26 to 39 of 39 XGBoost Jobs in London

outputs Write clean, maintainable, and well-documented code Share ideas to improve and evolve our data platform 🎯 What You Bring Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy) Strong statistical reasoning and analytical mindset Ability to explain complex concepts to diverse stakeholders Self-starter attitude with curiosity and drive A degree in Data Science, Math, Statistics, or More ❯

outputs Write clean, maintainable, and well-documented code Share ideas to improve and evolve our data platform 🎯 What You Bring Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy) Strong statistical reasoning and analytical mindset Ability to explain complex concepts to diverse stakeholders Self-starter attitude with curiosity and drive A degree in Data Science, Math, Statistics, or More ❯

if Proven expertise in designing, executing, and analysing complex experiments end-to-end. Hands-on experience with statistical techniques (e.g., regressions, matching) and machine learning models (e.g., Naive Bayes, XGBoost). Strong Python and SQL skills, including writing reusable, standardised code and working in analytical environments like Snowflake. Experience conducting exploratory data analysis, including visualisations and identifying product key drivers. More ❯

we’re looking for: 2+ 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 pricing tools or supporting data More ❯

we’re looking for: 2+ 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 pricing tools or supporting data More ❯

outputs Write clean, maintainable, and well-documented code Share ideas to improve and evolve our data platform 🎯 What You Bring Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy) Strong statistical reasoning and analytical mindset Ability to explain complex concepts to diverse stakeholders Self-starter attitude with curiosity and drive A degree in Data Science, Math, Statistics, or More ❯

outputs Write clean, maintainable, and well-documented code Share ideas to improve and evolve our data platform 🎯 What You Bring Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy) Strong statistical reasoning and analytical mindset Ability to explain complex concepts to diverse stakeholders Self-starter attitude with curiosity and drive A degree in Data Science, Math, Statistics, or More ❯

Revenue/yield management or dynamic pricing Digital media or entertainment Expertise in Python and SQL, with a strong grounding in statistical and machine learning techniques (e.g. scikit-learn, XGBoost, statsmodels). Experience working with modern cloud data stacks (e.g. Snowflake, BigQuery, Redshift) and transformation tools like dbt. Familiarity with A/B testing, causal inference, and techniques for forecasting More ❯

Revenue/yield management or dynamic pricing Digital media or entertainment Expertise in Python and SQL, with a strong grounding in statistical and machine learning techniques (e.g. scikit-learn, XGBoost, statsmodels). Experience working with modern cloud data stacks (e.g. Snowflake, BigQuery, Redshift) and transformation tools like dbt. Familiarity with A/B testing, causal inference, and techniques for forecasting More ❯

statistical methods to market data 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 ❯

statistical methods to market data 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 ❯

AND EXPERIENCE 5–7 years of experience in a consumer credit environment, particularly in decision science or data science. Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM). Experience working with transactional data and credit bureau sources. Familiarity with model monitoring and performance tracking frameworks. Proficient SQL skills for querying and data transformation. Bonus: experience with More ❯

AND EXPERIENCE 5–7 years of experience in a consumer credit environment, particularly in decision science or data science. Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM). Experience working with transactional data and credit bureau sources. Familiarity with model monitoring and performance tracking frameworks. Proficient SQL skills for querying and data transformation. Bonus: experience with More ❯

analysis, collaborating with product and business teams to ensure prototypes are clearly linked to strategic goals. Experimenting Machine Learning design, development and deployment, using modern modelling techniques (e.g. CatBoost, XGBoost, RoBERTa), and leveraging both structured and unstructured data sources. Experimenting with the integration and fine-tuning of models with Vector databases and embeddings to support semantic search, RAG (retrieval-augmented More ❯