26 to 50 of 931 R Jobs in England

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 ❯

to become aData Analytics Graduate: A minimum 2:1 degree in Data Science, Statistics, Computer Science, Maths, or a related field. Familiarity with data analysis coding languages like Python, R, or SQL. A keen interest in learning visualisation tools such as Tableau or PowerBI. Strong communication skills, with the ability to influence and build relationships. Analytical thinking anda knack for More ❯

at the level of a qualified UK actuary (Fellow of IFoA preferred) Minimum 5 years of relevant actuarial experience with strong focus on pricing and modelling Programming skills in R and/or Python Experience with technical platforms, pricing systems, or analytical infrastructure Experience with modern data architecture, APIs, and cloud-based solutions Project management skills with ability to lead 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 ❯

data and analytics. Strong attention to detail that is focussed on data quality, accuracy, and completeness Intermediate to advanced skills in data and visualisation tools such as SQL, Python, R (including R Studio), Excel, Power BI, and Domo. Exposure to working in the Microsoft Fabric ecosystem is advantageous Excellent communication, stakeholder engagement, and problem-solving skills. Able to translate technical 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 ❯

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 ❯

teams to develop scalable business processes and data pipelines to support our clients • Develop data models, analytics and reporting using capabilities such as Legend Studio, Snowflake, Alteryx, SQL, Tableau, R, Python • Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. BASIC QUALIFICATIONS • Minimum of 4 years of experience in Business Intelligence, Data Engineering or Data Analytics fields More ❯

queries. Proficiency in optimising database queries, pipelines, and storage for speed, scalability, and cost-efficiency. Skilled in using Git. Experience Essential At least 3 years industry experience. Experience in R programming language. Experience in Python programming language. Experience in designing, building and maintaining data pipelines. Experience with data warehousing and data lakes. Experience in developing and maintaining ETL processes. Experience More ❯

queries joining multiple datasets, ETL DW concepts - Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) - Experience scripting for automation (e.g., Python, Perl, Ruby) - Experience using Python or R for data analysis or statistical tools such as SAS - Experience using statistical tools such as Minitab - Experience with reporting and Data Visualization tools such as Quick Sight/Tableau/ More ❯

Expertise Advanced knowledge of AI/ML technologies, automation tools, and analytics platforms Strong understanding of data integration, pipelines, and cloud-based workflows Proficiency in programming languages (e.g., Python, R, SQL) and data visualisation tools Leadership Skills Exceptional leadership, project management, and team-building capabilities Strategic thinker with a hands-on approach to problem-solving Excellent communication skills, with the 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 ❯

analytics solutions. Proven ability to create and deliver presentations to audiences at all organizational levels. Excellent verbal and written communication skills. Proficiency with analytics tools such as SAS, Python, R, SQL, or similar. Demonstrated expertise in stakeholder management and strong influencing skills Ability to bridge the gap between development teams and business stakeholders by effectively translating technical concepts to business More ❯

. Proven ability to create and deliver presentations to audiences at all organizational levels. Excellent verbal and written communication skills. Proficiency with reporting & analytics tools such as SAS, Python, R, SQL, Power-BI or similar. Demonstrated expertise in stakeholder management and strong influencing skills Ability to bridge the gap between development teams and business stakeholders by effectively translating technical concepts More ❯

Data Scientist ( R ) - Manchester Based Our award winning SaaS client who offer local authority management software that utilises digital technology, behavioural insights and data science to build trust, drive efficiencies and maximise revenue is looking for a Data Scientist to join their growing function. You will take over their new product delivery with your experience to time scale and moving … Level 3 support activities. Essential knowledge: The ability to write valid and efficient SQL queries Software application development in a Software Product environment 2+ years' experience of developing in R with RStudio/Posit. Please note: prior R experience is mandatory 2+ years' experience of working on modelling & API code Development in an RDBMS environment such as MySQL, SQL Server … etc. R & RStudio/Posit If this role sounds like your next career move please click "APPLY" OR Email Data Scientist - R Position Our Client Our client is a pioneering Technology company renowned for its dedication to innovation in the data realm. With a vibrant team of experts committed to propelling the digital transformation wave, they seek a talented and More ❯

the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly … strategy through experimentation, exploratory analysis and quantitative research You'll build and automate actionable models and dashboards You'll craft data stories and share your findings and recommendations across R&D and the broader company You'll drive and shape core RAD foundations and help us improve how the RAD org operates What skills do I need? 5 + years … technical and non-technical) and a focus on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Experience with a scientific computing language (such as R or Python) Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to More ❯

or Google Cloud Knowledge of credit risk, utilities, or financial services is a bonus A degree (or equivalent experience) in a data-focused subject, with skills in Python or R as a nice-to-have for data modelling and visualisation What's in it for you? Competitive salary from £48,000 to £55,000 per annum 26 days holiday per … a difference and getting us to where we want to be in the years and decades to come. Learn more about our purpose and values Working at Thames Wate r Thames Water is a unique, rewarding, and diverse place to work, where every day you can make a difference, yet no day is the same. As part of our family More ❯

development, to understand data needs and deliver solutions. Support decision-making processes by providing timely and accurate data insights. Skills Required: Proficiency in data analytics tools such as Python, R, or SQL. 2+ years hands-on experience with data visualization platforms Tableau, Power BI, or Excel. Ability to manage multiple projects and meet deadlines. Excellent communication skills, with the ability More ❯