Gen AI Data Scientist II — Python, AWS, SQL (Onsite)

Unum Ireland

Chattanooga (TN)

On-site

USD 73,000 - 151,000

Full time

4 days ago
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Benefits offered by this job

Health benefits
Dental benefits
Vision benefits
Disability insurance
Paid time off
401(k) match up to 9.5%
Student loan repayment
Tuition reimbursement

Job summary

Unum is seeking a Data Scientist II to accelerate AI and analytics initiatives, delivering high-impact models and actionable insights. You will build, validate, and deploy machine learning and generative AI solutions, collaborating with cross-functional teams to identify opportunities and drive measurable value.

The role emphasizes rapid experimentation in an agile environment, with mentorship to junior colleagues and a focus on continuous learning and innovation in financial services.

Qualifications

  • Bachelor’s degree in quantitative field is required, Master’s is preferred.
  • 4 years of professional experience or equivalent relevant work experience preferred.
  • Core Data Science Capabilities: deep expertise in at least two skillsets.

Responsibilities

  • Develop and evaluate machine learning and generative AI solutions.
  • Build proof-of-concept applications to address business needs.
  • Partner with cross-functional teams to identify opportunities and deliver insights.
  • Apply advanced analytics to support strategic decision-making.
  • Provide mentorship to lower-level Data Science peers.

Skills

Machine learning
Generative AI
Data analytics
SQL
Python
Data visualization

Education

Bachelor’s degree in quantitative field
Master’s degree preferred

Tools

DB2
SQL Server
Web API
Teradata

Job description

Unum is seeking a Data Scientist II to accelerate AI and analytics initiatives, delivering high-impact models and actionable insights. You will build, validate, and deploy machine learning and generative AI solutions, collaborating with cross-functional teams to identify opportunities and drive measurable value.

The role emphasizes rapid experimentation in an agile environment, with mentorship to junior colleagues and a focus on continuous learning and innovation in financial services.

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