1 to 25 of 123 R Jobs in the South East

. Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. Desirable: Experience with Python, R, or data visualisation tools. Internship or project experience in data analytics or financial services. Understanding of personal loan products and customer journeys. TwentyFour Recruitment is an equal-opportunity employer. If More ❯

analytics adoption. Essential Skills & Experience • Proven experience as a Data Specialist, Machine Learning Engineer, or Advanced Data Analyst, preferably in an enterprise oneAdvanced environment. • Strong expertise in Python/R, SQL, XML, Azure ML, and Power BI. • Experience with Azure Data Factory, Synapse Analytics, and Dataverse. • Familiarity with the oneAdvanced data model (Finance, Supply Chain, HR, Procurement, etc.). • Strong More ❯

Developed Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP. Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data security best practices Strong problem-solving skills, and the ability to think More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯

with Business Intelligence tools such as Looker, Tableau, or similar platforms Working knowledge of database concepts and data pipelines Strong data analysis and data visualisation skills Experience with Python, R, or another statistical programming language is preferred Personal Attributes Must thrive in a fast-paced and collaborative team environment Flexible and open to different perspectives Curious, with a focus on More ❯

Lead Data Analyst page is loaded Lead Data Analystremote type: Hybridlocations: Oxford, GBRtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R Job Description: Lead Data Analyst Location: Oxford, GBROur mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who get excited about learning. Bring your More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯

learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python or R, is a plus. Development experience with BI platforms such as Looker, Tableau, or Power BI. Benefits included for Data Scientist - Category Management : Comprehensive medical and dental insurance. Company Shares/ More ❯

Key Accountabilities include; Data Analysis: Analyse user behaviour, product usage, and feedback to generate actionable insights for AI-enabled digital services. Use tools such as Power BI, Python, or R to visualise data and support decision-making across product lifecycles User Research: Conduct qualitative and quantitative research to understand user needs, behaviours and pain points in relation to AI-driven More ❯

training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred More ❯

training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred More ❯

training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred More ❯

training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred More ❯

at the right time. Key Skills & Experiences Substantial experience in data analysis or a related field. Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI, Tableau People Analytics - Extensive knowledge of people reporting requirements. HRIS and Org Modelling systems - Good understanding of people systems, technologies and people data sets Substantial experience of More ❯

key messages from large datasets. Be an excellent communicator, able to explaindata concepts to non-technical audiences. Have highly developed IT skills that includes using tools such as SQL, R or Python, PowerBI and PowerQuery. Have good project management skills with experience of working collaboratively with colleagues across large organisations. There are developmental opportunities within the team where you will More ❯

based on our ethos of CARE: C ompassionate care that is trauma informed and supportive A ssurance that care is evidence-based & demonstrates high quality outcomes for our patients R espectful of peoples cultural and religious beliefs E mpowermentWe centre each resident by co-creating holistic care plans that treat their needs and equip them to self-manage their wellbeing. More ❯

Awareness of medallion architecture (Gold, Silver, Bronze). Previous experience creating Data requirements for Data Engineers/Data Scientists. Proficiency in Data Analysis tools such as SQL, Python and R and the ability to write simple SQL scripts. Strong understanding of LLM. The ability to understand the difference between functional and non-functional requirements. The ability to work with technical More ❯

and champion innovative approaches to 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 and presentation skills, with confidence engaging More ❯

in partnership with engineering and tagging teams. Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities - handled by a specialist team Leadership-first role, but with enough technical depth to guide high-quality More ❯

science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design organizational processes for data science delivery and model management. • Excellent analytical and communication skills More ❯

and pipeline development. Experience with 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 is a plus. Experience working with More ❯

of work Excellent communication skills with both technical and non-technical audiences Flexible approach towards hybrid working when required Nice to have: Proficiency in Data Science tooling such as R Previous experience in the Transport/Engineering/Construction/Energy sectors Immediate availability If you're interested in this role, click 'apply now' to forward an up-to-date More ❯

stakeholder management ability. A data-driven mindset with a passion for improving the customer experience. Desirable: Experience working with loyalty programmes or life cycle analytics. Exposure to Python or R for advanced analysis. THE BENEFITS: Competitive day rate of £400-£450 (inside IR35). Hybrid working (2 days in modern London office). Work with a high-profile global brand More ❯