151 to 175 of 679 R Jobs in England

deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus More ❯

data governance. Skills & Experience Essential: 3+ years’ analytics experience (financial services strongly preferred). Strong SQL for data extraction, joins, window functions and performance tuning. Proficiency in Python or R for analysis and experimentation (Python preferred). Proven experience with A/B testing: design, power, analysis and clear read-outs. Dashboarding in Power BI/Tableau/Looker and More ❯

data governance. Skills & Experience Essential: 3+ years' analytics experience (financial services strongly preferred). Strong SQL for data extraction, joins, window functions and performance tuning. Proficiency in Python or R for analysis and experimentation (Python preferred). Proven experience with A/B testing: design, power, analysis and clear read-outs. Dashboarding in Power BI/Tableau/Looker and More ❯

Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time More ❯

degree in a quantitative subject (Mathematics, Computer Science, Engineering, Economics, Finance) with up to 3 years of professional experience Solid coding skills in at least one major computer language (R and/or Python) Intellectual curiosity, drive and interest in financial and quantitative topics Full proficiency in English Desirable but not required: Prior professional experience with financial risk management (quantitative More ❯

Science, Artificial Intelligence, Engineering, or a related field. Proven experience in designing, developing, and deploying machine learning models and AI algorithms. Strong proficiency in programming languages such as Python, R, or Java. Solid understanding of data processing, feature engineering, and data analytics. Ability to collaborate effectively with cross-functional teams including data scientists, engineers, and product managers. Strong problem-solving More ❯

You'll Bring Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of stakeholders across More ❯

home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field Knowledge of Python or R or other scripting language Experience in building quantitative solutions as a scientist or science manager Experience directly managing scientists or machine learning engineers Experience in applying statistical models for large More ❯

a 2.1 in a mathematical or scientific degree subject. 2-5 years' experience in underwriting analytics, performance management or actuarial pricing/reserving/capital modelling. Proficiency in SQL, R and Power BI. Strong IT skills in areas such as Excel are an advantage. Must be self-motivated and able to think and operate independently within a fast-paced, multi More ❯

The applicant have proven experience in use of Excel , creation of dashboard and SQL data extraction Desirable Applicant has proven experience in use of advanced analytical skills - data science, R, Power BI, Query etc. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for More ❯

contributing to the design, improvement, and implementation of better workflows and smarter insurance analytics. Ability to learn and adapt to new technologies quickly. Previous experience with coding (e.g., SQL, R, Python, Java) and working with large data sets is an advantage. Strong communication and presentation skills, including the ability to move between the minutiae of functional specifications and overarching business More ❯

into compelling insights that inform strategic decision-making and improve customer satisfaction and conversion. Key Responsibilities Design and maintain analytical models, dashboards, and visualisations using tools such as Python, R, Tableau, or Power BI. Apply machine learning and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging … and problem-solving skills with a keen eye for detail. The ability to communicate insights clearly and persuasively to non-technical audiences. Experience with data tools such as Python, R, Tableau, or Power BI. Interest or experience in customer experience and Voice of Customer (VoC) insights. Bonus skills (not required): Experience with predictive modelling, NLP, or large language models. Exposure More ❯

with marketing and pricing teams to meet business targets What We're Looking For 3+ years' experience in data analytics within financial services Strong skills in SQL and Python (R also considered) Experience with A/B testing and data visualisation Comfortable working with lead generation and third-party data sources Strong communicator, confident in turning analysis into actionable recommendations 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 mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus) Familiarity with systematic or algorithmic trading strategies High attention to detail, curiosity, and the ability to challenge assumptions constructively More ❯

in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus) Familiarity with systematic or algorithmic trading strategies High attention to detail, curiosity, and the ability to challenge assumptions constructively More ❯

in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus) Familiarity with systematic or algorithmic trading strategies High attention to detail, curiosity, and the ability to challenge assumptions constructively More ❯

in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus) Familiarity with systematic or algorithmic trading strategies High attention to detail, curiosity, and the ability to challenge assumptions constructively More ❯

in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus) Familiarity with systematic or algorithmic trading strategies High attention to detail, curiosity, and the ability to challenge assumptions constructively More ❯

Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards, and proficient in either Python, R, or both More ❯

Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards, and proficient in either Python, R, or both More ❯

inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding More ❯

inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding More ❯

inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding More ❯

inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding More ❯