Are you tired of spending hours mastering the latest data science techniques, only to struggle translating your brilliant models into brilliant paychecks?

It’s time to debug your career with Value Driven Data Science. This isn’t your average tech podcast – it’s a weekly masterclass on turning data skills into serious clout, cash and career freedom.

Each episode, your host Dr Genevieve Hayes chats with data pros who offer no-nonsense advice on:
• Creating data solutions that bosses can’t ignore;
• Bridging the gap between data geeks and decision-makers;
• Charting your own course in the data science world;
• Becoming the go-to data expert everyone wants to work with; and
• Transforming from data scientist to successful datapreneur.

Whether you’re eyeing the corner office or sketching out your data venture on your lunch break, Value Driven Data Science is here to help you rewrite your career algorithm.

From algorithms to autonomy - it's time to drive your value in data science.

Latest Episodes

Episode 92: Making the Academia to Industry Leap in Data Science

While the transition from academia to industry can be brutal for data scientists, academics don't show up in industry empty-handed. They bring powerful transferable sk...

Episode 91: [Value Boost] How Your Hobbies Can Supercharge Your Data Science Career

Activities outside of data science can strengthen the very skills data scientists need for their careers in surprising ways. From improving stakeholder communication t...

Episode 90: Using LLMs to Become a More Effective Data Scientist

When most data scientists think about using LLMs and generative AI, the first thing that springs to mind is writing code faster. While that's certainly useful, if it's...

Episode 89: [Value Boost] LinkedIn Strategies for Boosting Your Data Science Career

LinkedIn has become a powerful career tool for data scientists willing to invest the time. Regular posting can lead to unexpected work opportunities, reconnections wit...

Episode 88: Building a Data Science Career After Unexpected Job Loss

There was once a time, when data science was still in its infancy, when demonstrating any attempt to learn Python or machine learning was enough to secure a job interv...

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