Job Description

As a Data Scientist, you will analyze large datasets to drive insights for strategic decisions within the FinLab team, developing AI-enabled custom software tools for client organizations while growing into a thought leader in financial services and technology.

Requirements

Bachelor’s or advanced professional degree in engineering, computer science, statistics, or data science; master's degree is a plus with less than 2 years of work experience
3+ years of professional experience as a data analyst or data scientist
Skilled in coding languages (e.g., SQL, Python, R), visualization/BI tools (e.g., Tableau, PowerBI) and modeling (e.g., regression, forecasting, decision trees)
Experience with data engineering practices including ETL pipelines, orchestration tools such as Airflow, and big data platforms like Databricks
Hands-on experience with data modeling techniques (e.g., 3NF, data vault) and ability to work with both structured and unstructured data
Experience with modern AI development frameworks like Langchain and platforms like Amazon Bedrock
Consulting experience preferred, especially within financial services
Comfortable working with Git, CI/CD tools, and modern development workflows
Familiarity with Azure cloud services; experience with Kubernetes, Docker, and distributed computing frameworks is a plus
Highly inquisitive and creative problem-solver
Entrepreneurial mindset and self-starter
Professional attitude, team player and service-oriented mentality
Expertise in communicating analytical and technical concepts to both technical and non-technical colleagues

Responsibilities

Analyze large amounts of data to drive insights for strategic decisions
Develop AI-enabled custom software tools for client organizations
Guide teams on the selection of datasets and analytic strategies
Collaborate with other practices, analytics groups, and technical teams
Become an advocate for the use of data and analytics