Associate Data Scientist
- Level
- Mid
Not stated in the posting: salary, work type, visa.
Open. First seen 8 October 2026.
About the role
About Bureau
Bureau's standard text
Bureau is a unified risk decisioning platform for Compliance, Fraud, and Transaction risks. Our platform is a single decision-making engine, powered by a 1 billion+ identity knowledge graph. Over 150 Banks, fintechs, retailers, and digital platforms use Bureau to verify identities faster and stop fraud earlier globally.
Bureau has raised $50M+ from renowned Silicon Valley and global investors including Sorenson Capital and PayPal Ventures and is expanding rapidly from APAC to Americas, Europe, and beyond.
Bureau's standard text
Why Bureau?
Bureau is building the infrastructure that makes digital identities and transactions safe and trustworthy for billions of people. The mission is big, the problems are complex, and the impact is real.
We hire people who want that level of responsibility. People who move fast, build systems from scratch, and care deeply about turning strategy into execution. If you want predictability or narrow scope, this won't be your place. If you want to shape how a scaling global company operates—keep reading.
What You'll Do
- Build and maintain features and components for graph-native models (GNNs, embeddings, graph algorithms) used to detect fraud, collusion, and identity risk
- Support the design, training, and evaluation of statistical, AI/ML, and deep learning models for fraud and risk, under a senior data scientist's guidance
- Run experiments, clean and prepare data, and do light pipeline work to help tune model performance
- Write production-quality code backed by statistics and ML, and help build out ML observability for the models you work on
- Document your work clearly enough that others on the team can pick it up
What You'll Bring
- BS/MS in ML, CS, Math, Stats, or a related field; 1 to 3 years in DS/AI/ML Engineering roles (internships with real shipped work count)
- Strong Python; working knowledge of SQL; exposure to a cloud platform (AWS/Databricks/Azure) is a plus
- Some experience taking a model from a notebook toward something production-adjacent, ideally with fraud, risk, payments, or compliance data — but we'll take strong fundamentals over domain experience
- Comfort with ambiguity and unlabelled data, and the initiative to ask questions and look things up rather than wait to be told
- Prior exposure to graph-based thinking (even coursework or personal projects) is a plus, not a requirement
Bureau's standard text
Our Culture
- We hire self-motivated people and get out of their way
- We value performance, not hours worked
- Speed, ownership, and impact matter most
Compensation
- Competitive salary + potential equity
- Health benefits, flexible PTO, learning budget
What this role asks for
Particular to this role
Deep Learning
Rare in Bureau's other 12 open postings.
Standard for data science / ML roles
Machine Learning · Python · SQL
Common in data science / ML postings at any company.
62% of this description is written for the role. The rest is Bureau's standard text, folded away below.
Read against Bureau's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 7 open in Engineering. 2 were posted in the last 30 days and the oldest in July: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
AWS (6 of 7), Python (5 of 7), REST (5 of 7), Databricks (4 of 7), Java (4 of 7), SQL (4 of 7), Android (3 of 7)
OTHER ROLES ON THIS TEAM
- Data Engineer posted Sep 22
- Senior Data Scientist posted Sep 18
- Senior Android Engineer posted Aug 13
- Sr. Technical Program Manager - Enterprise Delivery posted Aug 12
- Senior Data Engineer posted Aug 10
- Integration Engineer (SDK) posted Jul 6
From the team and dates on Bureau's own job board.
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