Senior Manager - Data Science

Senior Manager - Data Science - £115-125K + BonusAre you a management consultant who is passionate about leveraging data to drive business growth? Join my client's dynamic team as a Senior Manager in their Data Science division and play a pivotal role in shaping the future of client success.How You Will Create Impact:Leadership and Strategy:Lead and expand the Advanced Analytics team, overseeing a talented group of data scientists, analysts, and data engineers.Develop and execute a comprehensive analytics strategy, with a focus on optimizing the customer journey.Champion data-driven decision-making throughout the organization, fostering a culture of enhanced data literacy at all levels.Analytics and Insights:Direct the design and implementation of sophisticated analytics models to enhance understanding of pricing responses, customer behaviours, and business dynamics.Utilize advanced machine learning and statistical techniques to forecast trends and enhance operational efficiencies.Provide actionable insights and strategic recommendations to senior stakeholders based on rigorous analysis.Collaboration and Influence:Collaborate closely with teams across various industries to integrate analytics into all aspects of business operations.Support client IT teams in enhancing data architecture and data warehousing to ensure the delivery of robust, scalable solutions.Your Profile:Bachelor's degree in a quantitative field (e.g., computer science, engineering, statistics) or equivalent experience.Experienced Management Consultant with a demonstrable track record of leading consulting teams and client engagementExtensive experience in advanced analytics and data science, preferably in a commercial or consulting environment.Proficiency in Python programming and experience developing ML or statistical models related to pricing.Strong familiarity with data visualization software (e.g., Tableau, PowerBI) and data management tools (e.g., SQL, Snowflake).Bonus Points for:Experience implementing Machine Learning models and familiarity with large language models.Knowledge of cloud-based solutions on major providers (Azure, GCP, AWS).Familiarity with collaborative software tools such as Git and Jira.Proficiency in user interface applications like React and JavaScript.Domain expertise in pricing, demand forecasting, or time-series modeling.