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PODCAST

Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.

Dr Genevieve Hayes

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; •

technology

All Episodes

24:54

Episode 98: Building Trust in AI Through Model...

Value Driven Data Science: Boost your impact. Earn... ·

2026/03/18

When your machine learning model makes a decision that affects someone's medical treatment, financial security, or legal rights, "the algorithm said so" isn't good enough. Stakeholders need to understand why models make the decisions they do, and in high-stakes environments, model interpretability becomes the difference between AI adoption and AI rejection.In this episode, Serg Masis joins Dr. Genevieve Hayes to share practical strategies for building interpretable machine learning models

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10:59

Episode 97: [Value Boost] Mathematical Modelling as a...

Value Driven Data Science: Boost your impact. Earn... ·

2026/03/11

Data scientists often jump straight to machine learning when tackling a new problem. But there's a foundational step that can dramatically increase your chances of project success and create more reliable business value. Mathematical modelling from first principles provides a low-cost scaffolding that can make your machine learning work more robust.In this Value Boost episode, Dr. Tim Varelmann joins Dr. Genevieve Hayes to explain how building models from physics principles, like mass and

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26:15

Episode 96: Making Better Decisions with ML and...

Value Driven Data Science: Boost your impact. Earn... ·

2026/03/04

Data scientists use optimisation every day when training machine learning models, without even thinking about it. But there's another type of optimisation - that many data scientists are unaware of - that can be used to dramatically boost the business value of your ML outputs. This second layer transforms predictions into optimal decisions, and it's where the real impact often happens.In this episode, Dr. Tim Varelmann joins Dr. Genevieve Hayes to explain how combining machine learning with

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11:57

Episode 95: [Value Boost] Building Models That Work...

Value Driven Data Science: Boost your impact. Earn... ·

2026/02/25

Building a model for an academic paper is one thing. Building a model that has to work perfectly during the Cricket World Cup with millions watching is something else entirely. There's no room for the kind of errors that might be acceptable in research settings or even standard business applications.In this Value Boost episode, Prof. Steve Stern joins Dr. Genevieve Hayes to share practical lessons from deploying the Duckworth-Lewis-Stern method in high-pressure, real-time environments where

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35:24

Episode 94: Creating Global Impact with Data Science

Value Driven Data Science: Boost your impact. Earn... ·

2026/02/18

For most data scientists, the idea of impacting the world through your work seems impossible. You may be developing technically brilliant solutions within your organisation, but seeing them become industry standards or influence global decisions feels completely out of reach.In this episode, Prof. Steve Stern joins Dr Genevieve Hayes to share how he transformed a mathematical critique of a cricket scoring system into becoming the custodian of the globally adopted Duckworth-Lewis-Stern

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9:32

Episode 93: [Value Boost] What Industry Data...

Value Driven Data Science: Boost your impact. Earn... ·

2025/12/17

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 skills that many industry-trained data scientists never develop.In this Value Boost episode, Dr. Sayli Javadekar joins Dr. Genevieve Hayes to flip the script on their previous conversation, exploring the valuable skills that academic-trained data scientists bring to industry and how any data scientist can develop these same

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24:10

Episode 92: Making the Academia to Industry Leap in...

Value Driven Data Science: Boost your impact. Earn... ·

2025/12/10

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 skills that many industry-trained data scientists never develop.In this Value Boost episode, Dr. Sayli Javadekar joins Dr. Genevieve Hayes to flip the script on their previous conversation, exploring the valuable skills that academic-trained data scientists bring to industry and how any data scientist can develop these same

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12:26

Episode 91: [Value Boost] How Your Hobbies Can...

Value Driven Data Science: Boost your impact. Earn... ·

2025/12/03

Activities outside of data science can strengthen the very skills data scientists need for their careers in surprising ways. From improving stakeholder communication to learning how to work with resistance rather than against it, hobbies and interests often teach lessons that directly translate to professional effectiveness.In this Value Boost episode, Colin Priest joins Dr. Genevieve Hayes to explore how unexpected hobbies and activities can make you a more effective data scientist and

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29:15

Episode 90: Using LLMs to Become a More Effective...

Value Driven Data Science: Boost your impact. Earn... ·

2025/11/26

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 the only application you're exploring, you're missing some of the most powerful opportunities to enhance your effectiveness as a data scientist.In this episode, Colin Priest joins Dr. Genevieve Hayes to explore advanced LLM applications that go far beyond code generation, including techniques for processing unstructured data,

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9:58

Episode 89: [Value Boost] LinkedIn Strategies for...

Value Driven Data Science: Boost your impact. Earn... ·

2025/11/19

LinkedIn has become a powerful career tool for data scientists willing to invest the time. Regular posting can lead to unexpected work opportunities, reconnections with former colleagues, and valuable networking with professionals worldwide. But making the leap from occasional posting to consistent content creation can feel overwhelming.In this Value Boost episode, Sarah Burnett joins Dr. Genevieve Hayes to share practical LinkedIn strategies that can transform your data science career.In

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26:37

Episode 88: Building a Data Science Career After...

