251 to 275 of 515 Statistical Analysis Jobs in the UK

in digital advertising measurement (agency, platform, or brand side) 🔹 Strong understanding of ad effectiveness methodologies (reach, frequency, brand lift, sales lift) 🔹 Proficiency in R, SQL, or Python for data analysis 🔹 Expertise in statistical analysis and campaign study design 🔹 Excellent project management skills and attention to detail 🔹 Strong communication skills and experience working with EMEA markets 🔹 Prior experience More ❯

product, by utilising both internal and external data and intelligence. In this role, you will contribute to the development and delivery of data, as well as the creation and analysis of Management Information (MI). Your work will inform strategic decision-making and support the implementation and optimisation of cutting-edge counter-fraud controls and underwriting risk management across … to internal and industry protocols. Collaborate with Underwriting, Fraud Investigators, Claims, and Pricing teams to achieve key objectives. Qualifications Creative problem-solving skills using data. Proven ability to perform statistical analysis, either through education or work experience. Ability to clearly communicate complex issues. Competence in conducting analysis and presenting findings to non-technical colleagues. Self-motivated and … and new initiatives within a small team environment. Good knowledge of programming skills (Python/SQL knowledge desirable) Knowledge of the insurance industry and experience in data or pricing analysis (Desirable). We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access More ❯

Experience in autonomous work across various levels, from global to local teams, in a fast-paced environment is highly preferred. Key Responsibilities Handle large, complex data solutions, conduct strategic analysis, generate insights, and drive initiatives to improve seller experience and accelerate business growth. Establish effective mechanisms to collaborate with sellers and business teams, identify problems, influence leadership, and implement … with data visualization tools (e.g., AWS QuickSight, Tableau) or open-source projects. At least 3 years of experience analyzing and interpreting data using Redshift, Oracle, NoSQL, etc. Proficiency with statistical analysis packages (R, SAS, Matlab). SQL scripting and Python data processing experience. MBA or Master's degree in a related field. Experience in data mining, ETL, and More ❯

must be flexible and able to wear multiple hats while working closely with our cross-functional teams and prioritizing the needs of the team. Key Responsibilities Responsible for business analysis of TikTok monetization products. Evaluate business health, identify potential risks and major business opportunities from a regional perspective, using statistical analysis, quantitative attribution and other methods. Participate … and help capture the right level of data early on to drive product adoption. Collaborate with PM, PMM, sales, strategy team and other roles to deliver business and product analysis with clear conclusions and implementation plans, provide decision-making references for leaders and achieve data-driven business growth. Provide high-information-density business data insights for leaders and analytical More ❯

models (LLMs), ensuring coherence, accuracy, and logical consistency. Collaborate with quant researchers and engineers to improve the performance, accuracy, and reliability of AI-driven models. Conduct descriptive and exploratory analysis to uncover patterns, trends, and potential applications across a wide range of datasets. Maintain robust and scalable data infra to support real-time and batch processing workflows. Provide domain … Data Science or Quantitative roles within finance. Proficiency in Python and SQL with exp. in data processing libraries such as pandas/numpy. Experience with machine learning frameworks and statistical analysis tools. Familiarity with financial data sources, APIs, and data modelling techniques. Ability to design, implement, and maintain scalable data pipelines and workflows. Excellent problem-solving skills and More ❯

strong background in the following areas and the ability to flexibly apply and combine them on a daily basis: practical electronics test and measurement, experimental design, statistics and data analysis, analogue and mixed-signal circuit operation principles, and CMOS device physics and process. No background in quantum physics is required. Our Team Since 2021 our team has been listed … full product test lifecycle: pre-silicon test planning; bring-up and optimisation; inter-die variability studies; and product support (where required) High-quality documentation of experimental design, measurement data, analysis, and conclusions at each step Develop efficient and automated measurement and analysis routines to provide rapid and standardised feedback on new ICdesigns, driving faster design iteration Characterise and … and written communication skills Experience - Desirable High-frequency device characterization experience (RF and/or noise) Experience in automated digital circuit test engineering Prior experience with cryogenic electronics Advanced statistical analysis expertise Knowledge of SOI processes and fabrication technologies Expertise on CMOS process variation trends Familiarity with machine learning techniques and libraries Quantum physics background Benefits Be part More ❯

Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and … minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and More ❯

Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and … minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and More ❯

culture of innovation and an AI-first mindset, promoting collaboration and excellence Present to Senior Leadership on biggest AI opportunities and progress of the special AI programs Conduct thorough analysis of quantitative and qualitative data available to produce clear, actionable insights and recommendations for the business Collaborate with in business Analytics and Technology teams for the end-to-end … capabilities, and skills Experience or understanding of Financial Services Experience in a highly quantitative role, ideally as a data scientist at a growth or research organization Deep expertise in statistical analysis, experimental design, and causal inference Proficiency in Python, orchestration frameworks, SQL and other analytical tools #J-18808-Ljbffr More ❯

models (LLMs), ensuring coherence, accuracy, and logical consistency. Collaborate with quant researchers and engineers to improve the performance, accuracy, and reliability of AI-driven models. Conduct descriptive and exploratory analysis to uncover patterns, trends, and potential applications across a wide range of datasets. Maintain robust and scalable data infra to support real-time and batch processing workflows. Provide domain … Data Science or Quantitative roles within finance. Proficiency in Python and SQL with exp. in data processing libraries such as pandas/numpy. Experience with machine learning frameworks and statistical analysis tools. Familiarity with financial data sources, APIs, and data modelling techniques. Ability to design, implement, and maintain scalable data pipelines and workflows. Excellent problem-solving skills and More ❯

related field Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV More ❯

related field Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV More ❯

optimize performance and consolidate the workflow across asset classes. Extending existing test suites, including unit, regression, and integration tests. Performance and memory profiling. Assisting in the execution of impact analysis testing runs. Identifying and developing calculation optimization improvements Working on documentation. Working with Front Office teams to integrate quant library/technology enhancements into the codebase. Utilizing in-depth … of Rates, Credit, Equities, Commodities, FX derivatives. Experience working on Regulatory based projects such as Model Risk, Basel, Stress Testing, FRTB, CCAR is an advantage. Solid mathematical finance and statistical analysis skills. Familiarity with Numerical analysis/Monte-Carlo methods. Knowledge of probability and stochastic calculus. Education: Master’s degree or equivalent in computer science, mathematics, engineering More ❯

weight saving strategies and maintain the list of weight risk and opportunities for each discipline area Interrogate CAD models to determine estimates for mass properties with associated uncertainties Utilise statistical analysis to provide a whole boat picture of weight risk and opportunity to senior leaders, stakeholders and our customers Your skills and experiences: Essential Qualified in STEM subject … of a team IT literate in Microsoft packages, experienced knowledge in Excel Ability to understand and interpret engineering data Desirable Experience working with large, Electrical or Mechanical systems Data analysis experience including interpretation, visualisation, manipulation and presentation Experience of using CAD packages and programmes CEng/IEng status or a clear pathway to achieving professional recognition Benefits: You’ll More ❯

hybrid Senior Technical Pricing Analyst: An opportunity has arisen to join Ageas’s Underwriting department in the Technical Pricing team. Technical Pricing are responsible for the production of specialist statistical risk models for our insurance products including Private Car, Van, Bike and Household. While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full … as Senior Technical Pricing Analyst: Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing. Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems. Producing reports, documentation, and presentations to communicate statistical models and results to key … for this role. Excellent analytical skills with the ability to manipulate and interpret data. The job holder should be able to identify, investigate and interpret the results of an analysis, considering past the more obvious first order effects. A high level of problem solving is required, both logically and laterally, along with an ability to engage in research. At More ❯

scalable solutions that ensure optimal performance and availability of thousands of workcells across Amazon's global fulfillment center network. Key job responsibilities Primary responsibilities: - Utilize data analytics, root cause analysis, design of experiments and six sigma methods to improve reliability and availability of critical automation equipment and robotics & mechatronics systems. - - Develop and deliver impactful data-driven analyses, based on … and leaders within RME to deliver structured problem solving. - Design, pilot and implement new preventative maintenance standards, interval adjustments, part replacement cycles, and work instruction streamlining based on granular analysis of reliability (MTBF, MTTR, OEE, etc.) trends across assets. - Develop automated reporting through advanced SQL and Quicksight to provide RME leadership with actionable insights, trends and analysis around … in robotics and mechatronics. - Lean Six Sigma experience required. Demonstrated success leading Kaizen events - Experience coding in Python, SQL, or R for purposes of data extraction, organization, visualization and statistical analysis. PREFERRED QUALIFICATIONS - Experience in Robotics and Mechatronics maintenance. - Technical understanding of: robotics system components/controls, HMI components, control network components, motion control, and standard electrical components - Understanding More ❯

