1 to 25 of 129 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 ❯

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 ❯

stacks (AWS, GCP, Azure) and data visualization tools and applications (Tableau, Qlickview, PowerBI) You should have very good knowledge of at least one scripting language like Python (preferred) or R Knowledge of container platforms, e.g. dockers Business-oriented presentations of complex concepts for a business audience You will simplify workflows and communicate complex statistical concepts in a simple way #LI 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 ❯

business users Present findings and recommendations to non-technical stakeholders 3. Ideal Qualifications 5+ years of applied data science or analytics experience in business settings Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills Experience with data visualization tools (e.g., Tableau, Power BI) Solid understanding of statistical modeling, experimentation, and A/B testing Strong communication skills 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 ❯

from data Prior experience and a strong understanding of data analysis software and programming languages including as a minimum Python, SQL and advanced Excel (additional tools eg. Tableau, Alteryx, R would be beneficial). Essential Ability to leverage data to drive both tactical and strategic decision-making, identifying opportunities for data-led approaches to improve outcomes Strong understanding of intelligence 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 ❯

Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/ More ❯

and Python programming skills, along with a good understanding of Machine Learning techniques Experience using data platforms such as Databricks and Snowflake Experience of scripting languages such as Javascript, R, Powershell or VBScript In this role you will: Lead a team of analysts & engineers building and deploying innovative, scalable solutions for clients. Oversee the delivery of complex data transformation, analytics More ❯

internal policies and applicable regulations. Minimum Requirements - Proven experience as a Data Scientist or in a similar analytical role.- Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).- Strong understanding of statistical modelling, machine learning, and data visualization techniques.- Excellent problem-solving skills and attention to detail.- Ability to communicate complex technical concepts to non-technical 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 ❯

and data quality Basic knowledge of Agile project management methodology and artefact style such as user stories Skilled in data analysis tools such as Informatica Analyst, Alteryx Designer, Python, R, Microsoft Excel VBA, SQL Basic skill in using reporting tools such as Cognos Query Studio, Power BI and Tableau Strong interpersonal skills and client oriented Self-motivated, focused, detail-oriented More ❯

experience as a Product Manager, preferably in backend, data platforms, or infrastructure-heavy products Very good technical data skills, including hands-on experience in SQL Experience with Python or R (mandatory) for understanding and working closely with data teams; familiarity with data visualization/BI tools is a plus Comfort with backend concepts such as data pipelines, APIs, distributed systems More ❯

Tableau Skills will be assessed as part of the recruitment process through a test on the day of the interview) knowledge of programming languages such as SQL, Python, or R, and familiarity with big data technologies Communication and collaboration: Excellent communication skills to effectively present findings and recommendations to both technical and non-technical stakeholders. Experience working in cross-functional More ❯

development staff Work global market hours for a portion of every year on a rotational basis Requirements: Demonstrated passion for markets Proficiency in a programming language like Python or R Experience using a Unix-like terminal/CLI/shell scripting Familiarity with SQL (MS SQL, MysQL, PostgreSql) and ETL pipelines a plus Academic or practical familiarity with statistics A 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 ❯

labeling experts and technical teams Required Qualifications Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics Tools More ❯