1 to 25 of 68 Remote Permanent R Jobs

subject matter to business stakeholders. Skills: Expertise in: Microsoft Office Suite; database querying using SQL; and data analysis tools, including SQL, DAX, and Excel. Statistical analysis tools such as R or Python Data visualization tools (Tableau and Power BI preferred) and data visualization, UI/UX, and wireframing best practices. Data architecture principles; data warehouses (Snowflake preferred); and API integrations. More ❯

Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding More ❯

Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding More ❯

similar role. Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, or similar). Familiarity with statistical analysis and data modeling techniques. Experience with Python or R for data manipulation and analysis (preferred). Excellent problem-solving skills with attention to detail. Strong communication and presentation skills to explain complex data in simple terms. Preferred Qualifications Experience More ❯

certifications in analytics tools and technology Demonstrated experience with non-SAP analytics platforms, and cloud-based analytics solutions, including data integration techniques Proficiency in programming languages such as Python, R, and/or SQL for data analysis, modeling and automation tasks What We Look For: We are looking for candidates who are: Innovative and agile , with a purpose-driven mindset More ❯

below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or More ❯

problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using More ❯

problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using More ❯

responsible use of data to drive growth. Do you have what it takes? You are familiar with or willing to learn a diverse range of technologies: Programming languages - Python, R Data Processing Libraries- PySpark, Pandas, SQL, etc Data Platforms - Databricks, RStudio Engineering Tools - Github, AWS, Terraform, DBT Data Visualisation - Power BI You have experience in Marketing Effectiveness and Marketing Mix More ❯

of AI/ML applications in gaming and consumer facing platforms Technical proficiency: Required - Reporting/visualisation tools (Power BI/Tableau, etc.). Nice to have - SQL, Python, R and modern cloud data environments (e.g., Snowflake, Databricks). WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables More ❯

Business Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Benefits Hybrid working (2 days in London office) Private Medical Insurance (including Dental and Vision) and Life Assurance More ❯

and industry collaborations, positioning IMS as a thought leader in data science. Requirements 5+ years of experience in data science, machine learning, or AI model development. Expertise in Python, R, or Julia, with proficiency in pandas, NumPy, SciPy, scikit-learn, TensorFlow, or PyTorch. Experience with SQL, NoSQL, and big data technologies (Spark, Hadoop, Snowflake, Databricks, etc.). Strong background in More ❯

AWS (Redshift), Azure or others Fluent in SQL Expert in data manipulation and analysis to provide actionable insights through data storytelling Experience using data analysis languages like Python or R Excellent attention to detail and proven problem-solving skills Proficient at prioritising workloads effectively and using planning and collaboration tools e.g. JIRA, Confluence & Miro Desirable Prior experience using and building More ❯

from data Prior experience and a strong understanding of data analysis software and programming languages including as a minimum Python, SQL and advanced Excel (additional tools eg. Tableau, Alteryx, R would be beneficial). Essential Ability to leverage data to drive both tactical and strategic decision-making, identifying opportunities for data-led approaches to improve outcomes Strong understanding of intelligence More ❯

model enablement tools; experience with model documentation standards and governance protocols. Technical expertise in data pipeline development, data testing, and statistical performance monitoring using tools such as Python, SQL, R, and/or commercial analytics platforms. Demonstrated ability to lead root cause diagnostics and continuous improvement initiatives to reduce model development cycle time and improve scalability. Desired Characteristics : Advanced degree More ❯

complex formulas & data visualization. Knowledge 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 managing pipelines, API development, API More ❯

warehouse tables using SQL. Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.). Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript). Suggested Skills: Data analytics Collaboration Communication Pay rate range: $40.35 - $58.05 hourly. If you have the described qualifications and are interested in this exciting More ❯

Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/ More ❯

to present ideas appropriately and persuasively General & Specialist Knowledge Strong technical skills, proficient in various programming languages, frameworks, and tools for data analysis and AI development, such as Python, R, TensorFlow, PyTorch, Scikit learn, etc; Familiar with various data sources, formats, and standards, such as APIs, JSON, XML, CSV, etc., and detail oriented; Experience in developing and deploying applications and More ❯

flexible. General & Specialist Knowledge Strong technical skills, proficient in various programming languages, frameworks, and tools for DLT/Blockchain, data analysis and AI development, such as Solidity (Ethereum), Python, R, TensorFlow, PyTorch, Scikit-learn, etc; Familiar with various data sources, formats, and standards, such as APIs, JSON, XML, CSV, etc, and detail oriented; Experience in developing and deploying applications and More ❯

business intelligence best practices. Advanced proficiency in SQL and experience with at least one BI tool (Looker preferred). Experience evaluating and onboarding Analytics tools. Experience with Python or R, plus Google Analytics, Amplitude, or similar. Excellent communication skills: you can explain complex concepts simply and compellingly. A pragmatic, commercial mindset: balancing technical detail with business impact. You'll have More ❯

training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred More ❯

training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred More ❯

training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred More ❯

training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred More ❯