51 to 75 of 1,430 Permanent R Jobs

law and that we are upholding our values and ethics in how we use data. Skills and Knowledge Analysis of structure, semi-structured and unstructured data Programming - SQL, Python, R, Julia AI/ML ethics Understanding of Data Governance concepts and best practice Quick understanding of business problems and requirements A willingness to learn new skills and adopt to new More ❯

with large data sets, ETL processes, and data visualization tools such as Power BI, Tableau, or Qlik. • Expertise in DAX, Power Query (M), SQL, and scripting in Python or R for analytics and automation. • Familiarity with Azure Synapse, Data Factory, or other cloud-based data integration platforms is a plus. • Proficient in SharePoint Framework (SPFx), JSON formatting, REST APIs, Graph More ❯

multiple sources (e.g., SFMC, Google Analytics, Google Tag Manager). Proficient in SQL and data visualization tools (Tableau, Power BI, Google Data Studio). Working knowledge of Python or R for data analysis and campaign optimization. Familiarity with A/B testing methodologies, segmentation, and conversion funnel analysis. Understanding of marketing KPIs: open rates, click-through rates, conversion rates, revenue More ❯

underwriting, pricing, reserving, or risk management processes in insurance Advanced SQL skills for querying complex databases and joining disparate data sources Expertise in data manipulation and analysis using Python, R, or similar analytical tools Experience with data visualization tools (e.g., Tableau, Power BI, Looker) Experience with dashboard creation for operational metrics tracking Strong communication and analytical skills Capable of working More ❯

side dynamics in the digital advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data tools (e.g., Spark, Snowflake). Exceptional leadership, project management, and interpersonal skills with More ❯

Full-Time Role Knowledge Requirements: Experience with software integration or testing, including analyzing and implementing test plans and scripts. Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. Experience applying Structured Query More ❯

network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience … in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications - Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g. More ❯

mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect More ❯

As we scale up, there is opportunity to own globally impactful work and grow your career in technical, programmatic or people leadership. You will likely work with Python or R, though specific particular modelling language. Your problem-solving ability, knowledge of data models and ability to drive results through ambiguity are more important to us. About the team Diverse Experiences … better-rounded professional. BASIC QUALIFICATIONS 5+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an More ❯

options Comprehensive training and development opportunities Career progression in a supportive environment Skills and Experience Proven experience in data science, including machine learning and statistical analysis. Proficiency in Python, R, or similar programming languages. Strong SQL skills for data manipulation and querying. Experience with data visualisation tools such as Tableau or Power BI. Experience with cloud platforms (e.g., AWS, Azure More ❯

and fast-paced problem-solving. 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 clearly to non-technical stakeholders. More ❯

and fast-paced problem-solving. 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 clearly to non-technical stakeholders. More ❯

SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting structures Knowledge of programming languages such as Python or R for data manipulation and analysis Strong analytical and problem-solving skills, with attention to detail Excellent communication and interpersonal skills for collaborating with cross-functional teams Requirements achelor's degree More ❯

learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn, XGBoost, etc.); familiarity with R or dbt is a plus. Experience working with BI tools such as Looker, Tableau, or Power BI. Comfort working in high-growth environments (start-ups or scale-ups preferred). More ❯

learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn, XGBoost, etc.); familiarity with R or dbt is a plus. Experience working with BI tools such as Looker, Tableau, or Power BI. Comfort working in high-growth environments (start-ups or scale-ups preferred). 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 ❯

Looking For: Proven experience as a Data Scientist or in a similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus More ❯

a great Grayce Analyst: 2:1 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. Soft Skills: Effective communication More ❯

to become aData Analytics Graduate: A minimum 2:1 degree in Data Science, Statistics, Computer Science, Maths, or a related field. Familiarity with data analysis coding languages like Python, R, or SQL. A keen interest in learning visualisation tools such as Tableau or PowerBI. Strong communication skills, with the ability to influence and build relationships. Analytical thinking anda knack for More ❯

decision making and their applications. 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 data platforms (Azure). Understanding More ❯

Data Scientist Analyst. Additional Responsibilities Include, but are not Limited To: Proven experience in data analysis, database management, and data visualization. Strong programming skills in languages such as Python, R, and SQL. Experience with machine learning and statistical modeling techniques. Familiarity with data visualization tools such as Tableau or Power BI. Excellent communication and presentation skills, with the ability to More ❯

sources. • Understanding of business intelligence concepts and data analytics. • Experience integrating with Dynamics 365, SharePoint, or REST APIs. • Familiarity with custom connectors and advanced integrations. • Experience with Python or R in Power BI for advanced analytics. • Excellent problem-solving, communication, and collaboration skills. • Experience in MS Power Platform (Power BI, Power Automate, Power Apps), MS data solutions (Dataverse, Fabric, SharePoint More ❯

at the level of a qualified UK actuary (Fellow of IFoA preferred) Minimum 5 years of relevant actuarial experience with strong focus on pricing and modelling Programming skills in R and/or Python Experience with technical platforms, pricing systems, or analytical infrastructure Experience with modern data architecture, APIs, and cloud-based solutions Project management skills with ability to lead More ❯

are part of successful deliverables Working knowledge of general machine learning algorithms and NLP, Graph Theory, and Network Analysis Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.) Experience with statistical data analysis, experimental design, and hypotheses validation Experience with database querying like SQL Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes More ❯

are part of successful deliverables Working knowledge of general machine learning algorithms and NLP, Graph Theory, and Network Analysis Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.) Experience with statistical data analysis, experimental design, and hypotheses validation Experience with database querying like SQL Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes More ❯