26 to 50 of 97 Statistical Analysis Jobs in the UK excluding London

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 ...

accurate, reliable and ready for analysis. Exploring data to identify patterns, trends, outliers and opportunities that can support stronger commercial and operational decisions. Applying statistical and machine learning techniques to build predictive and prescriptive models, test hypotheses and solve real business problems. Using Python, PySpark and SQL to analyse … understand business needs and translate them into data-led solutions. Presenting actionable insights and recommendations to technical and non-technical stakeholders, helping teams turn analysis into commercial value. Exploring cutting-edge AI methodologies responsibly and identifying opportunities to improve processes, products and decision-making. Contributing to timely project delivery ...

food & beverage industries across the world. We build innovative solutions to support our clients in making transformative business choices by combining forecasting methods, statistical models, GIS, and web tools to create bespoke solutions. We are constantly pushing boundaries to do things better. We have fun and value every member … Strong coding skills in Python, R, Scala, C, Java, or JS Proven track record of using data manipulation and machine learning libraries Practical modelling & statistical analysis experience, ideally customer-related Strong communication skills with proven ability to collaborate with remote global teams Evidence of high attention to detail ...

Join a new small team at MBDA Bolton and become an expert in the field of Flying Probe Manufacturing Data Analysis, developing your skills and shaping the future of circuit card manufacturing in MBDA UK. Salary: Circa £45,000 depending on experience Dynamic (hybrid) working: 4-5 days … follow a well‐documented development process, starting from an initial circuit card data‐pack, through the import to Flying Probe, debugging of tests and statistical data analysis of results. This concludes with a reliable and robust test package that can be deployed to the manufacturing operations team ...

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 ...

lifecycle – from sourcing and cleaning datasets to uncovering patterns and presenting insights through clear, compelling visuals. This involves building reports in Power BI, conducting statistical analysis, or creating dashboards that highlight what’s working and where we can improve. You’ll gain in-depth knowledge of our enterprise … skills in data visualisation, cloud platforms, agile ways of working, and ethical AI. Depending on your placement, you may also explore areas like Business Analysis and Project Management, as well as using Python to build analytical models that analyse enterprise data and draw meaningful conclusions. There may also ...

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 ...

experimental data into meaningful insights, visualisations and scalable analytical workflows. The Data Scientist will: Develop tools and workflows to automate the extraction, processing and analysis of experimental data. Build and maintain data pipelines, databases and analytical frameworks. Generate meaningful features, visualisations and reports from complex datasets. Apply statistical analysis and machine learning techniques to support product development decisions. Present insights to both technical and non-technical stakeholders. Develop scripts, tools and automation solutions to improve business efficiency. Identify opportunities to enhance existing data methodologies and accelerate development cycles. The Data Scientist will have: A degree ...

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 ...

machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams ...

public services. Knowledge of statutory children’s data returns (such as CIN, CLA or SSDA903). Experience using Python or R for automation, statistical analysis or forecasting. Experience working with data warehouses and semantic models. Knowledge of Mosaic or similar social care case management systems. Experience of DevOps ...

product data into meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse manufacturing, quality and product performance data to identify trends … improvement opportunities. Develop analytical models, dashboards and reporting tools. Apply statistical and machine learning techniques to support engineering decisions. Define data and reporting requirements with engineering and digital teams. Support simulation and modelling activities using real-world data. Present findings and recommendations to technical and non-technical stakeholders. ...

relationship-building skills.* Highly organized, proactive, and able to work independently.**Assets*** Experience with Google Looker or other analytics/reporting tools.* Knowledge of statistical analysis techniques.* Familiarity with operations data in Order Management, Supply Management, Product Line Management, Inventory, or Services domains.* Proficiency with MS Office, particularly … Excel and Outlook.* Demonstrated performance in: + Analysis and problem-solving + Change management and adaptability + Customer focus and initiative + Effective organization and prioritization#LI-SG1Join our to get relevant job alerts straight to your inbox. At Ciena, we are committed to building and fostering an environment ...

will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 09/09/2026 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 10/06/2026 The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

actively encouraged. The Role You will be responsible for: Collecting, cleaning, and preparing data from multiple sources to ensure quality and accuracy. Applying statistical analysis and machine learning techniques to solve business challenges. Building, deploying, and maintaining predictive models that deliver tangible value. Developing and enhancing … Strong commercial experience delivering data science solutions. Excellent Python or R programming skills. Strong SQL capabilities for data extraction and analysis. Experience with forecasting, statistical modelling, and machine learning techniques. Knowledge of the full data science lifecycle from model development through to deployment and monitoring. Experience working with cloud ...

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. ...

tech industries (3-4 years). Good analytical & problem-solving skills and excellent attention to detail. Understanding and experience of data science techniques covering statistical analysis, A/B testing, time-series, regression, classification and optimisation problems. Proficient in SQL & Python. Familiarity with data manipulation libraries (e.g. PySpark ...

will help redefine what it means. We are seeking a proactive individual with a strong understanding of Production Management, Risk Management, and Data Analysis, eager to apply their expertise within the complex and highly regulated environment of the banking sector. Your contributions will be instrumental in ensuring the resilience … vital systems. Responsibilities: Define, govern, and oversee the strategic reporting framework for monthly stability metrics across diverse business units, leveraging advanced data analysis and visualization to translate complex, multi-dimensional datasets into high-impact, executive-ready insights, and then presenting to senior leadership. Quantitative KPI & SLO modelling to architect ...

East’s emerging semiconductor cluster. They are now searching for a Manufacturing Engineer to provide manufacturing/industrial engineering expertise, using capacity modelling, data analysis and continuous improvement techniques to optimiseWIP flow, cycle time, equipment utilisation, throughput and delivery performance. Key Responsibilities Maintain and improve the fab capacity model … business demand Work with Engineering, Operations, Automation and Tool Owners to assess the impact of process and equipment changes Conduct time studies and data analysis to evaluate process and throughput improvements Support the introduction of new processes, methods and production flows Estimate manufacturing costs, establish time standards and recommend ...

range of data and analytics projects, including: Building and maintaining dashboards and regular business reporting Using SQL to query and analyse large datasets Presenting analysis in a clear and accessible way to both technical and non-technical audiences Analysing customer behaviour across the company's digital products Measuring … unusual behaviour and opportunities within the data Helping establish consistent KPIs and reporting across the organisation Supporting product and commercial teams with ad-hoc analysis Developing your knowledge of web analytics and Google Analytics Over time, exploring more sophisticated statistical modelling and other ways of extracting value from ...

resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals … help the team prioritise where to invest. Design and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes. Use statistical modelling and causal inference where controlled experiments are not practical. Shape the automation strategy Determine the right intervention for different customer problems whether they should ...

related technologies Analyze logs, traces, telemetry, and hardware data to isolate and characterize system failures and performance issues Develop structured debug methodologies and failure analysis processes to improve issue resolution efficiency Collaborate closely with architecture, RTL, firmware, software, and systems engineering teams to determine root causes and implement corrective … languages such as CMM Strong Linux and Python experience Deep knowledge of scan, DFT, JTAG, and trace infrastructure Strong debug skills including fault tree analysis, failure isolation, fishbone methodologies, and system‐level debug techniques Outstanding communication skills and ability to collaborate effectively to solve complex problems Excellent problem‐solving ...