Data Science Investment Analyst

A/O PropTech

London, GB
  • Job Type: Full-Time
  • Function: Venture Capital
  • Post Date: 03/23/2021
  • Website:
  • Company Address:

About A/O PropTech

A/O PropTech:

A/O PropTech is Europe’s largest Proptech (property technology) venture capital firm which invests in technology start-up companies disrupting the real estate industry. A/O PropTech announced its latest €250mn vehicle in February 2020, with a unique permanent capital approach, a strategic real estate portfolio sandbox of over €35bn provided by its LPs and a unique approach to venture investing with a team of real estate, finance, data science and engineering professionals.
At A/O PropTech we have a stage, geographic, and segment agnostic investment approach: We back innovation from Series A onwards, in Europe, US and Israel and across all sectors of the RE industry (office, resi, hotels, logistics, construction, etc). We target companies who are enabling the industry, creating efficiencies, revenue growth opportunities and we also have a focus on technologies enabling the decarbonisation of the industry as well.
Through our strategic RE sandbox, we enable founders to test, pilot, iterate and scale disruptive tech-enabled products, services, and platforms and help them navigate the complexities of the real estate ecosystem at scale.
Shaped by decades of real estate asset investing and operations as well as data science management and technology experience, A/O Proptech’s mission is to transform real estate into a more digital, efficient, and accessible asset class by applying innovative technologies and business models. A/O’s vision is to improve quality of life, accelerate sustainable living, and enable the decarbonization of the largest asset class in the world.

Our values:

Humility – respect – curiosity – honesty – impact – courage – selflessness
To learn more about our vision please read here:

Job Description





·       Actively participate in all technology and analytics Due Diligence

·       Market and competitive landscape monitoring

·       Interact with deal teams to understand business drivers and validate new data

·       Own and develop data pipelines and models

·       Take ownership of collecting new data and refine our existing data sets

·       Work on cutting edge data-related software engineering areas like embedded analytics or machine learning

·       Adopt best practices for reporting and analysis, and insist upon the highest standards at all times

·       Perform exploratory and targeted data analyses and translate data analytics outcomes into clear visualizations

·       Report on analytics findings to senior leadership

·       Development of our cloud infrastructure and data reporting tools

·       End-to-end analysis including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations

Your profile:

·       2+ years of experience delivering software for analytical data solutions with big business impact

·       Very good command of SQL. Strong knowledge of Python, JavaScript or other high level programming languages and a desire to learn new ones

·       Experience orchestrating continuous integration setups, working with version control (e.g. Git), and Agile methodologies (e.g. Scrum)

·       Previous experience of building ETL/ELT pipelines

·       Skilled in data lake and data warehouse design, maintenance and governance

·       Experience in data normalization/denormalization

·       You are an organized person who works well under pressure and with little direction

·       Ability to communicate the value of using data to form decisions and predictive modelling

·       Excellent communication skills with ability to articulate concepts in plain English

·       Interest in real estate & PropTech

·       BSc or equivalent experience in computer science, engineering, computational physics, mathematics or another field with strong computational curriculum. MSc/PhD in similar subjects desirable





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A/O PropTech - London, GB
Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.