How to thrive in a start-up environment - lessons from a Data Science Leader

Let’s Talk Data

What does it take to start a career in data science and land your first job? Mike Holmes, the Head of Data Science at Provenir, shares his insights. Mike talks about his journey from the early days of data science to now.

With experience in both startups and large companies, he offers a unique view of the field. He discusses the importance of hiring diverse teams, continuous learning, and having an entrepreneurial mindset. We also look at how AI can help us overcome productivity challenges, leading to more efficiency and innovation. Mike's journey and advice will give you valuable tips if you’re looking to enter the world of data science.

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Welcome to “Let’s Talk Data”, a deep dive into the transformative realm of data with the trailblazers of this disruptive industry.

Your host Emma Crabtree explores the latest trends and developments in the data sector, while also delving into the personal stories of these data pioneers.

They reveal how they harness data, not just in business, but in shaping their everyday lives, from optimising daily routines to making data-informed decisions. You'll hear about their motivations, role models, and how they plan to use their position to innovate, inspire and influence change.

Many companies today are still missing the golden opportunity to unlock true potential with their data. Our conversations will shed light on this untapped potential as well as the pivotal role that data professionals play in driving progress.

“Let’s Talk Data” is your go-to source for inspiration and knowledge, providing a front-row seat to the future of data-driven insights and innovations.

0:00 Data science careers, AI, and company size preferences.

2:06 Scaling teams, balancing innovation and practicality, and getting feedback from customers.

7:06 Using data science and AI in financial services, with a focus on problem-solving and organisational skills.

12:14 Data science evolution, remote work, and team motivation.

17:59 Career development, learning, and personal growth.

23:49 Leadership, entrepreneurship, and data analysis.

28:57 Data trends, AI, and productivity.