46 to 70 of 1,671 R Jobs in England

aim of developing analytic solutions which provide insight and optimisation of our businesses performance in a safe and efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach for the nature of problems … relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/R/SQL This role may not be eligible for visa sponsorship Qualifications Desirable Qualifications Experience in UI/UX design We rely on every employee to ensure our customers receive More ❯

will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions that drive business strategy, improve customer experience, and enhance operational efficiency. … of 5 years of experience in data science or a related field Extensive knowledge of advanced statistical analysis and machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise in data visualisation tools such as Tableau or Power BI Proven track record of More ❯

dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency in programming languages such as Python , R or Scala. Experience with infrastructure technologies (e.g., Snowflake). SQL Server 2016+ with Excellent T-SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills More ❯

customer experience and satisfaction insights. What you can bring: Degree in relevant field (finance, maths, physics, or similar). Additional qualifications (MBA, CFA) are a plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. More ❯

customer experience and satisfaction insights. What you can bring: Degree in relevant field (finance, maths, physics, or similar). Additional qualifications (MBA, CFA) are a plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. 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 ❯

the data under analysis. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including model lifecycle management, CI/CD for More ❯

see from you: Proficiency in SQL, advanced Excel, and data visualisation tools like Power BI or Tableau. Strong experience in statistical analysis and programming using tools like Python or R for advanced data manipulation, automation, and analysis. Exceptional ability to identify trends, provide actionable insights, and contribute to strategic decision-making. Experience in senior or leadership data analyst role. Experience More ❯

side dynamics in the digital advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data tools (e.g., Spark, Snowflake). Exceptional leadership, project management, and interpersonal skills with More ❯

predictive and prescriptive models using Azure ML Studio and Azure DevOps. Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards and web applications using Power BI, R Shiny, or Python Flask. MLOps Maintenance: Maintain and enhance MLOps pipelines, focusing on model robustness and performance. Project Tracking: Manage code and project tracking using Git and Azure DevOps Boards … model deployment, preferably with Azure ML Studio. MLOps Proficiency: Strong understanding of pipeline management and model versioning. Data Manipulation Skills: Expertise in data extraction, transformation, and reshaping using SQL, R/Tidyverse, and Python/Pandas. visualisation Expertise: Experience with data visualisation tools and frameworks such as Power BI, R Shiny, and Python Flask. Agile Methodology: Familiarity with Git and More ❯

network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience … in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications - Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g. More ❯

distributed systems, including both Hadoop, Hive/SQL and Apache Spark Proficiency in creating reproducible analytic pipelines One or more data analytics/programming tools such as Python and R Proficiency with version control systems like (e.g. git, GitHub, etc) Data visualization using Tableau, Power BI or R/Python Additional Information Visa is an EEO Employer. Qualified applicants will 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 ❯

and regeneration ambitions. Reporting to the Assistant Director for Equity, Joint Ventures and Partnerships, you will: Lead the development and management of portfolio analytics tools and databases (e.g., Python, R, SQL, Tableau) to enable robust financial analysis and risk management. Support business planning across the Agency and Investment Directorate, ensuring effective financial planning and resource allocation. Drive data visualisation and … and regeneration ambitions. Reporting to the Assistant Director for Equity, Joint Ventures and Partnerships, you will: Lead the development and management of portfolio analytics tools and databases (e.g., Python, R, SQL, Tableau) to enable robust financial analysis and risk management. Support business planning across the Agency and Investment Directorate, ensuring effective financial planning and resource allocation. Drive data visualisation and … understanding of investment principles, risk management, and regulatory and governance requirements Portfolio management/Fund management Data analysis and asset management tools and software, such as Power BI, Python, R, SQL,Tableau etc. Ability to convey complex information to diverse audiences. Management skills, with a track record of building and developing high-performing teams. Familiarity with machine learning/AI 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 ❯

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 ❯

years in data and analytics or a related discipline, with proven experience in product and stakeholder management. Technical Skills: Proficiency in data analytics tools (Power BI, Databricks, Tableau, Python, R, Fabric, Excel), and strong understanding of data architecture, governance, and quality principles. Leadership Skills: Demonstrated ability to lead and inspire a team, with excellent interpersonal and communication skills. Analytical Skills More ❯

Looking For: Proven experience as a Data Scientist or in a similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus 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 ❯

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 ❯

AI/Machine Learning , Statistical Analysis , and Algorithm Design Strong experience in Data Lifecycle Management , Predictive Analytics , Data Governance , and Cloud Computing Proficient in Programming/Scripting (e.g., Python, R, SQL) and developing scalable data solutions Skilled in Data Commercialisation , KPI Design , Business Analysis , and Data Model Management Strong understanding of AI Ethics and responsible data use Proven ability to More ❯

teams and communicating complex ideas clearly. Technical Leadership & Strategy: Deep expertise in causal inference, uplift modeling, media mix modeling, LLM applications, and machine learning frameworks. Proficiency in SQL, Python, R; experience delivering scalable analytical solutions. Business Impact & Governance: Experience in data governance, privacy frameworks, and quality monitoring. Proven ability to implement enterprise BI tools like Power BI. Cross-Functional Leadership More ❯

or operations research 4+ years of professional data science experience, with a proven track record of translating business problems into data science solutions Proficiency and knowledge of: Python and R, SQL and NoSQL databases (e.g. MongoDB) and Deep understanding and hands-on experience with a variety of data science tools and concepts, such as machine learning, causal inference, optimisation, natural 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 ❯