10 of 10 R Jobs in Doncaster

content generation, technical Q&A, and call summarisation. Understanding of how AI augments human capabilities in sales and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of More ❯

predictive tools Develop dashboards and visualizations for business teams Communicate findings to non-technical stakeholders What You Bring 5+ years in applied data science or analytics Strong Python or R skills (pandas, NumPy, Jupyter) and solid SQL experience Familiarity with BI tools like Tableau or Power BI Strong foundation in statistics, experimentation, and A/B testing Excellent communication and More ❯

datasets. Excellent analytical and problem-solving skills with strong business acumen. Clear communication and presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer More ❯

visualizations for executive-level decision-makers. Required Skills Extensive experience as a Data Scientist, with a proven track record in leadership roles. Proficiency in programming languages such as Python, R, or SQL, and familiarity with data science libraries and frameworks. Strong expertise in statistical modelling, predictive analytics, and machine learning. In-depth understanding of data architecture and big data technologies More ❯

Communicate insights to data labeling experts and technical teams. Requirements Strong foundation in statistical analysis, hypothesis testing, and pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Experience with exploratory data analysis and deriving actionable insights from complex datasets. Familiarity with LLM evaluation methods and quality metrics. Comfortable working with Excel, data visualization tools More ❯

or strong professional background in Economics, Econometrics, Finance, or related fields. Strong grasp of macro/microeconomic theory, modeling, and statistical inference. Proficiency with modeling and analysis tools (Python, R, Stata, or MATLAB). Experience in forecasting, simulation modeling, or policy evaluation is a plus. Excellent analytical communication skills. Availability for 20–30 hours per week. Why This Role Shape More ❯

learning models to solve key business problems. Translate complex model outputs into clear, business-relevant recommendations for stakeholders. The ideal candidate: Strong programming skills in Python and/or R, with experience in SQL for data manipulation. Experience with machine learning/predictive modelling techniques and model evaluation. Ability to translate complex technical findings into clear business insights and recommendations. More ❯

forecasts, scenario analyses, or decision-intelligence insights. Strong competency in probability, calibration, scenario design, and structured judgment techniques. Proficiency with forecasting tools, data visualization, or statistical software (e.g., Python, R, Excel) is highly valued. Excellent written and verbal communication, strong analytical reasoning, and collaborative mindset. Commitment of 20–30 hours per week, including required synchronous collaboration periods. Why Join Collaborate More ❯

Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK More ❯

If you are looking to progress a career in website administrator, then this training and placement programme is made for you? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. More ❯