1 to 25 of 50 R Jobs in Berkshire

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 ) consistent with data definitions … accuracy -thus submission readiness -of clinical data as required by authorities (i.e . SDTM, ADaM, tables, figures, listings , define.xml). Experience and Qualifications Minimum 5+ years of experience in R programming for clinical trial data including developing and validating R packages from CRO or Pharmaceutical Industry. Strong programming skills in R/R Shiny Proven experience in applying R and More ❯

e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into More ❯

of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯

strategy. What They’re Looking For Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical More ❯

managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like More ❯

record in forecasting and data analysis/data science, with hands-on experience building and enhancing complex models from scratch Proficiency with statistical tools and programming languages such as R, Python, or SAS Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to More ❯

years in product/analytics roles Strong skills in SQL, A/B testing, statistics and data storytelling Hands-on with Tableau, Power BI, or Looker Bonus: Python/R, predictive modelling, FinTech passion What you get: Competitive salary plus discretionary bonus Excellent benefits package Hybrid working (3 days in London office) Career growth with unlimited learning Extra perks: birthday More ❯

through experimentation and analytics What We’re Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of More ❯

What we’re looking for: At least 3 to 5 years of experience in data science, with a strong focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and results in More ❯

interest in AI tool integration to enhance research workflows and insight generation. Experience in data visualisation and storytelling, including building dashboards and reports. Proficiency in MS Office; experience with R, SQL, Python, or equivalent tools is beneficial. Ability to deliver high-quality outputs efficiently. Excellent attention to detail. Strong presentation skills with the ability to convey complex information clearly. Ability More ❯

in a consultancy or agency environment Strong command of quantitative analysis methods , including regression, segmentation and more advanced statistical techniques Proficiency in tools like Python, SQL, SPSS, Q or R Confidence working with and integrating non-survey data sources such as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical audiences An innovative and proactive More ❯

team members and lead innovative analytical initiatives. You will bring experience working in data science/statistics from a market research or media agency, and be an expert in R and/or Python . Expertise with analysis of survey data and undertaking segmentation and conjoint analysis expertise is essential. Experience of survey analytics such as MaxDiff, TURF; knowledge of More ❯

futures and options pricing, volatility modeling, and curve-fitting techniques. Experience with digital asset markets or fintech is highly desirable. Technical Skills: Proficiency in programming languages such as Python, R, C++, or Matlab for model development and data analysis. Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure. Familiarity with high-performance computing and low-latency More ❯

in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure to machine learning, predictive modelling, and advanced analytics techniques Industry experience in Automotive, Finance, or Manufacturing is highly desirable What’s in it for you: 💰 Salary More ❯

markets, trading instruments, and risk management concepts Experience with trading platforms such as Allegro, Endur, Titan, or similar ETRM systems Proficiency in data analysis tools (Excel, SQL, Python/R preferred) Understanding of market data feeds, pricing models, and trade lifecycle management Familiarity with regulatory reporting requirements for energy markets Core Competencies Excellent analytical and problem-solving skills with attention More ❯

Business Intelligence Manager page is loaded Business Intelligence Manager Apply locations Reading, Berkshire, United Kingdom time type Full time posted on Posted Yesterday job requisition id R Business Intelligence Manager IQVIA is proud to be working with an exciting client in the pharmaceutical and dermo-cosmetic space Are you passionate about transforming data into strategic insights? We're looking for More ❯

You have experience in Conjoint analysis, either using the Sawtooth suite of programmes or otherwise; You have experience running Segmentation projects using different clustering methods; You are expert with R and/or Python; Nice-to-haves: You have an interest in current affairs and politics; You have experience or knowledge of standard survey analytics such as MaxDiff, TURF, Key More ❯

learning models, statistical analysis, and predictive analytics. Experience designing experiments or modelling approaches to solve a specified business problem. Preferred Qualifications Proficiency in programming languages such as Python or R; knowledge of is R an advantage. Experience with SQL and working knowledge of relational databases. Proficiency with data visualisation tools and techniques. Experience with AWS is a plus. Strong problem More ❯

Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you More ❯

or macro/commodity data. Experience working with large, unstructured datasets across varying timeframes, ideally within commodities or energy markets. Proficient in at least one major programming language (Python, R, MATLAB, C++, or C#). Exceptional attention to detail and the ability to manage multiple research streams simultaneously. Intellectual curiosity and creativity in approaching complex problems, particularly around integrating unconventional More ❯

into strategic action. You’ve worked hands-on with MMM projects and are comfortable navigating marketing/media datasets to uncover trends and efficiencies. Solid coding experience in SQL, R or Python Strong understanding of marketing, media, and promotional strategies Demonstrable hands-on experience in Marketing Mix Modelling A confident communicator and collaborative team player Analytical thinker with the ability More ❯

Strong background in marketing or performance analytics Experience leading or managing analytics teams Stakeholder management and communication skills Familiarity with MMM, customer modelling, and related techniques SQL, Python or R proficiency Nice to have: Experience in live entertainment, ticketing, or consumer-focused businesses Familiarity with CDPs or marketing automation platforms Passion for theatre, live events, or the arts More ❯

you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is More ❯

health settings, with a proven track record in a senior data or intelligence role Competent in use of IT and of data and statistical packages eg. Miquest, SQL, SPSS, R, or others, relevant to the analysis of large health data Excellent communication and partnership-building skills BENEFITS A generous annual leave entitlement of 31 days (rising to 36 days after More ❯

selection. Desirable Experience in developing and deploying machine learning–based assessments in production environments. Knowledge of GDPR compliance, with a particular focus on AI and data protection Proficiency in R and Python programming. More ❯