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Job Title: Senior Consulting Manager Data Science - GenAI Location: London (Hybrid) Salary: £(Apply online only)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.
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