101 to 125 of 4,157 R Jobs

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 More ❯

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 More ❯

BI. Continual professional development in the latest developments in Data Science. The shaping and delivery of data strategies. Strong skills in SQL, Python or R for data analysis and model development. Competent user of visualisation and data manipulation tools. This is a great time to join an organisation going through More ❯

Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python or R, or GitHub is a plus. Development experience with BI platforms such as Looker, Tableau, or Power BI. Strong and confident communication skills, with expertise in More ❯

assistance programme Career progression with support Onsite parking and excellent transport links About You Expertise in SQL, Azure Data Factory, Azure Databricks, Azure Synapse, R, Python, Power BI Strong data science portfolio demonstrating machine learning and analytics skills Excellent communication skills for diverse audiences and translating business needs into technical More ❯

a fast-paced environment. Preferred qualifications Experience with SQL for data extraction and ETL pipelines. Visualization tools experience: Quicksight, Tableau, or similar. Scripting experience: R, Python, or C++. Optional: Experience with AWS solutions like S3, Athena, Sagemaker. Amazon is an equal opportunity employer committed to diversity. We value your passion More ❯

Auto industries is a distinct advantage, along with the relevant security clearance. Proficiency in data manipulation, statistical analysis, and data modelling tools (e.g., Python, R, SQL, Tableau, Power BI). Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders. Strong leadership and people More ❯

payments industry. Expertise: Strong understanding of graph databases, graph algorithms, and graph analytics techniques. Technical Skills: Proficiency in programming languages such as Python or R, with experience using Spark for large-scale data processing and machine learning. Communication: Excellent communication skills with the ability to explain complex models to technical More ❯

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. More ❯

years of experience as a Business Analyst, Data Analyst, or a hybrid role combining both. Technical Skills: Proficiency with SQL, Excel (advanced), Python, or R for data analysis. Experience with Power BI, Tableau, or similar data visualization tools. Knowledge of ETL processes and familiarity with data warehousing concepts. Strong understanding More ❯

and tools. You have knowledge of database management systems (e.g., BigQuery, MySQL). You have experience working with programming languages such as Python or R for data analysis and manipulation. You have experience in data visualisation tools such as Tableau, Looker, Power BI, or similar, and you have knowledge of More ❯

with high accuracy and reliability. Experience querying large datasets, SQL databases, and managing data in Microsoft Dynamics 365 or Dataverse. Proficiency in Python and R for data manipulation and analysis. Experience with Power BI or Tableau for visualizations. Awareness of machine learning algorithms and AI tools. Knowledge of data cleansing More ❯

Data Science, Mathematics, Finance, or Business with a preferred focus on Econometrics Familiar with data analysis/visualisation tools such as SAS, Python, SQL, R, Stata, and Power BI Proficient in statistical analysis/data science techniques: particularly time series modelling, regression analysis, scenario analysis, etc. Can formulate a hypothesis More ❯

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 More ❯

Understanding of statistical principles related to sampling, bias, inference and prediction. Ability to solve problems considering all constraints, context and risks. Solid knowledge of R or Python and related packages for data processing, visualisation and analysis. Awareness of techniques for querying and processing large data sets (Spark, SQL) and big More ❯

and influence stakeholders from across the business Strong analysis and SQL abilities using Big Query or similar, with the ability to program using Python, R or similar. Strong experience using digital analytics tools such as Google Analytics. Experience with Power BI or other relative visualisation tool. Proficiency withExcel and PowerPoint. More ❯

supply chain software like SAP IBP, SAP APO, and SAP ECC. Technical Skills : Proficient in SQL, with strong preference for experience in Python or R; exposure to automation tools (RPA) is preferred. Agile Methodologies : Experience in Agile (certifications preferred), with a track record of leading scrums and supporting delivery teams. More ❯

to the IRC Way – IRC Global Standards for Professional Conduct. PERSON SPECIFICATION Skills and Competencies: 3+ years in data analytics. Experience with SQL, Python, R, Tableau, Power BI. Proven ability to manage complex analytics projects. Strong analytical and problem-solving skills. Excellent data visualization and storytelling abilities. Ability to work More ❯

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 More ❯

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 More ❯

and Experience: - 3+ years as a Data Analyst or Business Intelligence Analyst, preferably in B2B, automotive, or marketplace platforms. - Expertise in SQL, Python/R for data manipulation, and visualisation tools (Power BI, Tableau). - Experience with Salesforce data models and CRM analytics. - Strong storytelling skills: Ability to translate data More ❯

academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are More ❯

academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are More ❯

academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL, or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are More ❯

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 More ❯