Sun Life Financial, Inc. Logo

Sun Life Financial, Inc.

Senior Data Scientist

Posted Yesterday
Be an Early Applicant
In-Office
Wellesley Hills, MA
97K-146K Annually
Senior level
In-Office
Wellesley Hills, MA
97K-146K Annually
Senior level
The Senior Data Scientist develops predictive models and applies machine learning techniques to enhance risk-based decisions within the Health and Risk Solutions business.
The summary above was generated by AI

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.

Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities.  

Job Description:

Sun Life embraces a hybrid work model that balances in-office collaboration with the flexibility of virtual work. Internal candidates are not required to relocate near an office.

The opportunity: The Senior Data Scientist provides advanced analytics support within the Business Analytics function that applies the power of data with machine learning to enhance risk-based decisions across the Health and Risk Solutions business. This team is expected to work closely with the other functional teams, in particular the Pricing, Underwriting, and Clinical teams. This position reports to the Director, Data Science within the Health and Risk Solutions business.

Responsibilities include developing and monitoring predictive models to support our pricing, underwriting and clinical review processes, as well as supporting the implementation of these models. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes and bring in industry standard best practice on developing and maintaining MLOPS.

How you will contribute:

  • Apply advanced data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization and data profiling.
  • Apply expertise with data wrangling, feature engineering, model training and model evaluation.
  • Ability to identify the right algorithms and statistical techniques for a specific project as well as the best features for a model.
  • Align with best practices for data mining and modeling as set up by the team
  • Partners with key subject matter experts across various functional teams within the Health & Risk Solution business to help develop predictive modeling and analytic solutions based on understanding of business needs and opportunities.
  • Develop and maintain high-quality, robust predictive models using advanced analytic techniques
  • Extract and analyze internal and external data sources to help answer key business problems related to risk assessment.

What you will bring with you:

  • Ability to work with a diverse range of people
  • 4-5 years of experience in developing and implementing data science techniques
  • BS/MS/PhD in a statistical, mathematical, or technical field (e.g., data science, computer science, actuarial science)
  • Experience with actuarial/pricing, underwriting or related concepts utilized in the health insurance field preferred. Experience with pricing/underwriting advanced analytics application within property & casualty insurance sector is welcomed.
  • Business knowledge of insurance sector preferred.
  • Strong communication skills, with an ability to explain technical concepts to a non-technical audience.
  • Attention to details and accuracy and clarity in communicating results and insights
  • Proactive ownership of problem solving with team members and subject matter experts
  • Experience with a broad range of statistical programming languages, applications and data environments (e.g., R, Python, SQL, Tableau)
  • Strong knowledge of data science including conditioning, modeling, integration and visualization
  • Strong knowledge of the fundamental statistical and AI underpinnings of data science
  • Commitment to data compliance, model governance and security protocols
  • Strong business acumen to understand why and how the work we do will impact our business stakeholders

Salary:  

$97,400-$146,100

At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions.

Not ready to apply yet but want to stay in touch?   Join our talent community to stay connected until the time is right for you! 

We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive.  We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate.  We encourage applications from qualified individuals from all backgrounds.

Life is brighter when you work at Sun Life

At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program.  Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account.  Enjoy a flexible, inclusive and collaborative work environment that supports career growth.  We’re proud to be recognized in our communities as a top employer.  Proudly Great Place to Work® Certified in Canada and the U.S., we’ve also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row.  Visit our website to learn more about our benefits and recognition within our communities.

We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email [email protected] to request an accommodation.

For applicants residing in California, please read our employee California Privacy Policy and Notice.

We do not require or administer lie detector tests as a condition of employment or continued employment.

Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Category:

Advanced Analytics

Posting End Date:

30/11/2025

Top Skills

Python
R
SQL
Tableau

Sun Life Financial, Inc. Wellesley Hills, Massachusetts, USA Office

One Sun Life Park, Wellesley Hills, MA , United States, 02481

Similar Jobs

Yesterday
Hybrid
65 Locations
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
This role focuses on leveraging advanced analytics and AI/GenAI techniques to optimize client operations through data-driven decision-making and solution development.
Top Skills: AWSAzureCi/CdGitGCPKerasNltkNoSQLPandasPythonScikit-LearnSQL
2 Days Ago
In-Office
3 Locations
107K-216K Annually
Senior level
107K-216K Annually
Senior level
Fintech
The Senior Data Scientist will lead experimental designs and statistical inference to enhance customer experience at Fidelity, working with cross-disciplinary teams to drive insights and improve decision-making processes.
Top Skills: PythonRSnowflakeSQLStatistical Inference Methods
5 Days Ago
Hybrid
Framingham, MA, USA
Senior level
Senior level
Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.
Top Skills: PythonSparkSQL

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account