276 to 300 of 645 Statistical Analysis Jobs in the UK

monetisation Skills & Experience Required Technical Expertise: Expert-level proficiency in Google Analytics (GA4), Mixpanel, BigQuery, Redshift, and advanced Google Sheets functions Strong SQL skills for data extraction, manipulation, and analysis Experience with data visualisation tools (Tableau, Looker, or similar) Familiarity with statistical analysis and A/B testing methodologies SEO & Growth: Deep knowledge and hands-on experience … SEO analytics, including tools like SEMrush, Ahrefs, or Google Search Console Understanding of conversion rate optimisation (CRO) principles and testing frameworks Experience with attribution modelling and multi-touch attribution analysis Background & Soft Skills: University degree in Data Science, Computer Science, Engineering, Mathematics, Economics, or related quantitative field 5+ years of proven expertise in data analytics, preferably in a growth More ❯

ability to work effectively with cross-functional teams in a fast-paced environment are critical skills for this role. Key job responsibilities Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and … military experience 5+ years of SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g., Python) and advanced SQL skills Experience with theory and practice of information retrieval, data science More ❯

debt collection, debt purchase, reconnection, and litigation services. The Role Perch Group are looking for a decision scientist to design and optimize data-driven solutions that support machine learning, statistical analysis, and predictive modelling. You’ll work closely with a team of analysts and the investment team to create high-quality, scalable data models that fuel AI-driven … and iteratively improving models based on historic trends. The models will vary in design, but current models include XGboost, Random Forest and MCMC models. This role will also create analysis and provide support to the pricing team, to increase their automation and accuracy of analysis in the financial sector. You will use and encourage the use of ethical 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 IC designs, driving faster design iteration Characterise … 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 ❯

will utilize data-driven approaches, including complex systems, machine learning, natural language processing, and network theory, to make groundbreaking discoveries. We welcome applicants with strong backgrounds in Data Science, Statistical Physics, Machine Learning, Complex Systems, or related fields. Our priority is to attract researchers interested in developing new mathematical frameworks or innovative applications to understand human behavior and interactions … or related field. Proficiency in programming languages such as Python, R, SQL, Julia. Experience with software development tools and libraries (e.g., Pandas, scikit-learn, Spark, Git). Experience in Statistical Analysis, Machine Learning, Complex Systems, and Network Theory. Effective teamwork and interdisciplinary collaboration skills. Excellent scientific communication and presentation skills. Enthusiasm for interdisciplinary applied research. Fluency in English 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 ❯

team culture. YOUR NEXT CHALLENGE This role sits within the Marketing Effectiveness team at Medialab, helping clients understand the true value of their media investments through advanced measurement solutions, statistical modelling, and integrated insights. Reporting to the Head of Marketing Effectiveness, you will lead modelling workstreams, ensure quality control, and integrate research from multiple sources to deliver actionable insights. … growth strategies. Experience in managing and mentoring other consultants/data scientists. Solid understanding of advertising and media planning, working closely with planners and buyers. Proven track record in statistical analysis, with the ability to interpret large datasets using various tools. Strong project management skills, overseeing the end-to-end delivery of modelling projects. Passion for media, marketing More ❯

with our performance marketing team and marketing platforms (Meta, Tiktok, Apple etc) to design and implement lift studies that enhance our understanding of channel performance & incrementality. Brand Marketing Campaign Analysis: Develop causal inference models to provide deeper insights into the performance and uplift of our brand marketing campaigns on awareness and acquisition. Operational Excellence: Continuously review and refine data … tooling, collaborating with engineering to maximise efficiency. What you’ll need 3+ years in Data Science, with a focus on Marketing Science or a related field. Strong background in statistical analysis, including Marketing Mix Modelling and Predictive LTV modelling. Excellent knowledge of both Data Science (Python, SQL) and production tools (Airflow). Experience of shipping tested models which More ❯

BASIC QUALIFICATIONS - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science More ❯

