4 of 4 Statistical Modelling Jobs in Oxford

pipelines as needed. Conduct data exploration, analysis, and preprocessing for large structured/unstructured datasets. Collaborate with cross-functional teams to integrate models into business systems. Apply predictive analytics, statistical modelling, and time series forecasting to drive decision-making. Maintain clear documentation for all AI/ML pipelines and workflows . Key Skills: Solid hands-on experience in … ML algorithms , LLMs , GenAI , and automation frameworks. Proficiency with Python, R , and frameworks such as TensorFlow, PyTorch, scikit-learn, NumPy, pandas . Experience in data wrangling , data preprocessing , and statistical modelling. Skilled in data visualisation tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (Hadoop, Spark More ❯

under the guidance of senior team members. · Assist in extracting insights from large datasets to improve car performance and operational efficiency. · Contribute to the implementation of AI techniques and statistical models to solve complex engineering problems. · Collaborate with engineers across departments to understand requirements and deliver data-driven solutions. · Document and present findings clearly to technical and non-technical More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

support clients in interpreting analytical results. Build algorithms applicable across varied use cases and markets. Key Skills & Experience Strong experience interfacing directly with customers. Background in data science , including statistical modelling, machine learning, or applied analytics. Proficiency in Python for data analysis, modelling, and cloud application development. Exposure to automotive systems, electrification, or battery applications . Additional More ❯