Job Description

Intermediate Data Scientist at JUDI.AI

------------------------------------------

Location:

Vancouver, BC (Hybrid - office in Kitsilano)

###

JUDI.AI - who we are

At JUDI.AI, we're on a mission to help transform small business dreams into vibrant communities. As a fast-paced fintech startup, we provide financial institutions with the tools to better understand and serve small businesses. Our values of

Caring, Innovative, and Trustworthy

guide everything we do, from our products to our culture.



We're growing quickly, and our Data Science team drives much of the innovation at the heart of JUDI.AI. If you're looking to apply your skills to impactful real-world problems while helping shape the future of small business lending, we'd love to meet you.

###

The Role

We're looking for an

Intermediate

Data Scientist

to join our collaborative team in Vancouver. This role is a mix of

data science, data engineering

and

analytical support

, with opportunities to contribute to production code in a startup environment where everyone wears multiple hats. You'll work closely with product managers and company leadership to deliver data insights, help build modern pipelines, prototype new models, and help scale our operations.



This is an exciting opportunity to join early in our growth journey. You'll be learning from a strong talent pool while building our next generation models, infrastructure and capabilities that will shape the future of JUDI.AI.

###

What You'll Do

Explore and analyze

financial transaction and loan performance data

to generate insights and prototype models.


Build and evaluate

risk models

(e.g., logistic regression, decision trees) and explore new techniques (including NLP and more advanced ML methods).


Contribute to building

modern pipelines

by building data engineering tools and performing QA and documentation tasks


Perform

data analytical investigations

that support Judi's commercial and leadership teams

Research

emerging approaches and tools, bringing fresh ideas into our modeling and analytics processes.


Contribute to production code when needed. While this isn't the core of the role, you will gain exposure

to MLOps practices

and tools.


Communicate findings clearly to both technical and non-technical audiences, helping translate data into business impact.

###

What We're Looking For

Solid foundation in

machine learning

and

statistics

(academic or applied).


Proficiency in

Python

(scikit-learn, pandas, NumPy) and

SQL

.


Strong analytical and problem-solving skills, with attention to data quality and detail.


Excellent

communication skills

. You will need to be able to explain complex concepts simply to stakeholders.


Collaborative, personable, and eager to learn and contribute to a team-oriented culture.


Curious and ambitious: you enjoy exploring new techniques, reading research, and trying out new approaches.


1-3 years profession experience as a data scientist OR Master's degree in related field

###

Bonus Points

Familiarity with tools like Docker, FastAPI, MLFlow, or cloud environments.


Experience with financial data and/or credit risk (not required, but a plus).

###

Why Join Us

Be part of a mission-driven startup transforming how small businesses access credit.


Work closely with a talented and supportive team that values both technical rigor and collaboration.


Hybrid setup: work remotely but meet weekly in our Kitsilano office to share knowledge and stay connected.


Extra-long weekends: whenever there's a public holiday, you'll get

an additional day off

on top.


Opportunity to learn fast, grow your skills, and make an outsized impact at an early stage of company growth.