IT, or related field. Experience in data architecture, engineering, or similar roles. Familiarity with big data technologies, analytics platforms, data fabric, data mesh, and data management technologies. Knowledge of statistical analysis, machine learning, and data visualization. Understanding of microservice architecture, Kubernetes, CI/CD, DevSecOps, and cloud platforms (Azure, AWS, Google Cloud). Experience with electric utilities and More ❯

interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for 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 ❯

with our performance marketing team and marketing platforms (Meta, Tiktok, Apple etc) to design and implement lift studies that enhance our understanding of channel performance & incrementality. Brand Marketing Campaign Analysis: Develop causal inference models to provide deeper insights into the performance and uplift of our brand marketing campaigns on awareness and acquisition. Operational Excellence: Continuously review and refine data … tooling, collaborating with engineering to maximise efficiency. What you’ll need 3+ years in Data Science, with a focus on Marketing Science or a related field. Strong background in statistical analysis, including Marketing Mix Modelling and Predictive LTV modelling. Excellent knowledge of both Data Science (Python, SQL) and production tools (Airflow). Experience of shipping tested models which More ❯

part of the role is the quality assessment of the large and varied market data sets used the production of these services. This will often involve the ad-hoc analysis and sourcing of market data and the challenging/querying of suspect market data used in our services with various data providers. The role also involves working closely with … quality work to deadlines. Ability to demonstrate pro-active drive, customer focus and a desire to go the extra mile. Desirable Skills: Knowledge of financial mathematics and quantitative/statistical analysis. Knowledge of database management systems and Python/SQL query construction. Basic knowledge of software programming. Basic understanding of service management best practice and processes. The Department/ More ❯

flow and model integration. Create dashboards, reports, and visualisations to communicate findings to both technical and non-technical stakeholders. Continuously evaluate and improve the performance of deployed models. Apply statistical methods to solve real-world business problems. Ensure data science practices comply with data security and governance standards. Data Scientist experience we’re looking for – Proven experience in a … commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based environments, particularly AWS. Comfortable with SQL and working with relational and non-relational databases. Experience More ❯

statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. Proven experience with at least three machine learning algorithms (e.g., neural networks, logistic regression, random forests). Proficiency with Java and Python, understanding of data structures, algorithms, and More ❯

don’t exist. Clear and confident communication skills; able to collaborate effectively with both technical teams and non-technical stakeholders. Solid understanding of experimentation methodologies, including AB testing and statistical analysis. An interest in sports, gaming, or personalisation domains is highly advantageous. Familiarity with CI/CD practices and the broader software delivery lifecycle, including governance and release management. More ❯

events. The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. What You'll Do: Quantitative Researchers collect and … analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump's Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and … with profitable trading strategies. Strong programming skills in C Python in a Linux environment. Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines. Strong experience developing statistical models in a trading environment. Proven success working with large data sets and developing statistical models. Fascinated More ❯

using health-related observational and clinical trial data under one client portfolio. It is important for this individual to have knowledge in observational research and psychometric methodologies, a strong statistical programming skillset, and experience managing multiple studies and complex analyses. In this role, individuals will have access to real-world databases and act as the stewards of the clients … using health-related observational and clinical trial data under one client portfolio. It is important for this individual to have knowledge in observational research and psychometric methodologies, a strong statistical programming skillset, and experience managing multiple studies and complex analyses. In this role, individuals will have access to real-world databases and act as the stewards of the clients … best practices, standards, and methodologies underlying the use of real-world data (RWD). Essential Functions Develop statistical analysis plans for descriptive and complex statistics in studies using RWD and clinical trial data for PRO/COA psychometric endpoint research questions Mastery in both classical and modern test theories and PRO/COA validation to program analytics Support More ❯

