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Data Science Manager Jobs in Ridgefield, CT (NOW HIRING)

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Berkley Corporation has grown from a small investment management firm into one of the largest ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Berkley Corporation has grown from a small investment management firm into one of the largest ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Pwc

Payer Healthcare Data Scientist, Manager

Stamford, CT · On-site

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ...

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Ridgefield, CT

Data Science Manager information

See Ridgefield, CT salary details

$30.9K

$96.8K

$171.3K

How much do data science manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science manager in Ridgefield, CT is $96,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $125,000.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

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

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

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

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Ridgefield, CT? The most popular types of Data Science jobs in Ridgefield, CT are:
What job categories do people searching Data Science Manager jobs in Ridgefield, CT look for? The top searched job categories for Data Science Manager jobs in Ridgefield, CT are:
What cities near Ridgefield, CT are hiring for Data Science Manager jobs? Cities near Ridgefield, CT with the most Data Science Manager job openings:
Data Science Manager jobs near you
Actuary/Data Scientist

Actuary/Data Scientist

Berkley

Greenwich, CT • On-site

Other

Re-posted 4 days ago

Job description

Company Details
"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.
Responsibilities
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
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).
Additional Requirements
Location and Travel:
• Primary location Greenwich, CT.
Sponsorship Details
Sponsorship not Offered for this Role

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