Michael Cohen joined PriceHubble as Head of Data Science in March 2022. We have talked with Michael about his impressions and experiences during his first 100 days.
First 100 days: meet Michael
- Inside PriceHubble
Describe your first 100 days in three words.
Enriching. Fascinating. Intense.
What is your impression of PriceHubble after your first 100 days?
PriceHubble is a motivating, fast-paced and welcoming environment. One of the most impressive aspects is how the company manages to be at the forefront of innovation and real estate valuation in so many different countries, in spite of their local specificities in terms of real estate market, available data or legal frameworks.
What is the role of head of data science?
It is manyfold! At a high level, it goes from designing the Data Science roadmap with our Product organisation, to guiding Data Scientists through their professional development journey, while driving efforts around team growth or Machine Learning architecture.
But looking at more specific aspects, it also involves data quality and security (a key part of the data area), supervising model reliability processes or ensuring our ML platform’s scalability.
What exactly is your team doing and which teams do you work with?
The Data Science team (that we call «Value», internally) is delivering PriceHubble’s automated valuation models for real estate properties. In practice, it means that our Machine Learning models infer the value of any property in countries where PriceHubble is doing business.
It doesn’t stop there, however. The Data Science team is also owning the «Real Estate Insight» data products at PriceHubble. This can be about analysing the property's price sensitivity to specific data fields, or delivering «price maps» that help our customers visualise which geographical areas are hotter than the others–real estate-wise!
Our main collaborators are the Data Product and the Data Engineering teams. But everyone collaborates at PriceHubble, so we can also interact with the countries’ Managing Directors, DevOps teams or Business Intelligence groups, for instance. And, look at this Q&A, with our communication team too!
What characterises the work of PriceHubble's data science team? Is there anything that is different from your previous experience in this field?
At PriceHubble, Data Scientists have a very strong engineering culture, and this is reflected in their day to day work. In some organisations, Data Science can be just about creating reports, prototyping models and handing them over to another production team. At PriceHubble, it’s different: Data Scientists work with many different frameworks and stacks and are enabled to actually go to production with their models. This offers them a very gratifying sense of ownership.
What surprised you during your first 100 days at PriceHubble?
I was extremely happy to see how committed the teams are in order to keep the whole organisation successful. Every day, I work with engineers dedicated to their mission and who want to see their team deliver the best products available on the market.
Is there anything else you would like to say about PriceHubble?
It’s a company that brings together many cultures, with offices everywhere in Europe, and people that come from all over the world. But it’s also a group of happy and energetic individuals, who want to team up, be bold and contribute to the automation of the real estate valuation world!
First 100 days: meet Yann
Yann Landrin Schweitzer joined PriceHubble as Chief Data Officer on February 1, 2022. We spoke to Yann about his first 100 days.
- Inside PriceHubble
Maximising Retirement: Why firms should embrace property integration to help secure their client's futures
Retirement planning has always been a critical aspect of an individual's financial well-being. However with the decreasing pension provision in the UK, people are recognising the importance of incorporating their property into retirement plans.
- Experts Corner
UK real estate market: How can banks leverage local property data?
Customer centricity, personalised experiences and meaningful relationships are key factors in the success of banks and financial service providers. It is also evident that real estate is the perfect anchor point for banks and financial service providers to get closer to their customers, due to it being a particularly emotional asset class.
- Best Practices & Trends