As a member of our dynamic Data Science team, you will collaborate with a cutting-edge research group comprising data scientists, data analysts, and data engineers, all dedicated to providing data-driven solutions within the real estate asset management industry.

Your primary focus will be on an innovative project centered around a Large Language Model (LLM)-based application designed for querying real estate data. In this role, you will be instrumental in supporting the data science team’s efforts to develop and optimize large language models, enabling them to generate invaluable insights that respond to clients’ inquiries related to real estate data. This internship presents a unique opportunity for hands-on experience in data science and generative AI within the context of the real estate domain.

Key Responsibilities

• Perform an exhaustive review of state-of-the-art methodologies and recent advancements within the domains of large language models and natural language processing.

• Engage in collaborative efforts with the data science team to support the development and refinement of the LLM-based model tailored for real estate data queries.

• Play a pivotal role in shaping a user-friendly query interface for clients, with a focus on achieving rapid execution, consistent stability, and cost-effectiveness, thereby ensuring an exceptional user experience and prudent resource allocation.

• Currently pursuing a master degree in mathematics, data science, computer science, natural language processing, or a related field.

• Basic knowledge of natural language processing techniques and experience working with large language models is a plus.

• Effective communication skills to collaborate with team members and present findings.

• Ability to work independently and within a team, adapt to fast-paced environments, and meet project deadlines.

• Good programming skills in Python and familiarity with data science

• LLM libraries is a bonus.

 1. An assessment test with 3 to 5 data science related questions.
 2. Company and position presentation (video or phone call, about 15 minutes).
 3. Technical assessment: home assignment of a concrete data science task plus 2-hour interview (video call).
 4. Fit interviews with various members of the team (face-to-face).