1 to 25 of 91 R Jobs in the Thames Valley

or a related field. Strong understanding of data architecture, data modeling, and data warehousing. Experience with machine learning frameworks and AI technologies. Proficiency in programming languages such as Python, R, or Java. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Preferred Qualifications: Master's degree in Computer More ❯

ability to work with large datasets and draw meaningful conclusions. Proficiency in SQL and at least one data visualisation tool (e.g. Power BI, Tableau, Looker). Experience with Python, R, or similar for data analysis is a strong plus. Familiarity with databases. Also, cloud platforms (AWS preferred) is a plus. Excellent communication skills - able to explain complex data concepts to More ❯

e.g., STEM, Maths, Statistics, Physics) or equivalent experience. Experience in an analytical role, preferably within the gambling or gaming industry. Proficiency in SQL and at least one of Python, R, or SAS. Knowledge of data visualization tools, preferably PowerBI. Ability to analyze large datasets and translate findings into actionable insights. Strong communication, collaboration, and presentation skills to convey complex information More ❯

s degree in Human Resources, Business Analytics, Statistics, Data Science, or a related field. Experience with HRIS systems ideally Salesforce and Sage. Familiarity with statistical programming languages such as R or Python. Experience in developing and implementing predictive HR models. Knowledge of data privacy regulations (e.g., GDPR) Management Duties No We are an equal opportunity employer, and we are proud More ❯

informatics, computer science, clinical artificial intelligence, environmental epidemiology, climate data sciences, earth observation, public health geography, or a similar field. You must have demonstrable advanced skills in programming in R, Python, SQL, and/or similar languages, alongside experience in version control (e.g., Git) and a working knowledge of Docker and HuggingFace. Additionally, you will have demonstrable experience in data … visualization and creating digital tools and dashboards using R Shiny, Power BI, Tableau, or similar. You must have advanced taught or demonstrated skills in cleaning and analysing satellite-derived data analysis products and GIS data. Experience in the analysis of routinely collected (aka 'real world') health and climate data, including but not limited to epidemiological, meteorological, environmental, and earth observation More ❯

in Data Analytics, Engineering, Computer Science, or related discipline (or equivalent experience). Desirable Skills: Knowledge of Power Platform (Power Automate, Power Apps). Experience with Azure, Python, or R for advanced analytics. Exposure to BIM, digital twin, or smart infrastructure technologies. To discuss in more detail please call Billy Mitchell at Advance TRS, or apply directly. We are an More ❯

with face-to-face sessions at our Oxford office. Over the course of three months , you will gain proficiency in cutting-edge data tools and programming languages, including SAS, R, Python, SAS-SQL, as well as business soft skills, alongside Power BI, and training in Cloud Computing including Azure Data Fundamentals SAS is a powerful software suite used for advanced … widely used across industries for advanced data analysis, enhancing your employability and career prospects. You'll also enhance your business acumen through engaging case studies and professional development workshops. R and Python each have their unique strengths. R excels in statistical analysis and data visualisation, offering powerful libraries for complex modelling. Python, on the other hand, is versatile and integrates More ❯

time. Communicate complex analytical findings in clear, actionable terms for stakeholders across the business. YOUR SKILLS AND EXPERIENCE: The ideal Senior Data Analyst will have: Proficiency in Python or R , with hands-on experience building analytical models. Strong knowledge of statistical techniques , from regressions to machine learning algorithms. Excellent SQL and data manipulation skills , with experience working on large, complex More ❯

recognised certifications. What Makes a Great Grayce Analyst: A minimum 2:1 undergraduate degree in a STEM field; an MSc is an advantage. Experience with tools such as Excel, R, SQL, or Python; familiarity with Tableau or Power BI is a plus. Strong analytical and creative problem-solving skills. Effective communication, planning, organisation, and a continuous learning mindset. Stakeholder and More ❯

data science or analytics Experience building machine learning models and analyzing data Background in designing experiments or solving real-world problems with data Strong coding skills in Python or R (R is a plus) Experience writing SQL and working with databases Comfortable with data visualization tools Strong communication and problem-solving skills Ability to juggle multiple projects and manage your More ❯

