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Remote Data Science Jobs in Connecticut (NOW HIRING)

AVP Data Science - GD05AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

Associate Bus Data Analysis

Hartford, CT · On-site +1

$54K - $81K/yr

Associate Bus Data Analysis - GA09AN We're determined to make a difference and are proud to be an ... Bachelor's Degree in Business preferred This role can have a Hybrid or Remote work arrangement.

Sr Agile Product Owner

Hartford, CT · On-site +1

$116K - $174K/yr

Experience with data & analytics products, cloud technologies, data governance, data science, and ... Remote work schedule. Candidates who live near one of our office locations will have the ...

RevOps Analytics Manager

Shelton, CT · On-site +1

$100K - $120K/yr

... Data Science, Applied Math) or equivalent experience. * 4-5 years of experience in data analysis ... Can be either fully remote (anywhere in U.S.) or hybrid model, depending on proximity to Shelton ...

Senior Data Engineer

Hartford, CT · Remote

$106K - $145K/yr

Bachelors' degree in Computer Science, Management Information Systems, or related field. * Minimum ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Senior Data Engineer

Stamford, CT · Remote

$113K - $153K/yr

Bachelors' degree in Computer Science, Management Information Systems, or related field. * Minimum ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Software Engineer

Hartford, CT · Remote

$72K - $130K/yr

If you reside near Hartford, CT , you'll enjoy the flexibility of a hybrid-remote position* as you ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field * 2 ...

Senior Data Analyst

Stamford, CT · On-site +1

$91K - $115K/yr

Remote Reports To: SVP, Data and Technology Who We Are Icon Health is a leading provider of value-based musculoskeletal (MSK) care, partnering with payers and providers to improve outcomes and reduce ...

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Remote Data Science information

See Connecticut salary details

$23.6K

$104.9K

$200.2K

How much do remote data science jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote data science in Connecticut is $104,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,194.00 and $145,522.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
What are the most commonly searched types of Data Science jobs in Connecticut? The most popular types of Data Science jobs in Connecticut are:
What are popular job titles related to Remote Data Science jobs in Connecticut? For Remote Data Science jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Connecticut look for? The top searched job categories for Remote Data Science jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Data Science jobs? Cities in Connecticut with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,916 per year, or $50.4 per hour.

AVP, AI (Data Science/Engineer) Remote - EST

Archgroup

Hartford, CT • Remote

$185K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the businessoperates. We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book - combining frontier LLMs, multi-agent orchestration (MCP, A2A), retrieval-augmented generation, evaluation harnesses, and traditional ML.Our missionis broad: agentic automation, decision support, AI-driven insights, and the platform engineeringrequiredto make all ofitproduction-grade.

We have a strongtrack recordof success(productionalizingdozens ofhigh qualityGen AI products over the last 3 years) -weaim to continue scaling these efforts and are seeking an AVP AIEngineering tolead thearchitecture & developmentof true multi-agent systems within Strategic Analytics. Reporting to theSVP of AI & Automation, you will design andoperateorchestrations where agents communicate directly with one another - not just sequential, hand-off-driven workflows.After architecting themultiagentsystem,you willautomate complex decisions by usingData Science frameworks/processes.This will happen in thesystemyoucreateandproductionsolutionsmust workathighlevelsof accuracy.You willpartnerwithImplementation Engineering (IE)on theorchestrationentry points and any infrastructure-side connectors.

Key Responsibilities

  • Designourmulti-agent orchestration patterns (master-orchestrator + specialized worker agents) using protocols such as MCP and A2A.

  • This may be a blend of build & buy

  • Lead end-to-end delivery of agentic underwriting and claims automations, from prototype throughtoproduction.

  • Use precision/recall, calibration, confidence thresholds, error analysis, and business-impact measurement todeterminewhen automation is safe to deploy

  • Design decision frameworks that combine LLMs, retrieval, traditional ML, business rules, and human review."

  • Identifythe conditions where the automation should be trusted, reviewed, or discarded

  • Partner with IE on orchestration entry-point design (e.g., Azure Function endpoints, master-agent gateways) so the AE/IE seam is clean and scalable.

  • Leadoffshore engineers and team members on agentic patterns, prompt engineering, and reliability practices.

  • Establish coding, evaluation, and observability standards for agentic systems within the AI & Automation Center of Excellence.

  • Translate business intent into working agentic systems - not just systems that compile, but systems that deliver measurable business outcomes.

Required Skills / Experience

  • 7+ years of software engineering and/or automation engineering experience.

  • 3+ years of Data science experience

  • 3+ years of people leadership experience

  • Demonstratedexperience buildingproduction grademulti-agent or agentic systems (beyondPOCwork).

  • Strongtrack recordofdeveloping supervised learning models (ML and/or GLMs)that have a financially measurable impact on the business

  • Strong experience sourcing & evaluating vendors

  • StrongPython experience

  • Resilient problem solving - comfortable with ambiguous problems and capable of breaking them into shippable increments.

  • Strong written and verbal communication; able tooperateacross IE, AE, DS, and business stakeholders.

  • Demonstrated, hands-on production experience (not POC-only) with the current AI stack: RAG, MCP / A2A or equivalent agent-to-agent protocols, agentic orchestration frameworks, and the ability to articulate where each is the right tool. Comfort scanning for and trialing new tooling as the space evolves.

Desired Skills / Experience

  • P&C insurance domain familiarity - underwriting, claims, or submission lifecycle.

  • Experience with retrieval-augmented generation (RAG),evaluationharnesses, and structured-output patterns.

  • Cloud experience in Azure (preferred for our stack) and/or AWS; familiaritywith private endpoints and enterprise-grade safeguards.

  • Experience leading multidisciplinary teams (onshore + offshore) for technology delivery.

  • Visibletrack recordof self-directed learning in the AI space - side projects, contributions to agentic frameworks, write-ups, conference talks, or other evidence that the candidate is investing personal time staying ahead of the curve.

Education

  • College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical experience.

#LI-LH1

#LI-REMOTE

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$185,000 - $235,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC