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Data Science Engineer Jobs in Connecticut (NOW HIRING)

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

This role will challenge the status quo, apply modern data science and AI approaches, and translate ... designed by data engineers to develop, enhance, and maintain models, focusing on analytical ...

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 ...

The Hartford

Applied AI Data Scientist

Hartford, CT

$90K - $135K/yr

What You Need to Succeed Technical Qualifications * 3-5+ years in Data Science, ML Engineering, Applied AI, or GenAI roles. * Strong Python and SQL skills; experience with deep learning and ML ...

The Hartford

Senior Data Scientist

Hartford, CT

$110K - $166K/yr

Partner with Data Engineering and MLOps teams to support deployment and monitoring. Cross ... Master's/PhD in Statistics, Data Science, Applied Math, Computer Science, Actuarial Science, or ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Yale New Haven Health

Data Scientist II

New Haven, CT · On-site

Qualifications EDUCATION Masters in data science, mathematics, statistics, engineering or closely related field required with work relevant to data science, such as modeling, will be given extra ...

Chubb

AVP, Lead Data Scientist

Simsbury, CT

Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering are preferred. Location: We are open to the ...

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Bachelor's degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline * Experience in R (preferred), Python, and SQL * Experience in ingesting data from a ...

New

Deloitte

Databricks Data Engineer

Stamford, CT

$122K - $146K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics * 3+ years of experience in data engineering, extract, transform, load (ETL) ...

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Bachelor's degree in Computer Science, Data Science, Information Technology, or related field ... Engineer Hands-on experience in Snowflake Primary skill set is Snowflake Hybrid position - 3 days ...

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All JobsData Science Engineer JobsData Science Engineer Jobs in Connecticut

Data Science Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do data science engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data science engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

Is AI replacing data scientists?

AI is transforming the role of data science engineers by automating routine tasks and enabling more advanced analysis, but it does not replace the need for skilled professionals who interpret data, develop models, and ensure ethical use. Data scientists and data science engineers are increasingly working alongside AI tools to enhance decision-making and innovation. The demand for expertise in programming, statistical analysis, and machine learning remains strong in the industry.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

Is 40 too late for data science?

Data Science Engineers can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.
What are popular job titles related to Data Science Engineer jobs in Connecticut? For Data Science Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Connecticut look for? The top searched job categories for Data Science Engineer jobs in Connecticut are:
Data Science Engineer jobs near you
Applied AI Data Scientist

Applied AI Data Scientist

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

$90K - $135K/yr

Full-time

Posted 14 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

53rd of 261 rated insurance

Job description

Data Scientist - GD08AE
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 Hartford is expanding its Data Science, AI & Analytics capabilities to deliver next-generation AI, Generative AI, and Agentic AI solutions across underwriting, claims, risk analysis, and enterprise operations. We are seeking an AI Applied Scientist who combines strong scientific depth with hands-on engineering to design, build, evaluate, and operationalize enterprise-grade AI systems.
You will collaborate with product owners, SMEs, engineers, and both onshore and offshore DS/ML teams to drive measurable business impact through innovative ML and GenAI solutions.
What You Will Do
  • Build and optimize ML, deep learning, and GenAI models using modern frameworks (PyTorch, TensorFlow, scikit-learn).

  • Design and deliver RAG pipelines, hybrid retrieval systems, and vector-based search workflows.

  • Develop Agentic AI solutions including tool orchestration, reasoning flows, and safe-execution strategies.

  • Run structured experimentation using evaluation metrics (BERTScore, BLEURT, semantic similarity, retrieval precision/recall).

  • Integrate solutions into GCP (Vertex AI, Workbench, Vector Search) and AWS (SageMaker, Bedrock)

  • Build ingestion, enrichment, and semantic retrieval flows for high-quality knowledge and feature engineering.

  • Partner with onshore and offshore DS/ML engineers to ensure quality, consistency, and shared technical patterns.

What You Need to Succeed
Technical Qualifications
  • 3-5+ years in Data Science, ML Engineering, Applied AI, or GenAI roles.

  • Strong Python and SQL skills; experience with deep learning and ML libraries.

  • Hands-on experience building RAG systems, vector search pipelines, and GenAI applications.

  • Familiarity with modern LLM platforms (Vertex AI, OpenAI, Bedrock, Azure OpenAI).

  • Experience implementing evaluation methodologies for both ML and GenAI.

Applied Science Skills
  • Ability to translate ambiguous business problems into well-structured ML/GenAI solutions.

  • Experience designing multi-step agent workflows and reasoning pipelines.

  • Strong grounding in statistics, experiment design, and feature engineering.

Communication & Collaboration
  • Ability to present complex concepts clearly to technical and business stakeholders.

  • Comfortable working with agile teams and collaborating across time zones.

  • Experience partnering with SMEs to validate and refine AI outputs.

Preferred Qualifications
  • Experience with Snowflake or enterprise data platforms.

  • Insurance domain knowledge (underwriting, claims, or risk analysis).

  • Experience with multimodal LLMs or enterprise prompt/agent frameworks.

Education & Experience
  • 5+ years with Bachelor's degree; less for Master's.

  • Master's preferred in Machine Learning, Applied Math, Data Science, Computer Science, or related fields.

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:
$90,160 - $135,240
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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