Job Title: Senior Manager – Data Science - GenAILocation: London (Hybrid)

Salary: £#removed#K + Bonus

Are you a visionary leader in data science, passionate about driving top-line growth through data-driven insights? As a Senior Manager in the Data Science team at this boutique consultancy, you will play a pivotal role in helping clients optimize their customer journeys and improve operational efficiencies. You’ll work with cutting-edge technologies to lead advanced analytics initiatives across industries and collaborate with cross-functional teams to solve complex business problems.

What you’ll be doing:

Leadership & Strategy:

• Lead and grow the Advanced Analytics team, comprising data scientists, analysts, and engineers, fostering a culture of excellence and innovation.
• Develop and execute a clear analytics strategy aligned with company objectives, with a primary focus on customer journey optimization.
• Advocate for data-driven decision-making, driving data literacy at all levels of the organization.

Analytics & Insights:

• Oversee the design, development, and deployment of sophisticated analytics models to uncover deep insights into pricing, customer behaviour, and business dynamics.
• Implement advanced machine learning and statistical techniques to predict trends and optimize operational efficiencies.
• Provide actionable insights and strategic recommendations to senior stakeholders.

Collaboration & Influence:

• Collaborate with teams across industries to embed analytics solutions into all facets of the business.
• Support client IT teams in embedding scalable data architecture and data warehousing solutions.
• Serve as a trusted advisor to clients, ensuring successful deployment and integration of advanced analytics initiatives.

Performance & Reporting:

• Monitor key performance indicators (KPIs) to measure the impact of analytics efforts.
• Continuously evaluate the effectiveness of tools, methodologies, and data models, recommending improvements to enhance performance.

What you bring to the table:

• A degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Data Science, etc.), or equivalent experience.
• Extensive experience in advanced analytics, with a commercial or consulting background.
• Strong programming skills in Python and experience with developing ML/statistical models, particularly in pricing (e.g., price elasticity, revenue management, dynamic pricing).
• Experience with data visualization tools (e.g., Tableau, PowerBI) and data management platforms (e.g., SQL, Snowflake, Databricks).
• A passion for building high-performing teams and creating a collaborative, data-driven culture.
• Excellent written and verbal communication skills, with the ability to simplify complex topics for non-technical audiences.
• An entrepreneurial mindset, ready to take on new challenges and grow within a fast-paced, expanding team.