101 to 125 of 534 R Jobs in the UK

on all findings which will be useful at stakeholder sessions Potential to expand the insights out into future forecasting based on set scenarios using coded solutions i.e. Python or R Liaise with key stakeholders to help understand business context Present findings at Stakeholder sessions Essential Skills & Experience Advanced technical expertise in M365 (SharePoint, MS Projects Online, Excel, Project), Power BI More ❯

degree level Exposure to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics) Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata) Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau) If this sounds like you, please get in touch We look forward to meeting you. In return, we More ❯

as infrastructure as code and CI/CD Experience with graph-based data workflows using Apache Airflow Programming skills in one or more of the following: Python, Java, Scala, R and experience in writing reusable/efficient code to automate analysis and data processes Experience in processing large volumes of data using parallelism techniques/tooling, such as Apache Spark More ❯

Solid SQL skills for querying and managing complex datasets. Must have prior experience in radio, audio, or broadcast media. Exposure to sales data, advertising revenue, or commercial analytics. Python, R, and Power BI experience is desirable. HOW TO APPLY: Please register your interest by sending your CV to Mojola Coker via the apply link on this page. More ❯

across risk, technology, and senior leadership teams Required Skills & Experience • Deep expertise in decision engine platforms — e.g. FICO Blaze, Pega, or similar • Strong data analytics and programming capability (Python, R, SAS) • Proficient in enterprise system integration and data warehousing environments • Understanding of cloud platforms (AWS, Azure, GCP) for scalable decisioning • Advanced knowledge of statistical modelling & machine learning techniques • In-depth More ❯

unified approach to data. YOUR SKILLS AND EXPERIENCE: Significant experience working with data in an analytical role, ideally in a consumer/tech company. Proficiency in SQL, dbt, Python, R and BI tools such as Looker, Lightdash or Tableau. Ability to translate business problems into analytical tasks and communicate insights clearly at all levels. AB testing/experimentation experience Strong More ❯

across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best practices for development, deployment, and workload optimization. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from relational databases, APIs, and streaming sources using best-practice patterns. Collaborate with API developers for seamless data exchange. Utilize Azure Purview for governance and More ❯

Windows app development in C#/VB.NET. Exposure to multi axis motion control programming (e.g. g-code). Foundation in fluid dynamics. C++ firmware experience. Mentoring for more junior R&D engineers. More ❯

Windows app development in C#/VB.NET. Exposure to multi axis motion control programming (e.g. g-code). Foundation in fluid dynamics. C++ firmware experience. Mentoring for more junior R&D engineers. More ❯

of churn, LTV, retention, and experimentation. Experience with a data visualisation or BI tool (they use Mode, but open to others). Familiarity with tools such as Amplitude, Python, R, or dbt a plus but not essential. Confident communicator able to translate data into stories and influence stakeholders. A proactive self-starter who thrives in a fast-paced, scaling environment. More ❯

we can incentivise the right behaviour internally, and also encourage our growth Who you are: 4-7 years experience in similar roles Mathematical background Strong SQL skills Python/R Strong analytical ability Decent understanding of stats and statistical modelling Data visualisation and storytelling ability Ability to self organise and manage stakeholders Demonstration of impact/going above and beyond More ❯

a strong desire to learn. A proven track record of developing predictive and prescriptive analytics to inform business decisions. Proficiency in analytical tools and programming languages such as Python, R, and SQL. A keen interest in machine learning techniques, from linear models to deep learning. A degree in a STEM field (preferred but not essential). Experience in finance, insurance More ❯

Mix Modelling and marketing effectiveness 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 and influence senior, non-technical stakeholders. More ❯

understanding and applying a range of modern tools and techniques to analyse data, as well as excellent skills in querying and reporting on datasets through modern tools such as R, Python etc, including creating dashboards and visualisations. Substantial experience of working in data and analysis in a local authority or related field would be highly desirable, but our client is More ❯

of client-facing data projects across the full SDLC from design to migration, integration and live service in a multi-vendor environment Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging More ❯

and ability to troubleshoot issues effectively Passion for service excellence and continuous improvement Ability to prioritise workload based on client contracts Basic Microsoft Excel, SQL, and PowerPoint Experience using R or Python Experience as a Data Analyst Experience in a regulated environment, ideally in financial services Knowledge of the credit industry Knowledge of process improvements techniques Entry requirements: A Level More ❯

data analytics · As an AWS Solutions Architect or Lead, or similar · Strong Python experience or other object oriented or a functional programming language such as Java, Scala, C#, or R · Data warehousing – building operation ETL data pipelines across several sources, and constructing relation and dimensional data models · Built and maintained scalable infrastructure through IaC frameworks (e.g., Terraform, CloudFormation) and CI More ❯

and qualitative insight generation. Proven ability to use data science, AI modelling, or computational approaches to address policy-relevant or scientific questions. Proficiency in relevant tools such as Python, R, or machine learning frameworks (e.g. PyTorch, TensorFlow) is desirable. Experience of working with government, research institutions, or international organisations is desirable. Excellent organisational and project management skills, with the ability More ❯

working within digital or Marketing Agencies Consistent commercial experience in predictive analytics such as modelling, clustering, CHAID etc. Strong ability to use programming languages such as SQL and Python, R or SAS Comfortable using Web Analytics and reporting on this data. Excellent stakeholder management skills More ❯

teams Delivering insights on customers 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: Experience within Product Analytics/ More ❯

Scala) and related tools to ensure quality and consistency. Utilize Unity Catalog, Delta Lake, Spark SQL, and best practices for Databricks development, optimization, and deployment. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from multiple sources and formats (CSV, JSON, Parquet, Delta) for downstream analytics, dashboards, and reporting. Apply Azure Purview for governance and quality checks. Monitor pipelines More ❯

forecasts, scenario analyses, or decision-intelligence insights. Strong competency in probability, calibration, scenario design, and structured judgment techniques. Proficiency with forecasting tools, data visualization, or statistical software (e.g., Python, R, Excel) is highly valued. Excellent written and verbal communication, strong analytical reasoning, and collaborative mindset. Commitment of 20–30 hours per week, including required synchronous collaboration periods. Why Join Collaborate More ❯

market microstructure, high-frequency trading systems, probability, optimisation, and time-series analysis. Proficiency in one or more programming languages commonly used in quantitative and HFT environments (Python, C++, Julia, R, or Rust). Experience with simulation systems, trading infrastructure, latency optimization, or machine learning models is a strong plus. Excellent analytical reasoning, communication, and collaboration skills. Ability to commit to More ❯

team of analysts, fostering curiosity and 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 in analytics, insights, or data More ❯

and always work in a manner that is sensitive to information security. You will use your experience of using a variety of tools such as MS Excel, Qlik, SQL, R, Python, QGIS, Tableau. Logical and creative thinking: You will respond effectively to problems in databases, data processes, data products and services as they occur. You will initiate actions, monitor services More ❯