201 to 225 of 1,819 R Jobs in the UK

fields with strong statistical training and survey research components. Experience: Demonstrated experience working with survey data in market research, commercial research, or applied social research settings. Strong proficiency in R (required) and working knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques More ❯

NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelor's degree in BI, finance More ❯

data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching. Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our More ❯

data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching. Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our More ❯

insurance balance sheets, reserving, and capital will be advantageous, though not essential. Comfort working with statistical methods and financial models. Solid programming or data handling skills – experience with Python, R, or SQL is beneficial. Excellent communication abilities – especially the skill to present technical content concisely. A detail-oriented mindset with a natural curiosity and problem-solving approach. Adaptability and a More ❯

applying statistical models for large-scale application and building automated analytical systems experience - PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Knowledge of Python or R or other scripting language PREFERRED QUALIFICATIONS - Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) - Experience with fairness in machine learning and artificial More ❯

sales activities We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. pySpark, Hive, etc. Experienced working with structured and unstructured data More ❯

and other healthcare technologies. Research Skills Advanced expertise in qualitative research (e.g., interviews, usability testing) and quantitative research (e.g., surveys, statistical analysis). Proficiency in tools such as SPSS, R, Python, or equivalent for data analysis, and Tableau, Power BI, or similar for data visualisation. Experience with user research platforms (e.g., UserTesting, Lookback, Optimal Workshop). Product and UX Collaboration More ❯

position if you have: Advanced SQL skills with strong experience using relational databases. Hands-on experience with BigQuery or a similar large-scale analytics platform. Proficiency in Python or R, including libraries like Pandas. Experience working with BI tools such as Looker, Tableau, Power BI, or Mode. Confidence working in Jupyter or similar notebook environments. A solid grasp of ETL More ❯

a strategic roadmap across analytics, automation, and change. Solid knowledge of data analytics, people metrics, and experience using technology, platforms, and tools (e.g., SuccessFactors, Power BI, Tableau, Python/R, SQL). Familiarity with AI/ML techniques and how they can be applied to improve people processes and decision-making. Knowledge of responsible AI, data ethics, or regulatory frameworks More ❯

the ability to apply statistical methods and algorithms to extract insights from data Especially surrounding experimentation Familiarity with machine learning (ML) and artificial intelligence (AI) techniques, preferably in Python, R, or another programming language, enabling the development and implementation of predictive models and data-driven solutions Everyday Flex - greater flexibility over where and when you work 25 days annual leave More ❯

data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

Engineering, Statistics, or a related quantitative field Hands-on (academic/commercial) e xperience in implementing Reinforcement Learning (or a related displicine ) . Please note: We use the term R einforcement L earning as an umbrella term rather than a specialist term for state-dependent action set framework s Completing a module/thesis on this topic as part of More ❯

Expert in Azure administration and optimisation, including efficient scaling and resource class management. Expert in data architecture, modelling, and ETL performance tuning. Excellent SQL & PowerShell skills. Programming experience in R or similar statistical languages is beneficial. Experience with structuring project work using tools like JIRA. Strong experience working with large, complex datasets and performance analysis. Experience with visualisation tools such More ❯

of the following: Technical Mastery: Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and data modelling. Expertise in Power Platform and Apps components (e.g. Power Apps, Canvas More ❯

capabilities by collaborating with Data SMEs across the business to create centralised, fit-for-purpose data views. Technical Proficiency : Skilled in using data analytics tools such as Python and R, along with visualisation platforms like Tableau and Power BI. Analytical & Communication Strengths : Excellent analytical skills to extract meaningful insights from complex data, paired with strong communication abilities to clearly present More ❯

Understanding of payments Degree in quantitative area (Mathematics, Statistics, Engineering, Computer Science, Economics) or relevant industry experience Practical experience with large datasets and analysis tools of your preference (Python, R, SQL, MicroStrategy, Looker or equivalent) (essential) Experience in applying statistical techniques to problems (e.g. hypothesis testing, causal impact, regression analysis, time series analysis, or similar) Ability to present and explain More ❯

Experience of working with large datasets; defining, querying, validating and analysing data sets using SQL language and Power BI. Experience with an advanced programming language, such as Python or R would be desirable but not essential. 3. Proven ability to establish effective relationships with managers and staff across an organisation and placing a high value on user satisfaction. 4. Thorough More ❯

interpret results. Strategic thinker with the ability to work independently, manage multiple priorities and clearly communicate to non-technical audiences. Experience in multi-site or international hospitality brands. Python, R, or other data science tools for modelling or automation. Creation of predictive algorithms/models using demand and supply data. A passion for gamification, loyalty mechanics, and behavioural economics. What More ❯

and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon SageMaker, Google Vertex, etc; as well as R and/or Python Familiarity with web technologies such as JavaScript, security protocols, application integration, and embedding Degree or equivalent proven experience. Experience will be evaluated based on the core More ❯

business. How you’ll do it: You’ll use, build expertise in, and be open to learning a range of analytics tools to produce robust statistical analysis. These include: R, Python, SQL, Power BI, and Google Analytics — alongside incorporating other tools such as large language models (LLMs) into data analysis and narrative building where appropriate. If you're data-led More ❯

strategies and thought leadership pieces, leveraging industry insights to position the company as a leader in data. Skills and Experience 5+ years of Data Science experience; Proficient in Python, R and SQL; Proven track record of applying diverse data science techniques across multiple industries and use cases; Experienced in leading and managing large customer engagements; Experienced in deploying workloads on More ❯

wider practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data More ❯

wider practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data More ❯