1 to 25 of 724 Permanent R Jobs

of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

the ability to translate complex data findings into actionable business insights. Ability to work independently and as part of a cross-functional team. Preferred Skills: Experience with Python or R for data analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies. Knowledge of regulatory requirements and compliance in the mortgage industry. Project management experience. If you have More ❯

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 ❯

or large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication More ❯

or large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication 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 ❯

. Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. Desirable: Experience with Python, R, or data visualisation tools. Internship or project experience in data analytics or financial services. Understanding of personal loan products and customer journeys. TwentyFour Recruitment is an equal-opportunity employer. If 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 ❯

visualisation technology such as PowerBi, Tableau or Qlik Statistical analysis, AI and machine learning techniques Simulation and mathematical optimisation techniques Hands-on coding experience preferably with SQL, Python or R Cloud development expertise, preferably Microsoft Azure or AWS Ambitious, with a desire to succeed in an entrepreneurial culture Ability to work under minimal supervision, plan work and managing own time More ❯

data under analysis hierarchically. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High-level understanding of data engineering and data More ❯

systems. Requirements: Degree in Data Science, Computer Science, Statistics, or a related field. Experience in predictive analytics, data science, or AI engineering within a business setting. Proficiency in Python, R, SQL, and experience with cloud-based ML platforms such as Azure ML, AWS, or GCP. Hands-on experience with data pipeline technologies (Azure Data Factory, Spark, Hadoop) and business intelligence More ❯

communication skills.Bachelors or Masters degree in Computer Science, Data Science, or a related field.Microsoft Certified:Data Analyst Associate or Power BI Certification preferred. Preferred Skills: Experience with Python or R for advanced analytics.Familiarity withPower Automate, Power Apps, and Microsoft Fabric.Exposure toAgile/Scrum methodologies and cloud-based BI environments. More ❯

Strong SQL and data warehousing experience Solid understanding of ETL pipelines and data modelling Minimum 2–3 years in data analytics or BI roles Bonus points for Python or R knowledge Education & Certifications: Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related field Professional certifications (e.g., Microsoft Certified: Data Analyst Associate) are a plus What We More ❯

and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to More ❯

and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to More ❯

years of professional experience in data analytics, preferably within defense or government environments Familiarity with Navy systems, compliance standards, and data security practices Knowledge of scripting languages (Python, R, or similar) for advanced data processing and automation Prior experience in workflow analysis and systems improvement to enhance stability and performance Active DoD Secret clearance Company Summary: Join the VSolvit Team More ❯

logit/probit) and non parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for 1 share purchase plans, an EV Scheme 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 ❯

Why We Work at Dun & Bradstreet Dun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share More ❯

functional teams to drive business decisions. Demonstrated success in developing machine learning models for fraud detection, credit scoring, and customer segmentation. Key Skills: Languages/Tools: Python, SQL, PySpark, R, SAS ML/AI: Scikit-learn, TensorFlow, NLP, Time-Series Forecasting Data Engineering: ETL, Data Wrangling, Data Pipelines Cloud Platforms: AWS, Azure, GCP (Data Services) Visualization: Power BI, Tableau, Matplotlib More ❯

ML and Azure technologies Required Qualifications Bachelors degree in Computer Science Data Science Engineering or related field Basic understanding of machine learning concepts and algorithms Familiarity with Python or R for data analysis and model development Exposure to Microsoft Azure services especially Azure Machine Learning and Cognitive Services Strong analytical and problemsolving skills Good communication and teamwork abilities Preferred Qualifications More ❯

development of automated reporting workflows that deliver key performance metrics to stakeholders, including Oracle Park operations and the San Francisco Giants Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives. Perform machine learning experiments and model evaluation tasks under the guidance of the team?s Lead Data Scientist. More ❯

development of automated reporting workflows that deliver key performance metrics to stakeholders, including Fenway Park operations and the Boston Red Sox. ? Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives. ? Perform machine learning experiments and model evaluation tasks under the guidance of the team?s Lead Data Scientist. More ❯

standards, including consumer duty, financial crime, and prudent management requirements. What you can bring Strong SQL experience, with additional skills in Power BI (essential) and ideally some exposure to R, Python, DAX or similar languages. Experience working in cloud-based data environments , ideally Azure. A background in insurance or financial services would be highly beneficial. Excellent communication and stakeholder skills More ❯