial outcomes. Experience with tools such as BigQuery, dbt, Airflow ...

data opportunities and develop robust analytical approaches. Ideal background: Data discovery/alternative data Dataset evaluation and validation Python and strong analytical skills Statistical analysis and hypothesis testing Experience turning messy data into useful insights Strong commercial and stakeholder management skills This is a research and analytical leadership ...

happened, why it matters and what we should do about it. If you love solving problems with data, understand customers and can turn complex analysis into a story that gets people to act, this could be for you. WHAT YOU’LL SPEND YOUR TIME DOING WHAT YOU’LL SPEND … opportunities. Measure how our Loyalty programme is performing and identify opportunities to improve engagement, retention and customer value. Build customer segmentation and behavioural analysis to support more relevant, personalised experiences. Understand customer acquisition, frequency, spend, retention and lifetime value. Evaluate campaigns, promotions and loyalty activity to understand what ...

production data to monitor product CTQs using control chart statistics and SPC to ensure established processes are operating within agreed/acceptable limits; statistical analysis of production data to identify and implement opportunities for improvement; support the Lead and Senior Engineers and senior management in identifying the need ...