Director of Data Science and Analytics

4 days ago

London, Greater London, United Kingdom Omnis Partners Full time

Director of Data Science and Analytics
Omnis Partners
£200k - £300k DOE & Bonus & co-invest opps
Hybrid / London / Travel Required

Omnis Partners is a leading Private Equity firm with £300Bn AUM, specialising in venture capital, crypto, credit, life sciences and tech opportunities. With a global presence and a reputation for excellence, they operate a portfolio of companies across an array of industry verticals including healthcare, consumer, technology, and financial services.

You will work with your team to solve complex business challenges and deliver enterprise value through data science and AI solutions. As the Director of Data Science and Analytics, you will be at the forefront of developing and executing data-driven strategies that optimize enterprise performance and enhance decision-making processes for a wide variety of end users.

You will project lead teams of Data Scientists and Engineers, collaborating closely with cross-functional teams to deliver innovative machine learning and AI solutions. You will need to be able to work closely with hands-on technical experts, advising and coaching around techniques and methodologies, as well as being able to contribute to projects yourself with hands-on coding and modeling capabilities.

You will face into non-technical C-suite and SLT customers, so you should be highly skilled in articulating technical concepts in an engaging and impactful manner. Projects are often turned around in a matter of weeks, with commercial impact being front and center, so the ability to demonstrate value at pace is key. You will work in harmony with Portco's to empathize, understand and dissect their challenges, as well as pull on your depth of expertise as to 'the art of what's (technically and commercially) possible'. Typical Data Science and AI projects relate to pricing, customer engagement, supply chain, business performance improvement, operations, and more.

Key Skills and Experience:

  1. Educated to degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics, etc.
  2. Proven experience in data science, analytics, or a related field, with the ability to deliver hands-on projects as well as guide and lead project teams.
  3. Expert in building and leveraging stakeholder relationships, in order to understand requirements and in turn build meaningful and impactful data science and AI solutions.
  4. Management consultancy experience is required and private equity experience is strongly preferred.

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