For an accomplished data scientist, Consulting might seem like an enticing career move.

Where else can you see so much? Different industries, contrasting company cultures, new cities. What other sector works at this pace, always staying one step ahead of macro trends?

Even if you’re only a few years into your career, you get to skip the C-Suite queue and engage with exec-level strategy. You’ll see what keeps CEOs up at night – and learn how to address those issues.

Add to that the chance to build relationships with so many intelligent, influential people and it’s obvious that consulting can really grow your network and enhance your CV. (Did we mention that it’s also very well paid?)

So what’s stopping you? Perhaps it’s the negatives you always hear. The long hours. The travel treadmill that keeps you away from home from Monday to Thursday. The office politics. The hierarchies.

A more positive place to work

Fortunately, this consultancy role – ideal for an ambitious data scientist – has none of those negatives and all of the positives. Here, you can look forward to:

  • Excellent camaraderie; supportive colleagues who genuinely care about each other and their clients.
  • A ‘home office’ policy that lets you spend more time in the office and less in the airport lounge.
  • A high-performance ethic that encourages you to really get under the skin of your clients’ business.
  • A respectful culture. Yes, you’ll work hard, but there’s space to think, rooms to recharge and ‘grown-up’ perks like generous parental leave.

This isn’t recruitment hyperbole; it’s genuine feedback from the company’s own people, that’s seen them ranked near the very top of Glassdoor’s ‘Best Places To Work’ for nearly a decade.

Nor is this a boutique consultancy. It’s one of the world’s biggest and best-known so you can look forward to honing your skills on high-profile projects for household-names.

What you can add

You’ll join an expert group of data scientists, engineers and researchers who work closely with clients and consulting teams worldwide.

As a senior data scientist, you’ll employ your strong experience of data science and supply chain domain knowledge (e.g. planning, forecasting, inventory management, production scheduling, logistics and warehouse), to help find value-added answers to commercial problems –the learning algorithms you develop could range from a few data points to billions.

Alongside a Masters in industrial engineering, operations research or supply chain management related subject, you almost certainly have an interest in optimisation modelling and heuristic algorithm development.

Technically, you’ll need basic programming capability (e.g. Python, R, C++, C, etc.), along with a good understanding of supply chain IT/analytics systems, as you’ll be advising clients on their existing IT landscape and provide recommendations from your knowledge.

Last but not least, you’ll need a proven ability for making mathematical and machine learning technicalities meaningful for business audiences. So, alongside confident communication skills, you’ll need a talent for using data engineering, analytics, and visualization applications to clearly convey data and analytics ideas.

Learn more

Ready to broaden your horizons?

To find out more about the role, the requirements and the rewards, please apply

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