10 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 • 11 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?

    Nurturing a Data Science Team Within a Large Organisation (with Sanjeevan Bala)

    Nurturing a Data Science Team Within a Large Organisation (with Sanjeevan Bala)

    Greg and Kelly chat to Sanjeevan Bala, Group Chief Data & AI Officer at ITV, and former Head of Data Science at Channel 4. Sanjeevan explains why decoding a company's culture is key to data success, how to set the right targets for a company's data function, and how to sell stakeholders on what data can do.

    • 40 min
    What is a Data Product Manager? (with Georgie Peake)

    What is a Data Product Manager? (with Georgie Peake)

    Kelly and Greg are back, and they have questions: What's a data product? What's a data product manager? Is their special guest one? Yes, she is! Georgie Peake, Data Product Manager at Filtered, talks you through those questions and more, breaking down what a data product manager does, why their skillset is important, and how their work can make businesses better.

    • 25 min
    Raising the Profile of Women in Data (with Katie Russell)

    Raising the Profile of Women in Data (with Katie Russell)

    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

Customer Reviews

4.9 out of 5
11 Ratings

11 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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