1 to 25 of 49 R Jobs in the South East

developing/implementing data strategies. Proficiency in web analytics solutions (e.g., Google Analytics, Adobe Analytics, ContentSquare), data analytics tools/languages (SQL, Python, R, SAS), and data visualization platforms (e.g., Tableau, Power BI). Strong understanding of statistical methods, machine learning, data mining techniques, data warehousing solutions, big data technologies ...

strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one of the following: SQL, Python, R, or similar data analysis tools. Excellent problem-solving skills and attention to detail. Strong communication skills, with the ability to translate complex data into understandable insights. ...

such as Looker, Tableau, or ThoughtSpot. Practical experience with A/B and MVT testing, from setup through to interpretation of results. Familiarity with R or Python for advanced analytics, modelling, or automation (desirable, not essential). Strong commercial awareness, problem-solving mindset, and critical thinking skills. Excellent communication skills ...

product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data storytelling ...

Analytics function, supporting reporting, insight and continuous improvement initiatives. About you: In-depth experience with analytical tools including Power BI (DAX and M), R and/or Python, and SQL Server Management Studio. Strong ability to communicate insights through data storytelling. Detailed knowledge of statistical techniques and research methods. Excellent ...

experience (joins, selects, data manipulation). Comfortable working with relational databases. Power BI for reporting and data visualisation. Nice to Have Python or R (interest is sufficient; not essential). Exposure to forecasting beyond basic historical analysis. IDEAL CANDIDATE PROFILE Midweight analyst with 3-5 years' experience and proven delivery ...

dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience ...

dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience ...

dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience ...

charts, visualisation). SQL experience (joins, selects, data manipulation). Comfortable working with relational databases. Power BI for reporting and data visualisation. Python or R (interest is sufficient; not essential). Exposure to forecasting beyond basic historical analysis. WHY APPLY? Join a purpose-led agency where data directly influences real ...

charts, visualisation). SQL experience (joins, selects, data manipulation). Comfortable working with relational databases. Power BI for reporting and data visualisation. Python or R (interest is sufficient; not essential). Exposure to forecasting beyond basic historical analysis. WHY APPLY? Join a purpose-led agency where data directly influences real ...

hands-on exposure to CRM or customer databases Educated in the UK (familiarity with the education system is important) Nice to Have Python or R (interest or early exposure welcomed) Forecasting experience beyond simple historical analysis Experience working with education, youth, or public-facing campaigns Team & Culture Small, close-knit ...

including demographic, LTV and engagement Regularly conducting a/b tests and other experiments Analysis incl. statistical analysis with tools such as Python/R desirable Development of some reports/dashboards in Tableau YOUR SKILLS AND EXPERIENCE The successful Product Data Scientist will have the following skills and experience ...

organizations and adapt to changing needs. Person Specifications Must Have Knowledge of public health data analysis. Strong skills in data analysis tools like SQL, R, or Python. Experience with clinical datasets, especially from primary care. Understanding of health management methods like risk stratification. Ability to design dashboards for decision-making. ...

innovation. Act as the bridge between data and business stakeholders, translating analytics into commercial outcomes. Tech Environment Tools: SQL, GA4, BigQuery Languages: Python, R Environment: Modern data infrastructure with dedicated tagging and engineering support. No tagging work required - focus purely on insights and impact. About You 5+ years' experience ...

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+ ...

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+ ...

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+ ...

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+ ...

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+ ...

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+ ...

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+ ...

frameworks. Strong SQL skills (high bar - candidates must be comfortable scoring 10-11 out of 15 on SQL assessments). Hands-on experience with R or Python for statistical modelling. Strong experimentation background (A/B testing, geo-testing, incrementality). Excellent communication skills - able to simplify complex models ...

research using survey data Hands-on experience with regression, factor analysis and segmentation techniques Strong data wrangling, cleaning and weighting skills Proficiency in R or Python for analysis and visualisation Curious, exploratory approach to finding insight in data Nice to have Experience with Bayesian as well as frequentist methods Understanding ...

Degree (or equivalent qualification) in Civil Engineering, Environmental Science, or a cognate discipline Considerable experience of coding, particularly using Python and/or R Demonstrable experience of developing machine learning models, particularly when applied to environmental data Experience of working in a hydrological or water-centric environmental science role Confident ...