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Senior Python Data Science Jobs in Connecticut (NOW HIRING)

The Hartford

Data Scientist

Hartford, CT · On-site +1

$90K - $135K/yr

... science team responsible for designing and delivering powerful analytical insights utilizing ... Use R and/or Python to build, maintain, and support loss models across different lines of business

Relativity

Senior Applied Scientist

Bridgeport, CT · On-site +1

... a Senior Applied Scientist, Generative AI, you will design, build, and deploy generative and ... Data Science, Deep Learning, Machine Learning (ML), Natural Language, Python (Programming Language ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

This role will challenge the status quo, apply modern data science and AI approaches, and translate ... in Python, including analytical and modeling libraries. • Experience applying AI, machine ...

Berkley

Actuary/Data Scientist

Greenwich, CT

... in their data science or AI journey. Qualifications: • 4-7 years of relevant actuarial, technical, or research experience. • Strong programming skills, particularly in Python, including ...

PATRIOT BANK, N.A.

Credit Analyst

Stamford, CT · On-site

... report trends to senior management. Visualize and Report on Portfolio Trends * Create ... Experience using Python data science libraries PHYSICAL DEMANDS The physical demands described here ...

Deloitte

Data Scientist

Hartford, CT · On-site

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

Deloitte

Data Scientist

Stamford, CT · On-site

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

PATRIOT BANK, N.A.

Credit Analyst

Stamford, CT · On-site

... report trends to senior management. Visualize and Report on Portfolio Trends * Create ... Experience using Python data science libraries PHYSICAL DEMANDS The physical demands described here ...

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Senior Python Data Science information

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

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Senior Python Data Science jobs near you
Director of Data Science, Actuarial Modeling

Director of Data Science, Actuarial Modeling

The Hartford

Hartford, CT • Hybrid

Full-time

Posted 10 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

52nd of 261 rated insurance

Job description

Dir & Data Scientist - GD06BE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartfordseeks a Director & Data Scientist withinEmployee Benefitsto develop statistical and machine learning solutionssupporting actuarial pricing and reserving modeling.

In this role, you will be a hands-on technical expert contributing across the full model lifecycle-partnering closely with actuarial, business, and engineering stakeholders to understand business strategies and translate them into robust, scalable modeling solutions. You will design, develop, implement, and evolve advanced analytics and machine learning models using modern technologies, MLOps practices, and Agile delivery frameworks.

This cutting-edge, forward-focused organization offers the opportunity to work autonomously on high-impact problems, influence technical and analytical decisions, collaborate deeply with crossfunctional partners, and gain strong visibility as we focus on continuous, value-driven data and model delivery.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities:

  • Develop, test,validate, andmaintainaportfolioof rating modelsfor theEmployee Benefits class plans inLong-TermDisability, Short-Term Disability, and Life

  • Continuouslypartner with Actuarial and Data teams tomonitorand manage the End-to-End lifecycle of the rating models and underlying data which feeds them

  • Lead cross-functional projects that include the creation of statistical models and machine learning techniques to achieve financialobjectives, solve business problems, andidentifylong-term opportunities thatenhance actuarial modeling.

  • Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset.

  • Advance the department's capabilities by creating and deploying long-term tools to continually evolve the practice of data science, with an ability to see the end-to-end solution.

  • Develop strategies to achieve targeted businessobjectives. Implement these strategies and follow through to successfulconclusion.

  • Remain current on research techniques and become familiar withstate-of-the-arttools applicable to your function.

  • Participate in the talent management process for hiring, onboarding,trainingand development of staff.

  • Collaborate with your leader to providetimelyfeedback on development and opportunities for your team.

  • Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows.

Qualifications:

  • 8+ years of relevant experience recommended

  • Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation

  • Expertiseinactuarialmodeling;experience in EmployeeBenefits pricing is a plus.

  • Experience with mentoring Data Scientists and providing guidance through model development

  • Expertisein statistical modeling, inference, and building machine learning algorithms in Python

  • Expertisein SQL and navigating databases to extract relevant attributes

  • Expertisein Unix and Git

  • Expertisein the end-to-end modeling lifecycle, from requirements gathering tomonitoringand validation

  • Experience building modeling solutions in cloud-native environments, such asSagemaker, a plus

  • Able to communicate effectively with both technical and non-technical teams

  • Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution

  • Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Candidate must be authorized to work in the US without company sponsorship.The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$138,000 - $207,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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