Join a sponsor-dedicated team and contribute to the advancement of in-house study activities over time. As the R Programming Lead , you will provide technical expertise to the Statistical Programming team, ensuring the delivery of high-quality solutions that meet both internal and external requirements. Responsibilities • Develop internal and external R packages for clinical trial analysis ( ADaM … tables, figures, listings). • Validate R packages. • Lead implementation in R and train other Biostatistics team members. • Conduct statistical programming work of clinical data using R. • Identifies problems and develops global tools that increase the efficiency and capacity of the Statistical Programming group. • Create and/or validate all safety and efficacy study output requirements (e.g. ADaM, TLFs … including developing and validating R packages from CRO or Pharmaceutical Industry. Strong programming skills in R/R Shiny Proven experience in applying R and R-Shiny for the analysis and reporting of clinical trials. Ability to reproduce statisticalanalysis using R. Strong skills in data visualization and data wrangling using R. Proficiency in using R packages More ❯
will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statisticalanalysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯
will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statisticalanalysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯
will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statisticalanalysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯
london (city of london), south east england, united kingdom
Harnham
will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statisticalanalysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. 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, statisticalanalysis 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 ❯
Since 1990, METRONOMIA has stood for quality, competence, continuity and unconditional customer orientation in terms of data management, statistical services and medical writing in clinical research. As a growth-oriented medium-sized company with over 145 employees, we operate internationally. Our customers appreciate the competence and commitment of our employees and we value our employees as the basis of … the company's success. Join a motivated and friendly team as Statistical Programmer (UK Remote) Your responsibilities You program and validate statisticalanalysis of clinical studies with SAS. You define and program analysis datasets and CDISC SDTM and ADaM datasets in SAS. You are responsible for the quality control of evaluations of clinical studies. You conduct More ❯
Ops style automation •Experience with ix (e.g, Linux, BSD, etc.) tooling and scripting •Participated in projects that are based on data science methodologies, and/or physical experiments, or statisticalanalysis - especially in a data engineer and dev ops capacity. Skills & Knowledge : Knowledge of major data science and dev ops frameworks and methods Very strong analytical skills and … role Active Learning, Active Learning, Adaptability, Agile Methodology, Amazon Web Services (AWS), Automation Cloud, Cloud Infrastructure, Continuous Integration and Continuous Delivery Methodologies, Cost Optimization, Cross-Functional Work, Curiosity, Data Analysis, Digital Literacy, Disaster recovery and high availability, Docker (Software), Emotional Intelligence, Empathy, GitHub, Infrastructure As Code (IaC), Initiative, Kubernetes, Lambda, Linux, NoSQL, Problem Solving + 8 more We are 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 statisticalanalysis 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 ❯
Country Coordination: Partner with Cross Functional teams to ensure coordinated pricing strategies across expansion stores while adapting approaches to local competitive landscapes, regulatory requirements, and customer behaviors • Competitive Intelligence & Analysis: Monitor and analyze competitor pricing strategies across Belgium, Netherlands, Sweden, and Poland, providing actionable insights to inform pricing decisions and maintain competitive positioning • Process Optimization: Continuously improve automated pricing … across monitored stores, identifying trends and opportunities for improvement BASIC QUALIFICATIONS • Bachelor's degree in Economics, Finance, Business, Engineering, Mathematics, or related analytical field • Prior experience in pricing, business analysis, consulting, or related analytical roles • Proficiency in SQL and Excel, with demonstrated ability to manipulate and analyze large datasets • Strong analytical and problem-solving skills with experience in statisticalanalysis and data interpretation • Excellent written and verbal communication skills in English, with ability to present complex findings to senior leadership • Experience working with cross-functional teams and managing multiple projects simultaneously • Demonstrated ability to work independently and drive results in ambiguous, fast-paced environments PREFERRED QUALIFICATIONS • Master's degree in Economics, Finance, Business Administration, or related field More ❯
in ensuring the accuracy, integrity and accessibility of Age UK's data. You will be involved in data collection, cleaning and preparation of data from various sources, performing basic statisticalanalysis, and identifying trends and patterns. You will support the Network Data & Insight team to deliver against its workplan, contributing to wider work supporting the evidencing of Age … managing large volumes of data from multiple sources A, I Experience of collating data and reports, including preparation of tables and graphs A, I Experience of data entry and analysis to a high level of accuracy and attention to detail A, I Experience of communicating with various stakeholders on data and reporting A, I Experience of working with service More ❯
to gather requirements and translate them into actionable technical specifications. Oversee the development and maintenance of production-grade Python applications for machine learning and AI. Drive the application of statisticalanalysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize More ❯
