For an accomplished operations research specialist, 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 has none of those negatives and all of the positives. Here, you can look forward to:
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 researchers, data scientists and engineers and who work closely with clients and consulting teams worldwide.
As a senior operations research analyst, you’ll employ your strong experience of operations analytics 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 an Industrial Engineering, Operations Research, quantitative Management Science, Statistics, Mathematics, or Computer Science related subject, you’ll have expertise in optimization techniques and languages, and familiarity with simulation methods and time series/forecasting techniques.
Technically, you’ll have strong data engineering experience (e.g. Python, R, SQL.), and it would be ideal if you had previous experience with advanced optimisation modelling languages (e.g. Gurobi, CPLEX).
Last but not least, you’ll need a proven ability for making mathematical and Operations Research 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 your ideas.
Ready to broaden your horizons?
To find out more about the role, the requirements and the rewards, please apply