Data Scientist

Voya Financial • Hartford, CT

12d

About The Position

The Data Scientist expands the impact of data science across the firm by designing, developing, delivering, and supporting advanced analytics and machine learning solutions. This role partners with product owners to perform detailed exploratory analysis, translate complex business questions into actionable insights, and deliver predictive models that support key initiatives across Workplace Solutions, including Retirement, Wealth Management, Employee Benefits, and Benefits Administration.

Requirements

• Advanced degree (Master’s or Ph.D.) in data science or a quantitative discipline (e.g., statistics, computer science, applied mathematics, engineering), or equivalent experience
• 2+ years of experience developing and delivering data science solutions
• Full proficiency with machine learning and advanced analytics methods
• Strong skills in SQL, Python, data visualization, PySpark, and data wrangling on cloud‑based data platforms
• Solid business acumen with the ability to quickly learn and apply knowledge of Workplace Solutions domains (Retirement, Wealth, and Benefits)
• Strong written and verbal communication skills

Nice To Haves

• Prior experience in financial services, particularly Retirement, Wealth Management, or Employee Benefits
• Hands‑on experience building and deploying data science solutions on public cloud platforms
• Experience with Azure ML, Snowflake, Databricks, and deep learning libraries (e.g., TensorFlow, PyTorch, Keras)

Responsibilities

• Perform detailed exploratory data analysis (EDA) to understand data quality, drivers, patterns, and business context prior to model development
• Deliver data science solutions by building predictive models and advanced analytics using structured and unstructured data
• Apply a range of data science and machine learning techniques (e.g., regression, decision trees, neural networks, clustering, time series) to solve business problems
• Partner with product owners across Workplace Solutions to understand requirements, define hypotheses, and ensure analytical outputs align to business needs
• Communicate technical findings and business insights through clear presentations and effective data visualizations for business and technical audiences
• Assist in the evaluation of data science platforms, technologies, frameworks, and data sources
• Support implementation, monitoring, and continuous improvement of data science solutions

Benefits

• Health, dental, vision and life insurance plans
• 401(k) Savings plan – with generous company matching contributions (up to 6%)
• Voya Retirement Plan – employer paid cash balance retirement plan (4%)
• Tuition reimbursement up to $5,250/year
• Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
• Paid volunteer time — 40 hours per calendar year

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level