1 to 25 of 27 Permanent R Jobs in Manchester

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 ❯

field, with 2+ years in a leadership role Advanced knowledge of statistical analysis and machine learning techniques Proficiency in programming languages such as Python, R, or SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise in data visualisation tools such as Tableau or Power 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 ❯

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 ❯

in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home 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 ❯

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 ❯

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 ❯

coastal water quality modeller Apply locations GB.Manchester.Piccadilly GB.Bristol.The Hub GB.Peterborough.Western House time type Full time posted on Posted 2 Days Ago job requisition id R-129684 Job Description Senior coastal water quality modeller (flexible on location) This position is available as either full-time or part-time and can be More ❯

Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders Requirements: Proficiency in data science techniques using Python or R Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable Strong understanding of pricing and underwriting principles, preferably within More ❯

Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders Requirements: Proficiency in data science techniques using Python or R Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable Strong understanding of pricing and underwriting principles, preferably within More ❯

Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders Requirements: Proficiency in data science techniques using Python or R Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable Strong understanding of pricing and underwriting principles, preferably within More ❯

Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders Requirements: Proficiency in data science techniques using Python or R Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable Strong understanding of pricing and underwriting principles, preferably within More ❯

Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders Requirements: Proficiency in data science techniques using Python or R Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable Strong understanding of pricing and underwriting principles, preferably within More ❯

Requisition ID: R Category: Engineering Location: London, London, United Kingdom Cheltenham, Gloucestershire, United Kingdom Manchester, Manchester, United Kingdom Clearance Type: Highest Level of Government Clearance Telecommute: Yes-May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: £92,000 - £138,000 Closing More ❯

Senior Manufacturing Quality Manager page is loaded Senior Manufacturing Quality Manager Apply locations Manchester posted on Posted 6 Days Ago job requisition id R- Nexperia aspires to become a $10b turnover business by 2030. This ambition can be achieved through our next-generation technologies, ongoing improvement in manufacturing sustainability, state More ❯

address customer needs. Communicate complex data insights clearly and effectively to both technical and non-technical audiences. Work with various datasets, utilizing tools like R, Python, SQL, and statistical software to derive actionable insights. Contribute to data visualization efforts and support decision-making by translating data into business value. Continuously … learning, data science, AI, and a passion for innovative applications. Strong programming skills or the ability to quickly learn new technologies, with experience in R, Python, or similar tools being a plus. Familiarity with relational databases and intermediate-level SQL knowledge. A solid understanding of a broad range of statistical More ❯

all financial modelling and forecasting to enhance decision making, deliver more targeted acquisition, and deliver profitable growth. Tools wise they are using SQL, Python & R, so you should ideally have strong experience in these areas, especially SQL Any experience of Machine Learning would be a big advantage as this is … so something that will huge for them in the coming years Experience required Proven predictive modelling, forecasting and analytical experience with strong SQL, Python & R skills Some awareness of Machine Learning and the advantages of using machine learning to increase efficiency in the data moving forward Experience with ecommerce is More ❯

Deliver high-quality programming solutions for real-world data projects in a collaborative FSP-style setup. Create and validate analysis datasets and outputs using R (preferred), SQL (or SAS Proc SQL), and SAS . Tackle data challenges using structured, creative approaches, working with real-world datasets. Contribute to shaping best … as needed. Beneficial Experience: 4–8 years’ experience as a statistical programmer, with exposure to RWE or observational data. Strong hands-on experience in R and/or SQL/Proc SQL/SAS Comfortable working independently with real-world datasets (EHR, claims data, registries, etc.) A BSc (or higher More ❯

Deliver high-quality programming solutions for real-world data projects in a collaborative FSP-style setup. Create and validate analysis datasets and outputs using R (preferred), SQL (or SAS Proc SQL), and SAS . Tackle data challenges using structured, creative approaches, working with real-world datasets. Contribute to shaping best … as needed. Beneficial Experience: 4–8 years’ experience as a statistical programmer, with exposure to RWE or observational data. Strong hands-on experience in R and/or SQL/Proc SQL/SAS Comfortable working independently with real-world datasets (EHR, claims data, registries, etc.) A BSc (or higher More ❯

Deliver high-quality programming solutions for real-world data projects in a collaborative FSP-style setup. Create and validate analysis datasets and outputs using R (preferred), SQL (or SAS Proc SQL), and SAS . Tackle data challenges using structured, creative approaches, working with real-world datasets. Contribute to shaping best … as needed. Beneficial Experience: 4–8 years’ experience as a statistical programmer, with exposure to RWE or observational data. Strong hands-on experience in R and/or SQL/Proc SQL/SAS Comfortable working independently with real-world datasets (EHR, claims data, registries, etc.) A BSc (or higher More ❯