Collaborate with business stakeholders to align AI initiatives with commercial objectives. Build and optimize commercial models and similar solutions to inform decision-making. Provide insights and recommendations based on statistical analysis and machine learning. Deploy solutions accordingly to CCEP standards for automation and productionizing. Qualifications: Master’s degree in Statistics, Data Science, or a related field. Strong expertise … in Machine Learning modelling and statistical techniques. Proficiency in R/Python, SQL, and cloud platforms (e.g., Databricks, Azure). PySpark will be valued. Experience in developing commercial data science applications. Strong communication skills for conveying technical insights to stakeholders. #J-18808-Ljbffr More ❯

career in data analysis. As part of the finance and operations team your role as MI Analyst will be responsible for the creation and maintenance of management information and analysis, assisting with specification and design and seeking to improve and standardise current processes wherever possible. Responsibilities Extract, analyse and interpret data to support business decision making within the context … of the key business drivers Provide detailed, accurate and consistent metrics, analysis and KPI information to senior managers and business leaders. Design and maintain a suite of reports providing management information on the operational efficiency and performance of the contact centre Data validation and cleansing to assist new business processes Timely reports to view progress against business KPIs Create … or a numerical based degree Excellent working knowledge of Microsoft Excel, including pivot tables, VLOOKUP's, SUMIfs and logic formulas (if, or, and) Experience of business modelling and data analysis is desirable Experience of using statistical analysis techniques e.g. six sigma is desirable An ability to communicate conclusions and insight from complex data analysis in an More ❯

strong relationships over time. Projects will be varied but could be anything from Data Modelling to address a specific business problem, Data Science & Machine Learning associated with electronic trading, statistical analysis of different financial data sets, data transformation advisory and consulting. What we are looking for : Degree level academics in Quant topic: Maths, Stats, Science etc Track record … of working on Data Science & Analysis projects ideally within Capital Markets, but open to individuals who have other aligned commercial experience You'll have a good knowledge of Python & associated libraries You'll have a good understanding of DataBase's & Data Base Managment SQL, Excel & a Data Visualisation tool preferred Initially the role will probably be around 50/ More ❯

be responsible for developing and delivering high-quality analytical insights to support performance, demand management, and organisational change. This role requires a strong understanding of advanced analytical methods, including statistical analysis, data modelling, and business intelligence technologies. Key responsibilities will include: Designing and developing interactive dashboards and business intelligence applications that translate complex data into meaningful insights. Supporting … field. Engaging with internal and external analytical communities to enhance best practices and support research-led improvements. Educated to degree level or with equivalent relevant experience. Demonstrable expertise in statistical analysis, business intelligence, and the development of dashboards and reporting tools. Proven ability to interpret complex datasets and deliver actionable insights to senior stakeholders. Strong organisational and planning More ❯

of evaluations results to understand successes and failures and using these insights to create best practices for testing exercises. Developing our approach to uncertainty quantification and significance testing, increasing statistical power (given time and token constraints). Developing methods for inferring model capabilities across given domains from task or benchmark success rates, and assigning confidence levels to claims about … testing exercises and adversarial collaborations with the evaluations teams, and developing “sanity checks” to ensure the claims made in our reports are as strong as possible. Conducting in-depth analysis of evaluations methodology and results, diagnosing possible sources of uncertainty or bias, to improve our confidence in estimates of AI system capabilities. Improving the statistical analysis of … literature, hands-on experience with designing and running evaluations, scaling laws, fine-tuning, scaffolding, prompting. Broad experience in empirical research methodologies, potentially in fields outside of machine learning, and statistical analysis (T-shaped: some deep knowledge, lots of shallow knowledge, in e.g. experimental design, A/B testing, Bayesian inference, model selection, hypothesis testing, significance testing). Deeply More ❯

will have the opportunity to immediately work on some of the largest, high profile and most significant competition cases in Europe, playing a key role in shaping the economic analysis and thinking of these cases.Successful candidates have a strong knowledge of economic concepts and a range of research and quantitative skills. A typical Senior Associate would: Identify and conceptualise … issues, specifying rigorous economic models to analyse market issues and data, undertaking statistical and econometric estimation, and managing the work of research associate staff and colleagues; Supervise, train and mentor research associate staff; Assist in the development and presentation of client deliverables, including expert reports and white papers summarising opinions, conclusions, and recommendations using market, industry or client-proprietary … primary point of contact for lawyers and other industry or government clients on a variety of practice-relevant issues; Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, Python, R, SAS, Matlab, and Mathematica), including large data projects requiring use of cloud computing; Ensure the integrity and accuracy of analyses and More ❯