fresh ideas to the table What we’re looking for: Strong Python skills and experience in ML libraries like scikit-learn, PyTorch, TensorFlow , or XGBoost Hands-on experience building and deploying ML models into production environments Familiarity with ML Ops workflows (e.g., MLflow, Airflow, Weights & Biases, or Kubeflow) Experience working More ❯
into business workflows. Desirable: Background in quantitative disciplines (math, stats, physics). Experience in finance, insurance, or ecommerce. Familiarity with ML frameworks like TensorFlow, XGBoost, and SKLearn. If this sounds like something you are interested in, please get in contact: thomas.deakin@spgresourcing.com SPG Resourcing is an equal opportunities employer and More ❯
senior data modeller in creating, developing, and iteratively improving models based on historic trends. The models will vary in design, but current models include XGboost, Random Forest and MCMC models. This role will also create analysis and provide support to the pricing team, to increase their automation and accuracy of More ❯
Key Skills 3–5 years of hands-on experience across the ML lifecycle Strong Python skills and familiarity with common ML frameworks (Scikit-learn, XGBoost/LightGBM, TensorFlow, PyTorch) Exposure to LLMs or NLP techniques is a plus Experience with cloud-based data platforms and modern MLOps practices Details London More ❯
Key Skills 3–5 years of hands-on experience across the ML lifecycle Strong Python skills and familiarity with common ML frameworks (Scikit-learn, XGBoost/LightGBM, TensorFlow, PyTorch) Exposure to LLMs or NLP techniques is a plus Experience with cloud-based data platforms and modern MLOps practices Details London More ❯
years’ experience in a data science or pricing role within insurance Strong skills in Python, SQL , and ML libraries such as scikit-learn or XGBoost Proven experience modelling claims, risk, or technical pricing Confident working independently and comfortable shaping processes from day one Bonus: experience with low/no-code More ❯
years’ experience in a data science or pricing role within insurance Strong skills in Python, SQL , and ML libraries such as scikit-learn or XGBoost Proven experience modelling claims, risk, or technical pricing Confident working independently and comfortable shaping processes from day one Bonus: experience with low/no-code More ❯
What They're Looking For: Strong background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯
