Senior Data Scientist, Trellis

$210-225k

Offers bonuses, and equity opportunities to invest in your future

SQL

Python

Tensorflow

NumPy

Pandas

Scikit-Learn

Plotly

PyTorch

Sagemaker

Senior and Expert level

Remote from Canada, US

P&C insurance data services

Be an early applicant

P&C insurance data services

21-100 employees

FintechB2BEnterpriseInsuranceAPI

Be an early applicant

$210-225k

Offers bonuses, and equity opportunities to invest in your future

SQL

Python

Tensorflow

NumPy

Pandas

Scikit-Learn

Plotly

PyTorch

Sagemaker

Senior and Expert level

Remote from Canada, US

21-100 employees

FintechB2BEnterpriseInsuranceAPI

Company mission

To build industry-leading solutions that make insurance easy for everyone, from consumers to partners to insurers.

Job

Company

Role

Who you are

If you’re hungry to make an impact and love solving complex problems with a scrappy crew, you’ll love it here
5+ years of experience as a data scientist or applied researcher, ideally in tech, fintech, or advertising
Strong statistical foundation with hands-on experience using scikit-learn, statsmodels, TensorFlow, or PyTorch
Proven ability to perform exploratory data analysis (EDA) and communicate findings clearly through notebooks and visualization
Experience using Vertex AI, SageMaker, or other ML lifecycle platforms for experimentation and model deployment
Fluency in SQL and Python data tooling (pandas, NumPy, Plotly, etc.)
Deep curiosity about how data is created, transformed, and used to drive business outcomes
Pragmatic mindset — balancing research depth with real-world impact and iteration speed

What the job involves

Trellis is hiring a Senior Data Scientist to drive exploratory analysis and model development for data-scarce and emerging problems in our Real-Time Bidding (RTB) and pricing systems
You’ll focus on understanding the limits and potential of smaller datasets – helping the team quickly assess which projects are viable, what data needs to be improved, and where machine learning can scale impact
You’ll design and conduct exploratory studies, create transparent analytical reports, and build research-grade models that inform business decisions and evolve into production-ready systems
This role sits at the intersection of analytics, modeling, and product – collaborating closely with ML engineers, software engineers, and BI to turn ambiguous problems into scalable solutions
Reporting directly to the Head of RTB, Thomas Boquet
Perform deep exploratory analysis to assess project feasibility and uncover data quality or coverage issues
Build clear, reproducible Jupyter or Colab notebooks that communicate insights visually and narratively
Partner with product and engineering to understand data generation processes and identify gaps
Develop statistical and ML models (scikit-learn, statsmodels, TensorFlow, PyTorch) for pricing and bidding use cases
Prototype predictive models that can be scaled by the ML engineering team into production systems
Leverage Vertex AI or equivalent tools for experimentation, training, and deployment workflows
Create visualizations using Python (Plotly, Matplotlib, or Seaborn) to communicate key findings effectively
Contribute to a culture of analytical rigor, documentation, and rapid experimentation

Our take

Changing insurance providers can be a daunting and overwhelming process. Its a complex and lengthy undertaking, resulting in many people sticking to the same provider, even if it doesn't best suit their needs.

Recognizing the need for a better solution is Trellis, that delivers an API platform for consumers to compare insurance policies side-by-side. It also partners with digital banks and financial institutions to offer new insurance options to their existing customers - a feature which allows it to stand out from the competition.

Trellis has seen exponential growth since founding in 2019, and has secured strong funding from the likes of Amex Ventures. The company is now in a prime position to accelerate its offerings and further innovate the insurance market.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

May 2022

$5m

EARLY VC

Jun 2021

$10m

SERIES A

Total funding: $15m

Company benefits

Bonuses and equity opportunities
Unlimited vacation time
100% employer-paid insurance for employee, 60% for dependents
401K plan
Annual in-person retreats

Company HQ

SoMa, San Francisco, CA

Leadership

Daniel Demetri

(Founder & CEO)

Previously co-founded the insurance company, Doma. Also worked as a Product Manager at Google as well as a Product Lead/Head of Product Management at Earnest.

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