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Data Science New Grad Jobs in Connecticut (NOW HIRING)

Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Hartford, CT (or) Stamford, CT (or) Morristown, NJ [Hybrid] (or) Remote for other USA locations Job Type: Contract * Data scientists develop robust, efficient, and scalable AI models to extract ...

Associate Data Scientist

Stamford, CT · On-site +1

$62K - $63K/yr

... new ideas and best practices to the team. What you will need: * BS/MS/PhD in Computer Science ... Data Science, Statistics, Economics, or a related field. * 1+ years of experience applying data ...

Associate Data Scientist

Stamford, CT · On-site

$62K - $63K/yr

... new ideas and best practices to the team. What you will need: * BS/MS/PhD in Computer Science ... Data Science, Statistics, Economics, or a related field. * 1+ years of experience applying data ...

Associate Data Scientist

Stamford, CT · On-site

$62K - $63K/yr

... new ideas and best practices to the team. What you will need: * BS/MS/PhD in Computer Science ... Data Science, Statistics, Economics, or a related field. * 1+ years of experience applying data ...

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

Showing results 21-40

Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What are the key skills and qualifications needed to thrive as a data science new grad?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are popular job titles related to Data Science New Grad jobs in Connecticut?

For Data Science New Grad jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Data Science New Grad jobs in Connecticut look for?

The top searched job categories for Data Science New Grad jobs in Connecticut are:

What cities in Connecticut are hiring for Data Science New Grad jobs?

Cities in Connecticut with the most Data Science New Grad job openings:

Infographic showing various Data Science New Grad job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Actuary/Data Scientist

Berkley

Greenwich, CT • On-site

Full-time

Re-posted 24 days ago


Job description

"Our Company provides a state of predictability which allows brokers and agents to act with confidence."
Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.
Along the way, we’ve been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.
Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess.

The Company is an equal employment opportunity employer.


The Actuary/Data Scientist will leverage strong analytical and coding skills to support data pipelines and advanced modeling, emphasizing rigorous quantitative thinking, high quality code, and sound professional judgment. This role will challenge the status quo, apply modern data science and AI approaches, and translate complex analyses into clear, actionable insights.

• Write production-quality code for data wrangling, modeling, and AI-assisted analytical workflows.
• Perform deep exploratory analysis to identify problems, trends, and drivers.
• Work with data platforms and pipelines designed by data engineers to develop, enhance, and maintain models, focusing on analytical correctness and model integrity.
• Design and apply machine learning tools, including accessing large language models (LLMs) or building task-specific agents.
• Apply professional skepticism and alternate approaches to thoroughly validate results.
• Communicate results effectively to actuarial peers, management, and non-technical audiences.
• Understand the different data types and uses of data within an insurance organization.
• Provide support and guidance to others who are at earlier stages 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 analytical and modeling libraries.
• Experience applying AI, machine learning, or LLM-based tools to solve real data or analytical problems (e.g., building agents, calling model APIs, or integrating AI into analytical workflows).
• Proficient in probability and statistics, with experience working with large and complex data flows and articulating project plans and conclusions.
• Proficient with SQL and cloud-based or distributed data environments (e.g., Snowflake, Databricks, or similar platforms).

Education Requirement


• Master's degree in Data Science preferred.
• Progress toward CAS credentials (ACAS or nearly/newly FCAS or international equivalent).


Location and Travel:
Primary location Greenwich, CT.
Sponsorship not Offered for this Role