Data Science Lead

4 weeks ago

London, United Kingdom L.E.K. Consulting Full time

**About L.E.K. Consulting**

L.E.K. Consulting is a global strategy consulting firm that addresses the most critical commercial issues for the leaders of some of the world's most successful businesses.

Clients come to us time and again because we are proven to act as an insightful expert and a trusted partner. We are uncompromising in our approach to help clients make better decisions at crucial moments, changing the trajectory of their enterprise, delivering improved business performance and creating greater shareholder returns.

Our teams combine our core capabilities of research, benchmarking, modelling, data & analytics and strategy development to create game-changing insights and practical solutions that seize competitive advantage and unlock new growth opportunities. We enable clients to make critical decisions with greater certainty and empower them to master their moments of truth.

With more than 1,900 professionals located across five continents, L.E.K. specialises in Strategy and Mergers & Acquisitions (M&A) support with clients across the full range of corporates and private equity. We are expert in a wide range of industries, including Life Sciences and healthcare, retail and consumer, financial services, industrials, energy and transportation.

Our global growth ambitions are huge. Be part of this growth.

**The opportunity**

L.E.K.’s Data and Analytics team works alongside and supports case teams in solving a range of analytical problems, enabling L.E.K. to provide clients with the best possible advice.

Our collaborative approach to analytics is unique: our consulting teams leverage a high-powered self-service toolkit to build the analysis that underpins our commercial recommendations. As part of our rapidly growing team, you will be working alongside experienced project teams to develop cutting edge solutions to our clients’ toughest commercial problems.

This role will be a senior member of the Data & Analytics practice, focusing on leveraging deep technical and commercial expertise alongside team management skills to support the overall delivery of data science as part of casework and sales support. You will also play an important role in growing L.E.K.’s broader D&A capability and our D&A offerings for clients.

Day-to-day responsibilities include:

- Contributing to sales process (e.g., proposals, discussion packs, workshops) to demonstrate L.E.K.’s data science capabilities, including identifying opportunities to leverage data science techniques
- Supporting cases with analytical pathfinding, analytical approaches and execution
- Managing and coaching other D&A team members, including other data scientists
- Drives awareness of data science capabilities, internally and externally
- Help drive thought leadership activities (e.g., Executive Insights)

You will be joining a growing team with strong senior sponsorship, with the opportunity to shape your role as you progress.

***

**What we are looking for**

The Data Science Lead / Associate Director of Data Science & Engineering role suits anyone with a passion to crack commercial and analytical problems and at least five years’ experience in doing so within a professional services environment.
- Deep commercial and strategy knowledge. Ability to tackle complex problems and generate client impact using data science, preferably within consulting environment
- Holds technical knowledge and experience across a range of data science areas
- Strong project management skills including work planning, presentation development, quality control, and stakeholder management
- Degree in a quantitative and/or business discipline preferred, examples include Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics
- Strong knowledge, experience, and fluency in Python or R, SQL; familiarity with Alteryx and Tableau preferred
- Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modelling, NLP; technical knowledge of optimisation is a plus
- Hands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfortable with data acquisition and warehousing best practices
- Excellent communication skills, both written (including Powerpoint) and oral; ability to explain complex algorithms to business stakeholders
- Experience with product development tools (e.g., Agile, DevOps, git, CI/CD) and cloud platforms is a plus

We work together in teams, so we look for those who can collaborate and communicate well. We look for those who will make an impact by being proactive and taking ownership of their work with energy and enthusiasm.

We are a technology agnostic business, and the technologies you will work with will vary from project to project depending on clients’ needs. A willingness to learn and ad

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