This week we're thrilled to be joined by Ali Saad, Data Science Lead at Connected Kerb, one of the UK’s leading EV charging companies.
Ali takes us under the hood of some of the data science work that is critical for those building out the country’s EV charging infrastructure. He explains the age-old challenges of data quality, access, and cost and how this impacts the focus of his team.
Adam quizzes Ali on his day-to-day life as a data science lead. They dig into how he prioritises projects, how data science fits within the broader organisation, and some of the big considerations when building a data science team.
Finally, Ali and Adam look ahead at the direction of the industry. They discuss the impact of emerging technologies, and Ali shares his vision for a nationwide, dynamic pricing system to balance the grid and benefit EV users.
In this episode, Adam and Ali cover:
- The role of EV charging in achieving grid balance
- How to prioritise data science projects in a start-up
- Why your ‘dream team’ may not be the best team when scaling
- Industry experience vs technical skill set: Which is most important?
- The impact of technologies like GenAI on data analysis and modelling
Links from the episode:
Chapter Markers
[0:48] Introduction to Ali Saad, his background, and his role at Connected Kerb.
[01:47] Using Data and AI to optimise EV charging infrastructure.
[05:43] Challenges with EV charging data access, quality, and cost.
[08:40] Defining a data science strategy and prioritising projects as a start-up.
[10:33] A Day in the Life of a Data Science Lead.
[11:26] Key considerations for building a data science team when scaling-up.
[15:49] The most important skills and qualities to look for when hiring.
[18:35] The impact of emerging technologies like GenAI on data science at Connected Kerb.
[19:52] How new technologies and data science trends will advance the energy sector.
[22:59] Areas of focus for young data professionals looking to enter the industry.