Successful Applicant A degree in Finance, Data Analytics, or a related field (preferred) Strong data visualisation skills (Power BI, Tableau) Solid SQL and database knowledge Experience with Python or R for financial automation and analysis Advanced Excel skills , including financial modelling and VBA Understanding of ETL processes to clean and merge data Familiarity with SAP or similar financial systems Great More ❯

Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please More ❯

strategy. What They’re Looking For Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical More ❯

tools is highly advantageous. Experience supporting ECB onboarding and regulatory change initiatives. Knowledge of data visualisation tools such as Power BI , Tableau , or Qlik . Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory frameworks. #J-18808-Ljbffr More ❯

qualifications At least 3 years of experience in Data Management, Biostatistics, and Centralized Monitoring At least 2 years of experience in SAS and at least one of the following: R, Python, Jupyter, SQL, Shiny, Spark and associated packages and libraries Full professional proficiency in English Strong analytical and logical thinking Communication and collaboration skills Nice to have: Experience with CluePoints More ❯

quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to present complex data insights to non-technical stakeholders. • Willingness More ❯

data science projects, from hypothesis to deployment. Drive innovation in 24/7 production environments. Support scenario planning and forecasting for Commercial teams. Ideal Skills: Strong skills in Python, R, statistical modeling, and data tools. Experience in pricing/yield optimization in marketplaces (e.g., travel, insurance, media). Expertise in forecasting and optimization in discrete choice settings. Agile mindset with More ❯

Analytics team Collaborate closely with colleagues and clients to resolve complex issues based on the analysis of large and complex datasets Conduct empirical and quantitative analysis in Excel, Stata, R and/or Python, with a focuson advanced methods in econometrics and machine learning Write reports, presentations and articles, independently or in conjunction with others We’re looking for: An … component, with a minimum of 2:1 UK or its equivalent A solid background in econometrics, machine learning and statistical programming (desirable) Knowledge of programming languages such as Stata, R or Python Problem-solving and analytical skills A collaborative team player approach Fluency in spoken and written English. An additional European language is desirable, and is a requirement for those More ❯

and clearly to both technical and non-technical stakeholders What We’re Looking For 4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) A passion for social More ❯

is a plus Understanding of data management best practices, including profiling, sourcing, and cleansing routines with data quality functions Knowledge of Databricks, Snowflake, Azure/AWS/Oracle Cloud, R, and Python Company Description Version 1 has over 28 years in Technology Services, trusted by global brands. We partner with Microsoft, AWS, Oracle, Red Hat, OutSystems, and Snowflake. Recognized as More ❯

performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Qualifications Proficient in SQL, VBA, R or similar programming languages Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Strong knowledge of and More ❯

Operational Research, Statistics, or Econometrics A relevant Master’s degree is a strong advantage Advanced Microsoft Excel skills (essential) Experience managing large datasets using tools such as SAS, Stata, R, or Python Strong communication skills and attention to detail Comfortable working directly with clients and partners to obtain, validate, and interpret data If this sounds like the role for you More ❯

/AI IDEs & notebooks. Git & GitHub (or similar) Production: Serving to APIs, e.g. Streamlit, Dash Production particularly MLOps/LLMOps Good To Have Skills Fabric Copilot, Copilot Studio PySpark, R, Julia Databricks CRM familiarity, e.g. Salesforce Able to learn new skills on the fly, staying topical in a rapidly evolving field Innovating new products Microsoft Azure Data Scientist Associate (DP More ❯

Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media More ❯

role involving complex data analysis, modelling, or product development (e.g. in energy, software, finance, or consulting) Proficiency in at least one programming language commonly used for analysis (e.g. Python, R, MATLAB) Demonstrated ability to analyse, interpret, and explain the behaviour of complex systems or models Strong interest in energy and power markets Evidence of strong performance in team-oriented environments More ❯