Junior level role | 1–3 years' experience)
January Capital is an established venture capital manager headquartered in Singapore. At January Capital, we seek to invest in technology businesses that will power growth in the Asia-Pacific region over the coming decades. We manage more than US$450 million of assets on behalf of our investors, who comprise leading institutions, foundations, family offices and individuals.

Data is at the core of everything we do at January Capital. We are building a continuously updating world model of ambitious people and the companies they create—a temporal graph that spans careers, not just current roles. By tracking individuals across their full arc to date, we surface signal earlier than any reactive competitor. There are a multitude of data points across Asia Pacific, and this role will help synthesise those signals and extract incremental value from the data.

As a Junior Data Scientist, you'll join the Data Science & ML squad, turning the raw signal flowing through the graph (people moves, company events and funding activity) into analysis the investment team can act on. This is a hands-on, analysis-heavy role. You won't own model architecture on day one, but you'll be doing real work against real data from week one: exploring datasets, validating pipeline output, building features, and helping quantify what actually predicts a good investment.

Working closely with the Data Engineer, product managers and the investment team,




Investment intelligence & analysis – Analyse people, company and signal data across the graph to identify what correlates with a strong investment outcome. Build and iterate on features that feed scoring and signal models, and help test hypotheses about which signals—such as career moves, hiring velocity, product launches and funding events—predict the "moment of maximum signal."

Data quality & pipeline support – Validate data quality coming out of ingestion pipelines, working closely with the Data Engineer. Write ad hoc SQL and Python analysis to answer investment-team questions about coverage, freshness and signal recall, and help maintain internal dashboards for pipeline health and model performance.

The role offers a competitive salary and equity in a product built to become a standalone company.

1-3 years of experience in data science or analytics (strong internships count).
~ Strong SQL and Python (Pandas, scikit-learn or similar).
~ Comfortable working with messy, real-world data: entity resolution issues, missing values, duplicate records.
~ Genuine curiosity about company and people data, and how it connects to venture investing—prior VC experience favourable.

Exposure to graph data structures or network analysis.
Familiarity with private markets or startup ecosystems.
Experience working in a small, rapid-moving startup environment.

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