1 to 25 of 59 R Jobs in the North of England

time left to apply End Date: May 16, 2025 (6 days left to apply) job requisition id R-058723 Job Title Data Science Manager Job Title Data Science Manager Location Asda House Employment Type Full time Contract Type Permanent Hours Per Week 37.5 Salary Competitive salary plus benefits Category Data More ❯

or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Python, R, and Excel. Experience with data visualisation tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to More ❯

Key Requirements: Proven experience (5+ years) in a data science role, preferably in the retail or e-commerce sector. Strong proficiency in Python or R, SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine More ❯

Key Requirements: Proven experience (5+ years) in a data science role, preferably in the retail or e-commerce sector. Strong proficiency in Python or R, SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine More ❯

like S3, Lambda, and MSK. AI Tools: Familiarity with AI-driven tools such as ThoughtSpot or Amazon QuickSight. Programming Languages: Familiarity with Python or R for data manipulation and analysis. Big Data Technologies: Experience with big data technologies like Hadoop or Spark. Data Governance: Understanding of data governance and data More ❯

time left to apply End Date: May 16, 2025 (6 days left to apply) job requisition id R-058719 Job Title Senior Data Scientist Job Title Senior Data Scientist Location Asda House Employment Type Full time Contract Type Permanent Hours Per Week 37.5 Salary Competitive salary plus benefits. Category Data More ❯

will use, store and share your information. time left to apply End Date: May 21, 2025 (12 days left to apply) job requisition id R Job Description: Senior Product Analyst Flexible On Location: Manchester, London or Staines Hybrid - Up To 3 Days WFH Permanent Full time (37.5 Hours) We consider More ❯

stakeholders and influence through data-driven insights. Technical: Proficient in Alteryx, Power BI, SAP Analytics Cloud; experienced with Snowflake and data modelling; familiarity with R and Python highly desirable. Financial Services: Experience working in a Finance firm, preferably Wealth Manager/Private Bank/Hedge Fund. Required Qualifications: Applicable Degree More ❯

working in Agile teams A passion for data and a collaborative approach to problem-solving Bonus: Exposure to AWS (e.g. S3, Lambda), Python or R, or tools like Amazon QuickSight or ThoughtSpot Familiarity with big data tools and data governance frameworks If you’re on the market for a new More ❯

predictive modelling, and optimisation algorithms. · Familiarity with Microsoft Excel is essential, and knowledge of other tools and techniques such as MS SQL Server, Python, R, Microsoft Power BI, Linear programming and other optimisation techniques and technologies will be a further advantage. · Excellent communication and interpersonal skills, with the ability to More ❯

and stakeholder manager. Desirable: - Experience in digital, audio, or media sectors. - Familiarity with A/B testing or statistical methods. - Exposure to Python or R for analytics or statistical testing. - Understanding of CRM or marketing tools (Braze, HubSpot) or attribution modelling. Benefits: - Up to £60,000 salary - Hybrid working from More ❯

and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks. Experience in one or more of the listed Languages or Packages: Python, R, Pyspark, Scala, PowerBI, Tableau. Proven experience in successfully delivering multiple complex data rich workstreams in parallel to supporting wider strategic ambitions and supporting others in More ❯

Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient More ❯

Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW’s Radar software is preferred. More ❯

Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW's Radar software is preferred. More ❯

Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient More ❯

live deployment of data science solutions Appreciation of policy and claims processes and conduct risks Knowledge of data science toolkits and languages, such as R, Python, Scala High performing experience in data science and data analysis Experience of utilising system integration techniques such as APIs, web services Understanding of a More ❯

techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Skills & Competencies: Must Have: Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Ability to work independently and lead projects from inception More ❯

Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Proven experience of modelling using WTW toolkit (Emblem and More ❯

software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW’s Radar software is preferred More ❯

software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW's Radar software is preferred More ❯

and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials, GCP, and GxP. What We Offer: Hybrid working More ❯

toward analytics, ML or architecture as you choose. About you 2‑3 years’ experience (or outstanding grad projects) in data engineering Solid Python or R plus SQL; comfortable with Spark/Databricks. STEM degree (CS, Math, Physics or similar). Curious, collaborative Interview Process Technical interview with head of engineering More ❯

or a related field. Proven experience in AI/ML development, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch). Strong problem-solving skills and the ability to work in a fast-paced More ❯

technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient More ❯