8 episodes

Data science demystified. The Data Dig is a new podcast exploring topics and ideas in data science, designed to empower business leaders and tickle curious minds.

Kelly Gauthier (founder of Gauthier Search, an AI & Data Science search firm) and Greg Detre (former Chief Scientist at Channel 4, and co-founder of Memrise), along with a range of guests, meet on the airwaves every other week to dissect and debate a range of topics in the nerdy and nebulous world of AI. Can you dig it?

The Data Dig The Data Dig

    • Business
    • 4.9 • 10 Ratings

Data science demystified. The Data Dig is a new podcast exploring topics and ideas in data science, designed to empower business leaders and tickle curious minds.

Kelly Gauthier (founder of Gauthier Search, an AI & Data Science search firm) and Greg Detre (former Chief Scientist at Channel 4, and co-founder of Memrise), along with a range of guests, meet on the airwaves every other week to dissect and debate a range of topics in the nerdy and nebulous world of AI. Can you dig it?

    Raising the Profile of Women in Data

    Raising the Profile of Women in Data

    Kelly talks to Katie Russell, Data Director at OVO, to learn more about her career, and how companies can empower women to succeed in data science. Kelly and Katie discuss evidence-based approaches to inclusivity, finding mentors within your company, and succeeding as a female data leader.

    • 27 min
    Building a Diverse Data Science Team

    Building a Diverse Data Science Team

    Building a diverse team isn’t just moral — it makes good business sense, too. Evidence suggests that teams from different backgrounds, and with different opinions, punch above their weight. So how do you build (and retain) a diverse data science team? Kelly and Greg show you how to minimise bias in hiring, make employees feel secure when voicing different opinions, and foster a culture that helps your data team make the best decisions possible.

    • 32 min
    What is a Machine Learning Engineer?

    What is a Machine Learning Engineer?

    'Machine Learning Engineer' is a pretty new job title, but demand for these mysterious maestros is stronger than ever. So what (if anything) makes them distinct from data scientists — and what sort of company would benefit most from hiring one? Join Greg and Kelly as they dig into what makes ML engineers unique.

    • 27 min
    How to Get a Job as a Data Scientist

    How to Get a Job as a Data Scientist

    So you want to get a job in data science — where do you start? Kelly and Greg guide you through every step, from finding the right job and polishing your CV to acing interviews and negotiating better terms. Tune in for the skinny on how to land your perfect role.

    • 49 min
    How to Hire a Data Scientist

    How to Hire a Data Scientist

    So you want to hire a data scientist — where do you start? Kelly and Greg talk through the key steps: defining your data goals, writing a standout job description and securing the perfect hire. And there's more! Technical tasks, rocket science and how to avoid collecting underpants. 

    • 37 min
    How to Build a Data Science Team (with Andreas Gertsch Grover)

    How to Build a Data Science Team (with Andreas Gertsch Grover)

    Joined by guest Andreas Gertsch Grover (Director of Data at Scout24 SchweizAG, former Director of Data at Charlotte Tilbury), Greg and Kelly discuss what makes a great data science team: how to hire the right blend of people, where the data team should sit in the org chart, and how to empower a data team to be truly successful.

    • 29 min

Customer Reviews

4.9 out of 5
10 Ratings

10 Ratings

jbiano ,

Getting in front of the curve

This is a must-listen for business leaders who instinctively feel they need to (better) utilise the data at their disposal but aren’t sure how to take that first step.

Kat Patterson ,

Brilliantly insightful.

Really interesting, clear and thought provoking insights about the evolution of big data science team building, and what this could mean for your business.

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