Senior Manager Data Science Job In London

Senior Manager - Data Science - £115-125K + Bonus

Are 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 engagement
• Extensive 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.