11 of 11 Statistics Jobs in the Thames Valley

Python, Java, and R code writing. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms. Strong analytical and problem-solving abilities and high attention to details. Great communication and collaboration skills. Excellent time management and organizational abilities. ...

data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master's or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning ...

love to hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization. Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations ...

hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in a least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines ...

with BI tools (Power BI ideal).- Strong communicator able to simplify complex data.- Highly organised, analytical, and proactive. Education: - Degree in Maths, Economics, Statistics, or similar. Benefits Competitive salary, strong benefits package, and great development opportunities. Apply ...

integrity. What you'll need to succeed Essential qualifications and experience: Bachelor's degree (or equivalent experience) in Computer Science, Information Systems, Data Science, Statistics, or a related discipline. Experience in data quality methods (validation, profiling, cleansing) in medium/large-scale environments. Hands-on experience with relational databases ...

core data science libraries: Pandas, NumPy, and SciPy. Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch. Statistics & Math: Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics. Databases & Querying: Proficiency … tools like Matplotlib, Seaborn, Tableau, or Power BI to communicate insights. Education & Experience Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your ...

business; Ideally a previous experience (internship) in data science, insurance or climate modelling. SKILLS Keen interest in climate related topics; Highly skilled in statistics, probabilities, applied mathematics and machine learning methods; Eye for quality and attention to detail; Fluency in English (written and verbal communication) is required; Proficiency in Python ...

Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear business ...

Infact are a progressive, fast-moving, credit referencing start-up. We see great opportunities to combine foundational statistics with modern AI to find meaning in consumer finance data. We are looking for a hands-on Data Scientist to work alongside our lead data scientist to experiment, engineer, and deliver innovative … Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc.). Industry: 2+ years of experience in Fintech, Finance, or Credit Risk is required. Profile: You are an ambitious candidate ...

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in ...