1 to 25 of 41 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 ❯

data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill sets- Data More ❯

exclusively) or equivalent experience. Previous working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and one or more of the following: Python, R, SAS Knowledge of Data visualisation software, PowerBI preferrable. Proven ability to analyse large sets and translate them into insights and actionable business recommendations. Strong communication, collaboration, and presentation skills, with 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Programmer (Remote - Permanent Homebased) Apply locations Reading, Berkshire, United Kingdom Solna, Sweden Paris, France Copenhagen, Denmark Gothenburg, Sweden time type Full time posted on Posted Yesterday job requisition id R Why IQVIA This role will be dedicated to one of IQVIA's largest clients through a Functional Service Provider (FSP) type partnership. This means you get all the benefits of More ❯

Associate Director, Data Management page is loaded Associate Director, Data Management Apply locations Reading, Berkshire, United Kingdom time type Full time posted on Posted Today job requisition id R PURPOSE Establish a Lead Support Office framework to embed customer process/system/standards knowledge and support the institution of new customer lead roles at IQVIA for a large DM More ❯

am looking for someone that: ✅ Holds 4+ years of experience in the insurance industry in London ✅ Exposure to cyber, crisis management classes of business ✅ Strong proficiency in SQL, Python, R, RMS and/or AIR ✅ Excellent communication and presentation skills If this sounds like something you are looking to pursue further, please reach out to me via sueanne.phee@eamesconsulting.com and More ❯

technical skills and impact the insurance industry! What we are looking for: - 4+ years of experience in the insurance market in London - Proficiency in SQL, RMS/AIR, Python, R, CyberCube (Ideally) - Experience in model outputs - Excellent communication and delivery skills Please reach out to me via LinkedIn or Sueanne.phee@eamesconsulting.com to find out more More ❯

a few years in a professional setting. Hands-on experience in an ESG-focused environment, with a strong understanding of sustainability data. Programming skills in Python and/or R, with working knowledge of SQL and exposure to Big Data technologies (e.g. Hadoop). Solid background in financial services, preferably within asset management or investment analytics. Full-time office presence More ❯

support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. … platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker More ❯

learn, Strong understanding of MLOps concepts, including continuous integration/continuous, deployment (CI/CD) for ML, model versioning, monitoring, and retraining, Proficiency with Scripting and programming languages (Python, R, SQL, etc.), Experience with containerization (Docker) and orchestration (Kubernetes) for ML models, Knowledge of data engineering. More ❯

desk where collaboration and innovation knows no limits! Working along various lines of business across natural and man-made catastrophe's, building up skills in the use of Python, R, and AIR, this is a fantastic opportunity to consider. If you are currently in the early years of your career, with 2 years of experience in the insurance industry, please More ❯

this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance More ❯