1 to 25 of 90 Permanent R Jobs in Central London

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 ❯

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 ❯

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 ❯

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 ❯

Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please More ❯

the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS More ❯

in customer or marketing analytics, ideally within a consumer-focused business Proven people manager — able to lead, mentor, and develop a team Advanced SQL, with hands-on Python or R experience Strong knowledge of A/B testing and statistical methods (e.g. uplift modelling) Confident stakeholder manager — able to work with senior non-technical teams and influence decision-making Experience 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 ❯

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 ❯

the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar and Emblem software is preferred Proficient at communicating results More ❯

or Econometrics A relevant Master’s degree is a strong advantage Advanced Microsoft Excel skills (essential) Problem solving skills Experience managing large datasets using tools such as SAS, Stata, R, or Python Strong communication skills and attention to detail Comfortable working directly with clients and partners to obtain, validate, and interpret data If this sounds like the role for you More ❯

or Econometrics A relevant Master’s degree is a strong advantage Advanced Microsoft Excel skills (essential) Problem solving skills Experience managing large datasets using tools such as SAS, Stata, R, or Python Strong communication skills and attention to detail Comfortable working directly with clients and partners to obtain, validate, and interpret data If this sounds like the role for you 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 ❯

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 ❯

or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models or workflows Strong programming skills in R or Python, with experience in statistical libraries and bioinformatics tools Familiarity with biobank-scale datasets and genomic databases Experience with cloud platforms and scalable computing environments A publication record that More ❯

or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models or workflows Strong programming skills in R or Python, with experience in statistical libraries and bioinformatics tools Familiarity with biobank-scale datasets and genomic databases Experience with cloud platforms and scalable computing environments A publication record that More ❯

or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models or workflows Strong programming skills in R or Python, with experience in statistical libraries and bioinformatics tools Familiarity with biobank-scale datasets and genomic databases Experience with cloud platforms and scalable computing environments A publication record that 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 ❯

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 ❯

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 ❯

experience in a data-rich environment using data mining techniques and predictive analytics Managing and building a high-performance team and region, from senior managers to graduates Experience with R and Python would be beneficial Experience with GCP - essential Deep understanding of statistical concepts and how to apply this in a business context We believe that diversity is one of More ❯

experience in a data-rich environment using data mining techniques and predictive analytics Managing and building a high-performance team and region, from senior managers to graduates Experience with R and Python would be beneficial Experience with GCP - essential Deep understanding of statistical concepts and how to apply this in a business context We believe that diversity is one 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 ❯

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 ❯