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