Burtch Works
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Data Scientist
role at
Burtch Works .
Base pay range $130,000.00/yr - $160,000.00/yr
Job Title:
Data Scientist
Location:
Chicago, IL (Hybrid – In-office Tuesday & Thursday)
About The Company We are a mission‑driven financial services firm focused on credit innovation, leveraging advanced analytics to deliver responsible financial products. Our collaborative, tight‑knit culture values transparency, high‑impact work, and the opportunity for our employees to gain exposure to all facets of the business. As a growing organization, we offer a dynamic environment where data professionals can make meaningful contributions and see the direct impact of their work.
Job Summary We are seeking a hands‑on Data Scientist to join our analytics team and drive initiatives across credit, fraud, and broader business areas. This individual will use data to explain trends, build predictive models, and translate findings into actionable insights for decision‑makers. The ideal candidate will have a strong mathematical background, be fluent in Python, and be able to communicate technical concepts clearly and effectively.
Key Responsibilities
Work on cross‑functional projects supporting credit risk, fraud detection, and customer analytics
Review model performance and analytical work produced by peers to ensure accuracy and consistency
Design and conduct data analyses to inform business decisions, using Python and other tools
Collaborate closely with stakeholders to understand business needs and translate them into analytical projects
Present analytical results to technical and non‑technical audiences
Contribute to internal best practices and support a culture of rigorous, high‑quality analytics
Requirements
Education:
Degree in a quantitative field (e.g., Statistics, Mathematics, Biostatistics, Physics, Chemistry, Biology, or related discipline)
Experience:
Typically 2–4+ years of hands‑on experience in data science or analytics, including exposure to financial services, fintech, or credit data (preferred). Senior title requires additional experience and proven ability to operate independently and guide junior staff.
Technical Skills:
Proficiency in Python (required)
Working knowledge of SQL for data extraction and analysis
Experience with data exploration, modeling, and business analytics
Soft Skills:
Strong communication skills; ability to clearly explain analytical work and its business implications
Critical thinking and intellectual curiosity
Business acumen; understands how analysis ties into outcomes
Preferred Qualifications
Exposure to AWS (particularly SageMaker), Databricks, or Vertex AI is a plus but not required
Prior experience in credit risk, fraud, or financial services is helpful but not mandatory
Demonstrated ability to follow structured problem‑solving approaches and deliver clean, documented work
Benefits
Competitive salary and performance‑based incentives
Health and wellness programs
Flexible work arrangements and supportive hybrid environment
Professional development and growth opportunities
Inclusive culture with direct impact and visibility across the organization
Seniority level Entry level
Employment type Full‑time
Job function Engineering and Information Technology
Industries IT Services and IT Consulting
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Data Scientist
role at
Burtch Works .
Base pay range $130,000.00/yr - $160,000.00/yr
Job Title:
Data Scientist
Location:
Chicago, IL (Hybrid – In-office Tuesday & Thursday)
About The Company We are a mission‑driven financial services firm focused on credit innovation, leveraging advanced analytics to deliver responsible financial products. Our collaborative, tight‑knit culture values transparency, high‑impact work, and the opportunity for our employees to gain exposure to all facets of the business. As a growing organization, we offer a dynamic environment where data professionals can make meaningful contributions and see the direct impact of their work.
Job Summary We are seeking a hands‑on Data Scientist to join our analytics team and drive initiatives across credit, fraud, and broader business areas. This individual will use data to explain trends, build predictive models, and translate findings into actionable insights for decision‑makers. The ideal candidate will have a strong mathematical background, be fluent in Python, and be able to communicate technical concepts clearly and effectively.
Key Responsibilities
Work on cross‑functional projects supporting credit risk, fraud detection, and customer analytics
Review model performance and analytical work produced by peers to ensure accuracy and consistency
Design and conduct data analyses to inform business decisions, using Python and other tools
Collaborate closely with stakeholders to understand business needs and translate them into analytical projects
Present analytical results to technical and non‑technical audiences
Contribute to internal best practices and support a culture of rigorous, high‑quality analytics
Requirements
Education:
Degree in a quantitative field (e.g., Statistics, Mathematics, Biostatistics, Physics, Chemistry, Biology, or related discipline)
Experience:
Typically 2–4+ years of hands‑on experience in data science or analytics, including exposure to financial services, fintech, or credit data (preferred). Senior title requires additional experience and proven ability to operate independently and guide junior staff.
Technical Skills:
Proficiency in Python (required)
Working knowledge of SQL for data extraction and analysis
Experience with data exploration, modeling, and business analytics
Soft Skills:
Strong communication skills; ability to clearly explain analytical work and its business implications
Critical thinking and intellectual curiosity
Business acumen; understands how analysis ties into outcomes
Preferred Qualifications
Exposure to AWS (particularly SageMaker), Databricks, or Vertex AI is a plus but not required
Prior experience in credit risk, fraud, or financial services is helpful but not mandatory
Demonstrated ability to follow structured problem‑solving approaches and deliver clean, documented work
Benefits
Competitive salary and performance‑based incentives
Health and wellness programs
Flexible work arrangements and supportive hybrid environment
Professional development and growth opportunities
Inclusive culture with direct impact and visibility across the organization
Seniority level Entry level
Employment type Full‑time
Job function Engineering and Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr