MLP announces executive leadership team reshuffle

Open GI company Machine Learning Programs (MLP) has made changes to its executive leadership team.

In a statement released today (19 September 2023), the firm said it was making the move as it prepares to embark on the next phase of its growth journey.

As part of the changes, cofounder Breanndán Ó Nualláin will move to the newly created role of chief information and technology officer.

He will have oversight of the data science function and take responsibility for ensuring the demands of new customers are met by the company’s technology structure.

Meanwhile, fellow cofounders Tom Murphy and Julian Holloway will move to interim board advisers before an agreed exit from the business in December 2023.

Chief executive Damian Baxter said: ”It’s a pivotal time for us as more businesses explore ways to combine insurance and data science.

”I’d also like to take the opportunity to thank Tom and Julian. What the company has achieved since the launch of MLP in 2018 is unmatched and we remain at the forefront in the industry thanks to their vision and innovative approach.”

Other appointments

As part of the changes, David Langerveld has been appointed as director of data science following four years at the company as lead data scientist. 

He will lead a team of 10 data scientists as they work on the algorithms that power the company’s products – MLP Score, Propensity to Claim and Intelligent Pricing.

“I’m looking forward to continue to work with our team to build the best machine learning tools on the market,” Langerveld said.

Meanwhile, James Parry has been appointed as commercial director, having previously been head of product.

The role will see Parry focus on helping the general insurance market use data science. 

”I’m delighted to be joining the executive leadership team at such a key time for MLP as more organisations embrace the role of machine learning and artificial intelligence,” he said.

”I look forward to driving our strategic focus to support more businesses in the GI industry as they embrace and leverage the impact and power of data science to help assess risk, reduce fraud and improve loss ratios.”