1 to 25 of 550 R Jobs in London

NHS Foundation Trust. You will evaluate and redesign care pathways, applying advanced analytics (e.g., regression modelling, risk stratification) to tackle health inequalities and improve outcomes. Using tools like Python, R, SQL, and Power BI, you will extract and analyse data from multiple care settings to produce actionable insights, support prevention, and drive evidence-based decision-making. You'll also design … Proven expertise in working with large, complex, and multi-source datasets. Track record of influencing decisions at senior level through high-impact analysis and visualisation. Expert proficiency in SQL, R, Python, Excel, Power BI or Tableau. Skilled in segmentation, stratification, equity analysis, and predictive analytics. Excellent project and stakeholder management, with ability to lead multiple complex streams simultaneously Experience in … understanding and application of data science and statistical techniques to healthcare data. Ability to manage a technical product lifecycle, including through end-user feedback and testing Desirable Experience in R and in Javascript Proficiency using DBT +/- Snowflake +/- Azure Personal Behavoirs Essential Proven experience in the ability to interact with colleagues at all levels both clinical and More ❯

Job Description Job Role : Data & AI Consultant - R&D Location: London/Manchester/Edinburgh Career Level : Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise … discover, develop, and bring therapies to patients. At Accenture, we sit at the heart of this evolution-partnering with the world's leading pharmaceutical and biotech companies to reimagine R&D for a more predictive, efficient, and patient-focused future. Our Data & AI R&D team within the Strategy & Consulting practice is driving this change-combining deep scientific and clinical … who want to make real impact and shape the next generation of clinical innovation. In Our Team, You Will Gain Exposure To: The most strategic challenges in Life Sciences R&D, from improving trial recruitment and feasibility to optimizing global portfolio strategy Industry-leading AI platforms - such as our Faculty partnership- that simulate clinical trial scenarios and guide complex R More ❯

and problem-solving skills while gaining experience in a fast-paced, data-driven environment. What You'll Do Data Analysis & BI Development Perform data analysis using SQL, Python/R, and visualisation tools such as Power BI. Assist in building and maintaining dashboards and reports to support business and client needs. Identify trends and patterns in data to provide actionable … business value. Our Ideal Candidate Some experience in data analysis or a related field (internships, coursework, or entry-level roles). Proficiency in SQL and familiarity with Python/R for data analysis. Experience with data visualisation tools like Power BI is a plus. Strong analytical and problem-solving skills, with a keen eye for detail. Effective written and verbal More ❯

financial data providers). Work closely with data engineers to implement and optimise data pipelines within the Azure Databricks environment. Ensure data is readily available for modelling runtimes (Python, R, MATLAB). Data Governance & Quality: Establish and enforce data governance policies, standards, and procedures. Define data quality metrics and implement data quality monitoring processes. Ensure compliance with relevant data privacy More ❯

data. Data Management Maintains and ensures the accuracy of internal and external data sources. Collaborates with multiple departments to align data insights with business goals. Uses SQL, Python, or R to extract, manipulate, and analyse data from various systems. Supports data mapping, cleansing, validation, and system migration activities. Develops and executes test plans to ensure data reliability and reporting integrity. … and work to tight deadlines Desirable Experience & Skills Experience within the student accommodation, property, or hospitality sectors. Understanding of revenue management or dynamic pricing strategies. Proficiency in Python or R for automation or advanced data modelling. Familiarity with CRM or property management systems such as Entrata, StarRez, Salesforce, or Hubspot. Personal Attributes A proactive, self-motivated individual who thrives in More ❯

Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR More ❯

learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx, Jupyter notebook, R Markdown, TensorFlow, Keras, Pytorch etc. Practical expertise in producing reproducible code and pipelines including More ❯

Science, Mathematics, Computer Science, Statistics, or a related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn More ❯

Science, Mathematics, Computer Science, Statistics, or a related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn More ❯

law and that we are upholding our values and ethics in how we use data. Skills and Knowledge Analysis of structure, semi-structured and unstructured data Programming - SQL, Python, R, Julia AI/ML ethics Understanding of Data Governance concepts and best practice Quick understanding of business problems and requirements A willingness to learn new skills and adopt to new More ❯

impactful data-driven solutions with a commercial and customer focus. Expertise in developing predictive modelling, statistical analysis, and machine learning. A basic understanding of programming languages such as Python, R, or SQL. Hands-on experience with data visualization tools like Tableau. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Creative thinker with a proactive, results-oriented More ❯

business objectives Degree in Business Analytics or Technology, Computer Science, Math, Statistics or equivalent experience You will need to have: Proficiency in SQL, Tableau (or other Visualisation tool) and R or Python. Deep expertise in the analysis of traffic across a wide variety of digital channels, and the production of complex attribution models that go far beyond final click Demonstrated … knowledge of applied statistical methods or automation using R, Python (or similar) Ability to share knowledge or mentor other members of the team on usage of these tools Strong communication skills with senior stakeholders across different departments The above list of duties is not exclusive or exhaustive and the post holder will be required to undertake tasks that are reasonably More ❯

SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting structures Knowledge of programming languages such as Python or R for data manipulation and analysis Strong analytical and problem-solving skills, with attention to detail Excellent communication and interpersonal skills for collaborating with cross-functional teams Requirements achelor's degree More ❯

and fast-paced problem-solving. What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. More ❯

and fast-paced problem-solving. What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. More ❯

a great Grayce Analyst: 2:1 Undergraduate Degree: In a STEM field, with a solid academic basis in data analysis; MSc is a plus. Data Tools: Experience with Excel, R, SQL, or Python is essential. Experience with Tableau or Power BI is advantageous. Analytical Problem Solving: Ability to spot patterns, think creatively, and dissect complex issues. Soft Skills: Effective communication More ❯

London, UK time type Full time posted on Posted 2 Days Ago time left to apply End Date: July 21, 2025 (11 days left to apply) job requisition id R Job Description Summary Job Description Principal Data Analytics Engineer Permanent Location: London (We believe in the power of in-person collaboration, and our hybrid model requires colleagues to be in More ❯

and Experience • 5+ Years of professional experience • 3+ Years of experience of RevOps at a SaaS company experience • Proficiency in SQL and at least one statistical programming language (Python, R, etc.) • Experience with Power BI, Tableau or any other equivalent data visualization tool Behavioural Expectations • Strong background in bringing data to life for decision makers • Ability to work in a More ❯

5+ Years of professional experience • 3+ Years of experience of Customer Success Ops at a SaaS company experience • Proficiency in SQL and at least one statistical programming language (Python, R, etc.) • Strong proficiency in SQL, Excel, and BI tools (e.g., Tableau, Power BI, Looker) • Experience with Customer Success platforms (Gainsight, HubSpot Service, Salesforce Service, etc.) Behavioural Expectations • Strong background in More ❯

business intelligence, or a related field, preferably within the pharmaceutical or healthcare industry. Strong analytical and problem-solving skills. Proficiency in data analytics tools and software (e.g., SQL, Python, R, Tableau, Power BI). Excellent communication and presentation skills. Ability to translate complex data into actionable insights. Strong project management and organizational skills. Experience with data governance and data quality More ❯

of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯

of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯

role if you have some of the following Proven experience in AI and machine learning, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience More ❯

role if you have some of the following Proven experience in AI and machine learning, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience More ❯

of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