Along with its affiliate companies, Affinius Capital invests across the risk spectrum for a global client base, managing over $64 billion in gross assets under management within a diversified portfolio across North America and Europe. Affinius Capital provides strategic equity and debt capital, including to capitalize on the accelerating demand for technology-driven real estate assets, to meet the critical need for housing solutions, and for other market and capital structure opportunities exhibiting compelling risk-return characteristics. For more information, visit affiniuscapital.com.

The Data Science Intern will contribute to research initiatives aimed at enhancing company leadership, the real estate investment process, capital raising, and client services. The primary focus of this role is developing and maintaining proprietary research databases and models to support data-driven decision-making.

Essential Duties

Conduct statistical analysis and apply machine learning techniques to extract insights from data.
Collaborate with the data science team to expand and enhance GenAI capabilities.
Work on innovative projects integrating predictive AI models with GenAI, including feature engineering enhancements and anomaly detection.
Partner with the U.S. quantitative research team to ensure quantitative analysis informs investment recommendations.
Utilize economic and real estate market data to support investment decision-making.
Assist research team members in managing real estate databases and subscriptions, ensuring timely updates and accuracy. Engage IT support as needed.
Actively participate in research team meetings, contributing insights and discussion points.
Communicate complex technical concepts in a clear and accessible manner, tailored to different audiences.
Work under broad supervision while maintaining a high degree of collaboration and accountability.
Perform additional duties as assigned.

Minimum Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Computational Social Science, Business Analytics, Computer Engineering, Quantitative Finance, or Operations Research. A graduate degree and/or professional designation is preferred.
• Proficiency in SQL, with a willingness to learn or experience in dbt, Airflow, or other data orchestration frameworks.
• Familiarity with AWS tools such as Glue, Redshift, and ECR.
• Strong programming skills in Python and R.
• Experience merging and analyzing large, diverse datasets.
• Ability to translate complex technical concepts into non-technical language.
• Knowledge of data mining techniques and tools using Python, R, or other programming languages.

Affinius Capital complies with laws and regulations that permit certain requests related to your data in our files, including, but not limited to, the California Consumer Privacy Act (the “CCPA”). The Company's privacy policy and contact information for questions regarding your data or the policy may be found here.   

At Affinius Capital our employees enjoy generous benefits packages including comprehensive medical, dental and vision plans, 401k, educational and professional designation assistance, business casual dress attire and much more! Qualified applicants must successfully complete a pre-employment background and drug screen. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Affinius Capital is an Equal Opportunity Employer. Qualified applicants will receive consideration without regarding to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.