26 to 37 of 37 XGBoost Jobs in the UK

Data Scientist include: 2–5 years’ experience in data science or analytics, with strong Python and SQL skills Practical knowledge of machine learning techniques and tools (e.g., scikit-learn, XGBoost) Experience working with real-world datasets and presenting insights to stakeholders Excellent communication skills and the ability to explain complex ideas clearly More ❯

high-stakes environments. 5–7 years of experience in a credit-related data science or decision science role Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM Strong SQL skills for data extraction and transformation Experience working with transactional (e.g., Open Banking) and bureau data (e.g., Experian, Equifax) Expertise in feature engineering, handling class imbalance More ❯

high-stakes environments. 5–7 years of experience in a credit-related data science or decision science role Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM Strong SQL skills for data extraction and transformation Experience working with transactional (e.g., Open Banking) and bureau data (e.g., Experian, Equifax) Expertise in feature engineering, handling class imbalance More ❯

is our current software solution): ExData visualisation tools (PowerBI) and manipulating data (Python/Excel/VBA/SQL/Databricks/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). At Evri, we know we only grow if our More ❯

end-to-end data science experience covering deployment & production Experience working in the fintech, financial services or credit risk domain Experience with SQL & Python, and machine learning libraries including XGBoost, LightGBM, Scikit-learn etc. Supporting platform & software engineering knowledge a plus! The ability to communicate & guide data strategy Candidates must be based in the UK. Unfortunately we cannot offer sponsorship More ❯

end-to-end data science experience covering deployment & production Experience working in the fintech, financial services or credit risk domain Experience with SQL & Python, and machine learning libraries including XGBoost, LightGBM, Scikit-learn etc. Supporting platform & software engineering knowledge a plus! The ability to communicate & guide data strategy Candidates must be based in the UK. Unfortunately we cannot offer sponsorship More ❯

multiple modalities spanning from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models. BASIC QUALIFICATIONS - 2+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or 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 ❯

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 ❯

years of experience in consumer credit, particularly in a data science or decision science role. Hands-on experience building models in Python using libraries like scikit-learn, XGBoost, or LightGBM. Strong experience working with transactional datasets (e.g., Open Banking and Categorisation) and bureau data (e.g., Experian, Equifax). Deep understanding of feature engineering, data preprocessing, and dealing with class imbalance. More ❯

experience (listed is our current software solution): ExData visualisation tools PowerBI and manipulating data (Python/Excel/VBA/SQL/Spark), Analytical models (Python: SciKitLearn, Imblearn, Prophet, XGBoost, ExtraTrees, Kmeans Clustering), Web Scraping (Python: Selenium, Chrome driver, BeautifulSoup) and understanding of Databases (Oracle/SAP Hana/AWS). At Evri, we know we only grow if our More ❯