126 to 150 of 871 R Jobs

risks in design and delivery and suggest mitigations; detect and escalate any data issues encountered during daily activities. Qualifications Experience as a Data Scientist with advanced proficiency in Python, R, and SQL Server. Strong analytical and problem-solving skills; experience in advanced analytics, predictive analytics, and machine learning. Good communication and relationship-building skills, including the ability to inspire trust More ❯

Part time or full time: Full Time Flexibility option: High Co-Location (3-4 days on-site) Skills: Data Analytics Data Science Data Visualization GitLab Jupyter Notebooks Python and R Studio More ❯

Part time or full time: Full Time • Flexibility option: High Co-Location (3-4 days on-site) ,Skills: • Data Analytics • Data Science • Data Visualization • GitLab • Jupyter Notebooks • Python and R Studio More ❯

native (AWS Glue, Azure Data Factory, Google Cloud Dataflow) & in-warehouse transform tools (Fivetran, Talend, dbt); Big Data Tech: Hadoop, Spark, Kafka; Programming/API: Python, Keras, Scikit-learn, R, XML; ML/DL/Analytic Engines: TensorFlow, PyTorch, Trillium, Apache Spark; Modeling Tools: MS Visio, ER/Studio, PowerDesigner; Source systems incl. on-prem, cloud, & SaaS; DTS offers excellent More ❯

experience working with decision systems platforms (FICO systems, Provenir, SDS/PowerCurve, etc.). Programming proficiency in Python, SAS, or SQL (multiple languages advantageous). Advanced coding skills in R, Python, Java, or SQL System testing. Proficiency with testing capabilities within decision management platforms. Knowledge and understanding of analytical model development, credit bureau data, and financial services. Knowledge of lending More ❯

experience in business analysis, forecasting, or commercial strategy-ideally in media, entertainment, or consultancy Strong background in econometric modelling and predictive analytics Proficiency in analytical tools such as Excel, R, Python, or SQL and business intelligence platforms (e.g., Tableau, Power BI) Experience in bringing together multi-disciplined data teams to combine data informed narratives Excellent quantitative, problem-solving, and critical More ❯

and knowledge 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of More ❯

and knowledge 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of More ❯

and knowledge 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of More ❯

and knowledge 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of More ❯

and knowledge 2+ years’ experience solving analytics and modelling problems, ideally in sport, gaming, or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of More ❯

professional qualification. 5+ years' experience in research or professional data science-driven services organization 5 years' experience in research-based analytics/statistical project support role Proficient Analytics Toolkit: R, SPSS, Excel, Git, Python, SQL, Postgres & cloud computing expertise desirable. Consistently able to apply a range of research methods and demonstrate honed analytics skills Strong communication skills and interpersonal skills More ❯

stakeholder influence: Strong experience as an Analyst, ideally in a big data environment . Expertise in SQL (analytical SQL required) and familiarity with tools such as Excel, VBA, Python, R, or similar programming languages. Exposure to dbt or modern data transformation frameworks would be highly desirable. Proven ability to solve both quantitative and qualitative problems with creativity and rigour. Excellent More ❯

stakeholder influence: Strong experience as an Analyst, ideally in a big data environment . Expertise in SQL (analytical SQL required) and familiarity with tools such as Excel, VBA, Python, R, or similar programming languages. Exposure to dbt or modern data transformation frameworks would be highly desirable. Proven ability to solve both quantitative and qualitative problems with creativity and rigour. Excellent More ❯

stakeholder influence: Strong experience as an Analyst, ideally in a big data environment . Expertise in SQL (analytical SQL required) and familiarity with tools such as Excel, VBA, Python, R, or similar programming languages. Exposure to dbt or modern data transformation frameworks would be highly desirable. Proven ability to solve both quantitative and qualitative problems with creativity and rigour. Excellent More ❯

SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or other data analysis tools. Previous exposure to CRM systems (Salesforce, HubSpot) or SaaS platforms. What We Offer A clear career path with mentoring and training tailored for graduates. Exposure More ❯

SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or other data analysis tools. Previous exposure to CRM systems (Salesforce, HubSpot) or SaaS platforms. What We Offer A clear career path with mentoring and training tailored for graduates. Exposure More ❯

SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or other data analysis tools. Previous exposure to CRM systems (Salesforce, HubSpot) or SaaS platforms. What We Offer A clear career path with mentoring and training tailored for graduates. Exposure More ❯

SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or other data analysis tools. Previous exposure to CRM systems (Salesforce, HubSpot) or SaaS platforms. What We Offer A clear career path with mentoring and training tailored for graduates. Exposure More ❯

SQL or BI tools (Tableau, Power BI, Looker) is a plus. Nice-to-Have Internship or academic project experience related to SaaS, business analysis, or data. Knowledge of Python, R, or other data analysis tools. Previous exposure to CRM systems (Salesforce, HubSpot) or SaaS platforms. What We Offer A clear career path with mentoring and training tailored for graduates. Exposure More ❯

highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a narrative More ❯

highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a narrative More ❯

highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a narrative More ❯

highly analytical role (e.g., Business Analyst, Data Science, Strategy) within a top-tier consulting firm, tech company, or product-led organization. You possess expert-level proficiency in SQL, Python, R, and data visualization tools (e.g., Tableau, Looker). Experience with AI/ML modeling is a significant plus. You are a master of data storytelling —you can build a narrative More ❯

approach to often unfamiliar subject matter. The following attributes and areas of experience will make you particularly suited to this role with Actica: Coding e.g. expertise in Python or R; Collaborative, team-based development; Cloud analytics platforms e.g. relevant AWS and Azure platform services; Data tools hands on experience with Palantir ESSENTIAL; Data science approaches and tooling e.g. Hadoop, Spark More ❯