1 to 25 of 954 R Jobs in the UK

plus. Proven experience (3+ years) as a Data Scientist, Machine Learning Engineer, or similar role. Strong proficiency in programming languages such as Python or R for data analysis, with experience in libraries like pandas, NumPy, scikit-learn, and TensorFlow/PyTorch. Solid understanding of statistical analysis and experience in applying More ❯

apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): Ireland - R-009627 Switzerland - R-008441 Belgium - R-009623 Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as … deployment project plan. This role will also partner closely with design and build teams to define and align all key org and business changes, R&R, and new ways of working, ensuring these are integrated into the deployment change management plans. This individual must leverage a refined, multi-functional toolset … PMO, senior stakeholders, for both business functional teams as well as program and data operations leadership. Strong collaboration within MT SC, Finance, PLM, Commercial, R&D, Enterprise SC Data Governance leads to data integration. Ensure key business impacts and requirements are understood, designed and deployed in an integrated and effective More ❯

trees, and clustering algorithms. Proficient in machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras) for building and deploying predictive models. Proficient in Python, R, or similar programming languages for data analysis and machine learning. Experience with data manipulation and transformation tools such as Pandas, NumPy, and SQL for working More ❯

a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI, or similar to present complex data in a user More ❯

a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI, or similar to present complex data in a user More ❯

set objectives. Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI. Familiarity with programming languages like Python or R for data analysis. Experience with time-series databases and analytics platforms. Excellent analytical and problem-solving skills. Strong leadership and communication abilities. Ability to think More ❯

set objectives. Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI. Familiarity with programming languages like Python or R for data analysis. Experience with time-series databases and analytics platforms. Excellent analytical and problem-solving skills. Strong leadership and communication abilities. Ability to think More ❯

Computer Science, Aerospace Engineering, or related field 3+ years of experience applying data science techniques to aviation industry problems Strong programming skills in Python, R, or similar for data analysis Experience with machine learning libraries and frameworks (scikit-learn, TensorFlow, PyTorch) Proficiency in SQL and experience working with large, complex More ❯

and collaboration skills, with the ability to work effectively in a team-oriented environment. Preferred Skills: Experience with programming languages such as Python or R for data analysis. Knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing concepts. Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud More ❯

in data analysis or a related field, preferably within a retail business environment. Strong proficiency in data analysis tools and software (e.g., SQL, Python, R, Excel) and visualization tools (e.g., Power BI, Tableau). Excellent quantitative and qualitative analytical skills with a solid attention to detail. Strong verbal and written More ❯

quantitative field. 5+ years of experience in a BI or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency in SQL, R or Python, and BI tools (e.g., Power BI, Tableau). Strong understanding of statistical concepts and their practical applications. Demonstrated experience in managing large-scale More ❯

adoption of AI-driven strategies across BIC operations. Identify opportunities for AI integration to enhance BIC research processes. Use advanced analytics tools (e.g., Python, R, SQL, Tableau, Power BI) to analyse, visualize, and interpret data. Support efforts to continuously innovate and improve analytical processes using ML, ensuring the delivery of More ❯

an actuarial, data science, or similar analytical role, within the non-life insurance sector. Technical Skills : Strong proficiency in programming languages such as Python, R, or SQL. Experience with statistical analysis, machine learning algorithms, and data manipulation techniques. Familiarity with actuarial methods and tools (e.g., pricing, reserving, financial forecasting). More ❯

as a Data Analyst or similar role, preferably in the IT industry. Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS. Strong analytical skills with the ability to manipulate and interpret complex datasets. Experience with data visualization tools such as Tableau, Power BI, or More ❯

in data analysis or a related field, preferably within a retail business environment. Strong proficiency in data analysis tools and software (e.g., SQL, Python, R, Excel) and visualization tools (e.g., Power BI, Tableau). Excellent quantitative and qualitative analytical skills with a solid attention to detail. Strong verbal and written More ❯

focused role. Technical Skills Expertise in designing and deploying ML algorithms, AutoML tools, and AI applications. Proficiency with programming languages such as Python and R, and ML libraries (TensorFlow, PyTorch, scikit-learn). Hands-on experience with cloud platforms (Azure ML) and big data ecosystems (e.g., Hadoop, Spark). Strong More ❯

role with a strong focus on quality assurance of data and machine learning models. Strong experience with SQL and programming languages like Python or R for data analysis and pipeline development. Deep understanding of data modelling, data access, and data storage techniques. Familiarity with machine learning frameworks and data visualization More ❯

Bachelors with 8+ years of experience in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Operational research or equivalent). Experience in Python, R or another scripting language; command line/notebook usage. Knowledge and expertise with Data modelling skills, SQL, MySQL, and Databases (RDBMS, NOSQL). Extensive knowledge More ❯

if you have the following skills and experiences: Strong experience in machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data More ❯

if you have the following skills and experiences: Strong experience in machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data More ❯

experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data analysis tools such as Excel, SQL, Python, R, or similar. Experience with data visualization tools like Power BI, Tableau, or similar platforms. Knowledge of energy systems, environmental policies, and sustainability practices is a More ❯

data science, analytics, or a related field. Proven experience working with large datasets and statistical modeling. Proficiency in programming languages such as Python or R, with a strong understanding of object-oriented programming concepts. Experience in designing and implementing ETL pipelines, data warehousing, and data modeling. Experience with machine learning More ❯

a clear and compelling manner to non-technical audiences. Experience with financial services or consumer lending data would be advantageous. Familiarity with Python or R for data analysis is a plus but not essential. Highly organised, with strong attention to detail and a proactive problem-solving mindset. Benefits: Group Life More ❯

expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototypes using Python/R, and generating insights that enable senior leaders to make critical business decisions. The ideal candidate has experience providing guidance and support for other engineers with More ❯

and Finance to understand their data needs and provide relevant analyses. You'll have: Technical Proficiency: Strong skills in programming languages such as Python, R, and SQL. Experience with Cloud Services: Familiarity with AWS, Azure, or Google Cloud Platform. Data Visualization: Expertise in data visualization tools (e.g., Tableau, Power BI More ❯