Value Driven Data Science: Boost your impact. Earn... ·

2025/11/12

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 interview. The demand for data scientists massively outweighed supply. Ten years later, however, the job market has dramatically shifted - and many data scientists who unexpectedly find themselves out of work face a truly overwhelming experience.In this episode, Sarah Burnett joins Dr. Genevieve Hayes to share how she transformed

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15:58

Episode 87: [Value Boost] How Your Weirdness Could Be...

Value Driven Data Science: Boost your impact. Earn... ·

2025/11/05

When most data scientists think about their competitive edge, they focus solely on what goes on their resume - education, work experience, and technical skills. But what if the things that truly make you irreplaceable go far deeper than your LinkedIn profile? Your family background, cultural influences, communication quirks, and even the hobbies that make you nerd out all contribute to what makes you uniquely valuable.In this Value Boost episode, Danny Ruspandini joins Dr. Genevieve Hayes

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29:26

Episode 86: Why Every Data Scientist Is Already...

Value Driven Data Science: Boost your impact. Earn... ·

2025/10/29

Every data scientist is running their own business - it's just that most of those businesses are solo operations with one client: their employer. Unfortunately, most data scientists don't realise this and too many fall into the trap of believing their employer will magically take care of their career development, putting them on the right projects and ensuring they get proper training. The reality is that while bosses usually mean well, they have their own careers to worry about.In this

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9:57

Episode 85: [Value Boost] The Office Politics...

Value Driven Data Science: Boost your impact. Earn... ·

2025/10/22

Here's something that data science courses don't prepare you for: even your most brilliant analysis can fail if you can't navigate the human side of your organisation. And office politics becomes especially tricky when you're running experiments. You're essentially asking people to place bets on their ideas - and then potentially delivering the news that their bet didn't "win".In this Value Boost episode, Miguel Curiel joins Dr. Genevieve Hayes to share practical strategies for handling the

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24:35

Episode 84: The 7-Step Checklist for Creating...

Value Driven Data Science: Boost your impact. Earn... ·

2025/10/15

When working with data, it can be easy to fall into the trap of believing that your dataset represents nothing more than numbers on a page. However, behind every data point is a human story - people clicking through websites, abandoning shopping carts, or binge-watching Netflix shows. And in our app-driven world, understanding these human behaviours has become absolutely critical - for businesses to flourish and for data scientists to have a meaningful impact in the work they do. This is

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10:12

Episode 83: [Value Boost] How to Gamify Data Science...

Value Driven Data Science: Boost your impact. Earn... ·

2025/10/08

Stakeholder requirement gathering is often one of the most dreaded parts of data science projects - dry, tedious sessions where conflicting voices talk past each other and senior executives dominate the conversation. Yet without proper requirements, data science projects are doomed to fail due to solving the wrong problems or missing critical business needs.In this Value Boost episode, David Cohen joins Dr. Genevieve Hayes to reveal how gamification can transform stakeholder meetings from

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24:16

Episode 82: Why You Should Start Your Data Projects...

Value Driven Data Science: Boost your impact. Earn... ·

2025/10/01

Most data scientists follow the same predictable process: gather requirements, collect data, build models, and only at the very end create visualisations to communicate results. This traditional approach seems logical, but what if it's actually working against us? In this episode, David Cohen joins Dr. Genevieve Hayes to reveal how flipping the script on data visualisation - moving it to the beginning of projects rather than the end - can dramatically improve stakeholder buy-in and project

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11:28

Episode 81: [Value Boost] How to Frame Data Problems...

Value Driven Data Science: Boost your impact. Earn... ·

2025/09/24

Data science training programs often jump straight into technical methods without teaching one of the most critical skills for project success - problem framing. Without proper framing, data science projects are doomed to fail, right from the start, as data scientists find themselves solving the wrong problems or building models that don't address real business decisions.In this Value Boost episode, Professor Jeff Camm joins Dr. Genevieve Hayes to reveal the specific problem framing

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29:54

Episode 80: Why Decision Scientists Succeed Where...

Value Driven Data Science: Boost your impact. Earn... ·

2025/09/17

Most data scientists have never heard of decision science, yet this discipline - which dates back to WWII - may hold the key to solving one of data science's biggest problems: the 87% project failure rate. While data scientists excel at building models that predict outcomes, decision scientists focus on modelling the actual business decisions that need to be made - a subtle but crucial difference that dramatically improves success rates.In this episode, Prof Jeff Camm joins Dr. Genevieve

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12:52

Episode 79: [Value Boost] The Win Win Data Product...

Value Driven Data Science: Boost your impact. Earn... ·

2025/09/03

One of the biggest risks for independent data professionals is spending months or years developing a product or service that nobody wants to buy. The graveyard of failed data science projects is filled with technically brilliant solutions that solved problems no one actually had, leaving their creators with empty bank accounts and bruised egos.In this Value Boost episode, Daniel Bourke joins Dr. Genevieve Hayes to reveal practical strategies for validating data product ideas before

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52 results

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