Senior Data Science Manager
3 days ago
City of London
Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do • Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions., • Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data., • Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence., • Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions., • Manage multiple projects from inception to deployment within cloud-based environments., • Maintain high standards in code review, documentation, and delivery in a DevOps context., • Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: • Proven ability to solve complex, real-world problems through data science and analytics., • Experience coaching and reviewing work of junior team members., • Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics., • Deep knowledge of machine learning methods and their practical application., • Experience managing multiple end-to-end data science projects across varied data types., • Familiarity with DevOps practices and tools like Git., • Cloud experience (e.g. Azure, AWS) and working with ML platforms and services., • Strong communication skills, capable of explaining complex topics to non-technical stakeholders., • Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs)., • Familiarity with Generative AI and prompt engineering., • Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes., • Exposure to Agile development environments and software engineering best practices., • Experience working in large or complex organisations or regulated industries., • Strong working knowledge of Excel, SQL, Power BI, and Tableau. Why Join? • Work in a fast-growth, innovation-driven environment., • Be part of a diverse and inclusive team where your contributions are valued., • Tackle meaningful challenges with real-world impact., • Access continuous professional development and technical learning opportunities.