Senior Data Scientist We're looking for an exceptional Senior Data Scientist with AI expertise to join our Analysis team and help shape the intelligent backbone of our 3D design and GIS product ecosystem. You'll play a key role in developing machine learning models, predictive systems, and AI-driven analytics that power and enhance our data pipeline infrastructure … capabilities. We present an opportunity to contribute to novel research into developing spatial intelligence models, as well as the practical application of existing cutting edge techniques. Work within the Analysis Team to develop and deploy ML (including LLM) models that enhance our 3D design/GIS platforms and internal tooling. Collaborate with cross-functional teams including Product, Engineering, and … Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem (SageMaker, Lambda, etc.). Strong understanding of data structures, algorithms, and statistical analysis. Experience working with ETL pipelines and structured/unstructured data. Solid grasp of software engineering principles, version control systems (Git), and Agile methodologies. Ability to break down complex More ❯

to inform future experimental directions. Work within cross-functional ML Research, Chemistry, Engineering and Biology Teams, to direct research hypotheses and deliver outstanding research. Use your experience to undertake analysis of diverse computational biology datasets, including genetics, genomics, single-cell and bulk transcriptomics, proteomics, functional perturbation screens, imaging, knowledge graphs, PPI, clinical or other data types. Work in partnership … other groups to influence Iso’s datasets and pipelines strategy, to ensure innovative insights from these data are consistently brought to bear within drug development programmes. Perform thorough data analysis and data quality assurance checks, with a strong focus on accuracy and reproducibility, inline with industry standard processes. Work with other members of the Computational Biology team to deliver … research experience (i.e. postdoctoral or industry experience), or equivalent experience Track record of delivery of outstanding research using deep learning techniques, including designing new ML architectures, hands-on experimentation, analysis, and visualisation Strong knowledge of linear algebra, calculus, probability, and statistics Demonstrated ability to write clean, idiomatic, and highly performant Python code Experience using ML frameworks such as JAX More ❯

advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers. Key job responsibilities As a Machine Learning Applied Scientist, you will: Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities Develop scalable and effective machine-learning models and optimization strategies to solve business problems Run regular A …/B experiments, gather data, and perform statistical analysis Work closely with software engineers to deliver end-to-end solutions into production Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products business BASIC QUALIFICATIONS - 3+ years of More ❯

culture of innovation and an AI-first mindset, promoting collaboration and excellence Present to Senior Leadership on biggest AI opportunities and progress of the special AI programs Conduct thorough analysis of quantitative and qualitative data available to produce clear, actionable insights and recommendations for the business Collaborate with in business Analytics and Technology teams for the end-to-end … Capabilities, And Skills Experience or understanding of Financial Services Experience in a highly quantitative role, ideally as a data scientist at a growth or research organization Deep expertise in statistical analysis, experimental design, and causal inference Proficiency in Python, orchestration frameworks, SQL and other analytical tools About Us J.P. Morgan is a global leader in financial services, providing More ❯

for collaboration with cross-functional teams Ability to manage time effectively and meet deadlines in a fast-paced environment Experience with data preprocessing and feature engineering techniques Familiarity with statistical analysis and data visualization tools Willingness to learn and adapt to new technologies Key behaviours Strong analytical and problem-solving skills Adaptability to rapidly changing environments Proactive and More ❯

request quality control inbound checks at relevant warehouses or TPM. Ensure relevant inspection checklists are issued and available on time. Lead the non-conformance process and drive root cause analysis and CAPA implementation internally and with external suppliers within relevant timelines. Ensure regular follow-ups are in place and drive continuous improvements. Keep accurate documentation and perform statistical analysis of KPIs, including customer complaints data. Monitor suppliers' compliance to quality requirements and provide regular feedback as part of the performance review process, actively cooperating with internal purchasing and supply teams. Perform quality audits (as per ISO 22716 and/or ISO9001) to TPMs and packaging suppliers and be responsible for the closure and regular update of More ❯

such as a CFA charter holder or CAIA Experience in customer service or client relationship management Experience working with international business groups and clients Knowledge in information technology and statistical analysis or computer programming for example Excel, SQL, and/or Python Does this sound like you? Apply if you think we're a good match. We'll More ❯

business problems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Build and maintain production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for More ❯

Develop and implement a data strategy to standardise processes, ensuring high-quality and efficient data management across projects. Provide technical leadership in survey programming, data processing, data management, and statistical analysis. Oversee data security, governance, and compliance, ensuring best practices in handling sensitive survey data. Collaborate with senior leadership to align data strategies with business objectives and contribute to More ❯