Data Scientist Visa Sponsorship Jobs in Connecticut
Connecticut's data scientist job market centers on Stamford's financial services corridor, Hartford's insurance giants like Aetna and The Hartford, and the UConn and Yale university ecosystems that feed consistent talent pipelines. Employers in biotech, fintech, and defense contracting across New Haven and Bridgeport actively hire internationally and have established visa sponsorship programs for qualified data scientists.
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Get Access To All JobsINTRODUCTION
Together we fight for everyone’s opportunity for a better financial future. We will do this together — with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.
Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.
Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage – Apply Now.
JOB SUMMARY
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.
KEY 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
REQUIRED QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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)
COMPENSATION PAY DISCLOSURE
Voya is committed to pay that’s fair and equitable, which means comparable pay for comparable roles and responsibilities.
The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.
Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
- Salary Range: $109,000 - $136,250 USD
WHAT WE OFFER
- 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
CRITICAL SKILLS
At Voya, we have identified the following critical skills which are key to success in our culture:
- Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
- Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
- Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
- Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
- Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.
EQUAL EMPLOYMENT OPPORTUNITY
Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.
REASONABLE ACCOMMODATIONS
Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.
INTRODUCTION
Together we fight for everyone’s opportunity for a better financial future. We will do this together — with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.
Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.
Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage – Apply Now.
JOB SUMMARY
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.
KEY 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
REQUIRED QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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)
COMPENSATION PAY DISCLOSURE
Voya is committed to pay that’s fair and equitable, which means comparable pay for comparable roles and responsibilities.
The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.
Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
- Salary Range: $109,000 - $136,250 USD
WHAT WE OFFER
- 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
CRITICAL SKILLS
At Voya, we have identified the following critical skills which are key to success in our culture:
- Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
- Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
- Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
- Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
- Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.
EQUAL EMPLOYMENT OPPORTUNITY
Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.
REASONABLE ACCOMMODATIONS
Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.
Data Scientist Job Roles in Connecticut
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Search Data Scientist Jobs in ConnecticutData Scientist Jobs in Connecticut: Frequently Asked Questions
Which companies sponsor visas for data scientists in Connecticut?
Hartford-based insurers including Aetna, The Hartford, and Cigna are among the most consistent H-1B visa sponsors for data scientists in Connecticut. Stamford's financial services firms, such as UBS and Charter Communications, also file regularly. Yale New Haven Health and biopharmaceutical companies in the New Haven area round out the sponsoring employer pool, particularly for data scientists with healthcare or clinical analytics backgrounds.
Which visa types are most common for data scientist roles in Connecticut?
The H-1B is the primary visa category for data scientists in Connecticut, given that the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or mathematics. Some candidates transition from F-1 OPT or STEM OPT, which can provide up to three years of work authorization while an employer pursues H-1B sponsorship through the annual lottery.
Which cities in Connecticut have the most data scientist sponsorship jobs?
Hartford and Stamford generate the largest share of data scientist sponsorship roles in Connecticut. Hartford's concentration of insurance and financial analytics firms drives consistent demand, while Stamford's corporate headquarters cluster attracts candidates with fintech and media data experience. New Haven is a secondary hub, supported by Yale University, Yale New Haven Health, and a growing biotech corridor that increasingly requires data science expertise.
How to find data scientist visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search data scientist roles in Connecticut without manually screening each employer. The platform surfaces positions from companies with documented sponsorship histories in the state, including Hartford's insurance sector and Stamford's financial firms. Filtering by location and role on Migrate Mate is a practical starting point for international candidates at any stage of their job search.
What should data scientists know about Connecticut's hiring market before applying?
Connecticut employers sponsoring H-1B visas must pay the prevailing wage for the specific role and location as determined by the Department of Labor, so job titles and degree field alignment matter when employers file Labor Condition Applications. Candidates with graduate degrees from UConn or Yale often have existing relationships with in-state employers, which can simplify the sponsorship conversation. Defense contractors in the state may also require candidates to be eligible for security clearances, which limits sponsorship options for certain roles.
What is the prevailing wage for sponsored data scientist jobs in Connecticut?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.