8 of 8 Remote XGBoost Jobs in England

conversion optimization, and media effectiveness. Proficiency in Python with extensive experience in data science libraries (e.g.scikit-learn, pandas, NumPy, SciPy, etc) Experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or similar Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift) Experience with cloud platforms (AWS, Azure, GCP) and their ML and AI services (SageMaker, Azure More ❯

to-Haves Graduate/postgraduate degree in engineering, mathematics, physics, or statistics. Experience in financial services, insurance, or e-commerce. Familiarity with cloud-based deployment, neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas, SQL, API development, or CI/CD pipelines. Background in software engineering or DevOps/MLOps. RSG Plc is acting as an Employment Business in relation to this More ❯

to-Haves Graduate/postgraduate degree in engineering, mathematics, physics, or statistics. Experience in financial services, insurance, or e-commerce. Familiarity with cloud-based deployment, neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas, SQL, API development, or CI/CD pipelines. Background in software engineering or DevOps/MLOps. RSG Plc is acting as an Employment Business in relation to this More ❯

compelling and actionable way Mentor junior data scientists and contribute to the evolution of data science standards and practices Key Skills & Technologies Technical: Strong in Python (pandas, scikit-learn, XGBoost, LightGBM, etc.) Proficient in SQL for complex customer data extraction and manipulation Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B testing, uplift modeling Familiarity More ❯

compelling and actionable way Mentor junior data scientists and contribute to the evolution of data science standards and practices Key Skills & Technologies Technical: Strong in Python (pandas, scikit-learn, XGBoost, LightGBM, etc.) Proficient in SQL for complex customer data extraction and manipulation Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B testing, uplift modeling Familiarity More ❯

and feature store development Requirements: 3+ years of experience as a Data Scientist in a commercial setting Strong skills in Python, SQL , and machine learning libraries (e.g., scikit-learn, XGBoost, etc.) Familiarity with cloud platforms (e.g., AWS, GCP) and version control (e.g., Git) Experience working with financial or transactional data is a plus Bachelor’s or Master’s degree in More ❯

and feature store development Requirements: 3+ years of experience as a Data Scientist in a commercial setting Strong skills in Python, SQL , and machine learning libraries (e.g., scikit-learn, XGBoost, etc.) Familiarity with cloud platforms (e.g., AWS, GCP) and version control (e.g., Git) Experience working with financial or transactional data is a plus Bachelor’s or Master’s degree in More ❯

least 3 years of combined experience in software development, machine learning, or data science. Proven experience in ML topics including data engineering and time series forecasting (e.g., Prophet, ARIMA, XGBoost, LSTM). Proficiency in Python (data science stack) and software development languages like Java, JavaScript, or Python. Experience with databases (relational, time-series, key-value) such as PostgreSQL or InfluxDB More ❯