race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications Bachelor’s degree in … as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictivemodelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer Competitive salary and More ❯
Nottingham, Nottinghamshire, East Midlands, United Kingdom
Hillarys HR
ll lead FP&A in a company that's exploring how big data, automation, and AI can elevate financial planning. Whether it's building predictive models, refining data pipelines, or embedding forecasting logic directly into tools, this role is designed for someone with technical competence and creative curiosity. Key More ❯
Nottingham, England, United Kingdom Hybrid / WFH Options
QuidMarket Loans
and validation • Partner with major credit bureaus (TransUnion, Experian) to enhance risk segmentation • Architect advanced statistical models that revolutionize our credit risk assessment Lead Predictive Analytics: • Build next-generation Probability of Default (PD) models • Transform raw data into powerful predictive insights • Pioneer A/B testing frameworks to … changing insights to key decision-makers You'll thrive in this role if you love: • Solving complex credit risk challenges • Working with cutting-edge predictive modeling • Translating data science into business impact • Driving innovation in financial inclusion 📋 Must-Have Qualifications: • Degree in Data Science, Statistics, Economics or related field … work in UK • Strong programming skills (Python, R, SQL) • Advanced Excel proficiency • Experience with large-scale data analysis • Proven track record in credit risk modelling Must-Have Expertise: • Data Science, Statistics, or Economics degree - your foundation in quantitative excellence • Financial Services background - you understand the industry's pulse (Essential More ❯