as stock, options, ETFs and futures, with strategies including market making, automatic quoting, central risk books, systematic trading and algorithmic execution, trading on venues around the world. We deploy statisticalanalysis techniques and mathematical models to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the … across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time series data Drive our market making platform development using a range of technologies, and collaborate closely with Quant More ❯
or pharma/life sciences. You will work will directly influence compensation strategies that align with the fast-paced, innovative culture of the sector. What the role involves: Data Analysis & Insights – Utilise data analytics to build market compensation trends within each sector. Translate large datasets into actionable insights and providing clients with a clear understanding of their market positioning. … consulting with a focus on data advisory and benchmarking for the professional services, retail, manufacturing, tech, pharma/life sciences industries Strong analytical skills with proficiency in data modelling, statisticalanalysis and Excel. In-depth knowledge of compensation practices. Excellent communication and presentation skills, with the ability to translate data insights into actionable recommendations. Experience could be from More ❯
or pharma/life sciences. You will work will directly influence compensation strategies that align with the fast-paced, innovative culture of the sector. What the role involves: Data Analysis & Insights – Utilise data analytics to build market compensation trends within each sector. Translate large datasets into actionable insights and providing clients with a clear understanding of their market positioning. … consulting with a focus on data advisory and benchmarking for the professional services, retail, manufacturing, tech, pharma/life sciences industries Strong analytical skills with proficiency in data modelling, statisticalanalysis and Excel. In-depth knowledge of compensation practices. Excellent communication and presentation skills, with the ability to translate data insights into actionable recommendations. Experience could be from More ❯
of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statisticalanalysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. We are seeking research scientists with a demonstrated More ❯
from conception to deployment - Experience in advising, defining and applying best practices, evaluating alternative and complementary ML and foundational models suitable for given business contexts - Experience in data modeling, statisticalanalysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets - Experience in mentoring junior team members, and guiding them on creating end to end More ❯
You'll work within a dynamic team to support and enhance our AI-driven talent platform. Your background is in a heavy data environment, with a natural inclination towards statistical analysis. A STEM degree is beneficial but not necessary. You should be comfortable in the cloud, preferably AWS, with good experience building, managing, and enhancing data pipelines. Proficiency in More ❯
team and lead on all things advanced analytics & data science! THE ROLE As the Senior Analyst you will utilise your strong SQL & Python experience across a range of ststatical analysis projects, including customer segmentation, marketing measurement, forecast modelling, linear regression & synthetic control methodology YOUR SKILLS AND EXPERIENCE Strong Python Strong SQL StatisticalAnalysis THE BENEFITS More ❯
With a focus on building a single source of truth, developing rigorous quantitative models, and delivering effective tools for interrogating data, our intention is to empower stakeholders with insightful statistical analyses that are both timely and actionable. Leveraging data as our fundamental commodity and powered by talent, we are looking to push the cutting edge of football analytics to … a key role in the data science team driving innovation and advanced analytics in football. Your focus will be on: Expanding our understanding of football through advanced modelling and analysis of tracking and event data. Developing and productionising predictive models to enhance match analysis, player performance evaluation, opponent analysis, and player identification. Collaborating with stakeholders across all … driven decision-making across football departments. Key Responsibilities Model Development: Work with tracking and event data to enhance understanding of match performance and tactical trends. Develop and maintain advanced statistical and machine learning models to generate meaningful insights from large football datasets. Apply innovative approaches to analysing team performance, match dynamics, and player performance. Ensure model outputs are interpretable More ❯
Linux and embedded software development. Experience with machine learning software techniques and classification methodologies. Experience and understanding of C++. Experience with Python or another software scripting language. Mathematical and statisticalanalysis skills. More ❯
Linux and embedded software development. Experience with machine learning software techniques and classification methodologies. Experience and understanding of C++. Experience with Python or another software scripting language. Mathematical and statisticalanalysis skills. More ❯
Effectively communicate and educate other engineers in the theory and best practices of the application of AI. Evaluate and select AI algorithms and tools appropriate for specific problems. Perform statisticalanalysis and tuning to ensure implemented algorithms are producing accurate results. Reporting and documenting on AI processes and results. Participate in code reviews, testing, and debugging to ensure More ❯
communicator with excellent presentation skills. Proficient in C++ or equivalent programming languages. Strong scripting skills using Python, PERL, Unix, etc. ATE (V93K/Teradyne) expertise is essential. Knowledge of statisticalanalysis tools (JMP etc.) to support NPI and Production would be advantageous. Knowledge of High-Speed SERDES testing is advantageous. If this is the role you have been More ❯
from conception to deployment - Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts - Foundational knowledge of data modeling principles, statisticalanalysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services More ❯