51 to 75 of 1,804 Remote R Jobs

A/B testing and experimentation. Experience working with data warehouses and ETL pipelines. Experience with Power BI and DAX. Exposure to Python or R for data analysis. Experience in a product-driven or SaaS company. What we offer you Remote & flexible working - Work from wherever (and whenever) you are More ❯

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 More ❯

A/B testing and experimentation. Experience working with data warehouses and ETL pipelines. Experience with Power BI and DAX. Exposure to Python or R for data analysis. Experience in a product-driven or SaaS company. What we offer you Remote & flexible working – Work from wherever (and whenever) you are More ❯

the Microsoft Power Platform. Hands-on experience with SharePoint Online development and SPFx. Proficient in SQL and data modelling principles. Bonus: Familiarity with Python, R, ETL pipelines, and DevExpress controls. Comfortable working with Azure resources such as App Services, SQL DB, Blob Storage, and Data Factory. Experience using GitHub and More ❯

solving real-world problems. What You Bring Finance Fundamentals : Understanding of corporate finance, investment strategy, and financial modelling. Tech & AI Skills : Proficiency in Python, R, SQL; experience with machine learning and big data tools. Blockchain Know-How : Familiarity with DeFi, NFTs, tokenisation, and smart contract logic. Analytical Toolkit : Skilled with More ❯

HAVES Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of mentoring and coaching junior analysts, acting as More ❯

Criteria (please note that you don't need to meet all, or any, of the criteria listed below in order to apply) Previously used R, Tableau, Power BI, Qlik, Spotfire, etc. Certification in one of the major cloud services (AWS, Azure, Google Cloud Platform, etc.) Some knowledge/experience of More ❯

environment.+ Proven experience in designing and implementing machine learning models and data science solutions for clients.+ Strong proficiency in programming languages such as Python, R, and SQL.+ In-depth experience with data manipulation and visualization libraries (e.g., Pandas, NumPy, Matplotlib, etc.).+ Solid understanding of big data technologies (e.g., Hadoop More ❯

policy development. What you'll need to succeed Strong background in data analysis, statistics, or data science. Proficiency in tools such as SQL, Python, R, and Power BI or Tableau. Experience with predictive modelling and machine learning techniques. Excellent communication skills and the ability to translate technical insights into practical More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

cloud-based BI platforms (e.g., Azure Data Factory, Synapse Analytics). Familiarity with Lloyd's regulatory reporting and actuarial datasets. Exposure to Python or R for advanced analytics. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Technology, Information More ❯

Hands-On Experience You'll Need: 2+ years of experience working in data science or a related field. Proficiency in programming languages like Python, R, or SQL for data manipulation. Experience building machine learning models using libraries like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms like AWS, GCP More ❯

of Data Warehouse/Data Lake architectures and technologies. Strong working knowledge of a language for data analysis and scripting, such as Python, Pyspark, R, Java, or Scala. Experience with any of the following would be desirable but not essential; Microsoft’s Fabric data platform, Experience with ADF such as More ❯

cloud-based BI platforms (e.g., Azure Data Factory, Synapse Analytics). Familiarity with Lloyd's regulatory reporting and actuarial datasets. Exposure to Python or R for advanced analytics. Apply Now Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries More ❯

analytical problem-solving skills and interest in learning new techniques, including personal development At least 3 years of object-oriented programming experience in Python, R, or C++ Professional experience in database development using SQL (PostgreSQL, Oracle, SQL Server) Experience working in Windows and Linux/Unix environments, including shell scripting More ❯

preferred – MSc in Mathematics, Statistics, Computer Science, Econometrics, Marketing or other relevant fields Whilst not a prerequisite, candidates with experience in iGaming, Data Modelling, R, Python, will be given preference Familiarity with common statistical analysis concepts (e.g., standard deviation, percentile distribution, A/B testing, test vs. control group experimentation More ❯

three years of experience in data and analytics. Proficiency in SQL and some experience of at least one scripting language, such as Python or R, is essential, along with experience using business intelligence and data visualisation tools like Tableau, Power BI, or similar platforms. A solid working knowledge of statistical More ❯

Mathematics or related disciplines. Ability to analyse data and communicate outcomes to key stakeholders exploring new data sources with excellent coding skills in Python, R, SQL etc. Understanding of cloud services AWS, Snowflake and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation More ❯

Mathematics or related disciplines. Ability to analyse data and communicate outcomes to key stakeholders, exploring new data sources with excellent coding skills in Python, R, SQL, etc. Understanding of cloud services AWS, Snowflake and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation More ❯

SEO, social media, email campaigns, and conversion rate optimization. Technical Proficiency: Familiarity with tag management systems (e.g., Google Tag Manager), SQL, and Python or R for advanced data analysis is highly preferred. Problem-solving and Communication: Exceptional ability to interpret complex data, present insights clearly to non-technical stakeholders, and More ❯

of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R (data exploration, analysis, visualization). Strong experience of Tableau to pull data from various sources, develop and publish automated reports and dashboards. 5+ years of More ❯