A few months back, we shared a series of articles to help analysts and data scientists choose their next role (parts 1, 2, 3 and 4). Here, I expand on

When a business reaches the point when it decides it needs dedicated analyst or data science capabilities, one of the first questions that gets asked is ‘where should we put

Welcome to the final part of our four-part series on choosing your next data science or analytics role. We have covered a lot of ground so far: from choosing the

Welcome to the penultimate installment of our four-part series on choosing your next analytics or data science role. So far we examined Location & Timing in Part One, and Industry

Welcome to Part Two in our four-part series on choosing your next data science or analytics role. In Part One, we looked at the question of role Location & Timing.

While jobs in analytics and AI can be both exciting and lucrative, employee attrition in these roles tends to be high. It is not uncommon to see data scientists move

We like to think that this blog, while born out of a trivial New Year’s resolution, has managed to become a reasonably serious outlet. That said, we fully appreciate

In a quote frequently misattributed to W. Edwards Deming, one of the fathers of process improvement, ‘In God we trust. All others must bring data.’. But what if someone brings

I was in Tokyo a few years ago on business and grabbed a beer with a former colleague of mine. He had moved to Japan from the UK a few

Have you ever tried to build a strategy around a difficult topic and found yourself overwhelmed by the decisions in front of you? Perhaps it seemed like there was no

To transform your business with data, you need build your capabilities and resources carefully. The hardest part is making sure you have the right people onboard. If you’ve worked

In his book ‘Drive’, Daniel Pink discusses the key drivers of motivation in the workplace. In many ways, the three drivers he identifies also represent the reasons employees stay longer

With even the most traditional businesses embracing analytics, an explosion in data volume has left many decision makers swamped by information. It’s hard to drive the right actions when

Wrapping up a life sciences PhD is no joke; it commits you to an all-or-nothing minimum four years with little income and tough hours in the lab. When you’re

Do not let your data lake become a data swamp! This timely warning has been heard frequently over the past years as companies have…