5 of 5 Remote Model Validation Jobs in East London

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical … a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right More ❯

drive strategic marketing decisions—optimizing media budgets, forecasting business performance, and supporting commercial objectives through rigorous analytical frameworks. Key Responsibilities Lead the full econometric modelling lifecycle: data extraction, transformation, model building, validation, and business interpretation. Build and refine Marketing Mix Models (MMM) with robust statistical foundations and clear KPI linkages. Generate actionable outputs such as ROI analyses, response … curves, and optimization tools. Perform scenario simulations for budget allocation, marketing strategy, and planning. Conduct model diagnostics, ensure methodological robustness, and continuously improve model accuracy. Required Skills & Experience Demonstrable experience in Marketing Mix Modelling (MMM) and econometrics, ideally within FMCG or related sectors. Strong command of Python and pandas; working knowledge of R is also a plus. Proficient More ❯

through advanced econometric modelling—including Bayesian Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), and data-driven optimization strategies. Key Responsibilities Lead and manage data workflows: data extraction, transformation, validation, and exploratory analysis to ensure modelling-readiness. Build and refine Bayesian MMM models that capture the drivers of key marketing and commercial KPIs. Use Python (and optionally R) to More ❯

Calibrate confidence metrics with historical data and measure their value to trading & risk learning models. Continuously improve these models based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers into concise narratives and action-oriented alerts Broader Contributions: Build and refine statistical/ML models for short- to medium-term demand, renewables … output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by traders and analysts. Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum More ❯

daily (Umbrella) Our client is hiring two experienced Data Scientists to join our fast-growing UK Data & AI practice . You’ll be at the forefront of machine learning model development for leading insurance and financial services clients , working in a collaborative, hands-on environment. Location: London (Hybrid: 2–3 days onsite per week) Start: Early July 2025 Type … Contractor Salary: Up to £78,000 or £350/day equivalent Your Profile: 6–10 years of experience in Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS SageMaker , Databricks ; Palantir Foundry/AIP is a big plus Insurance/ More ❯