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Associate Machine Learning Jobs in Connecticut (NOW HIRING)

Associate Data Scientist

Stamford, CT · On-site +1

$62K - $63K/yr

Stay current on advancements in machine learning, Generative AI, and agentic systems, bringing new ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Associate Data Scientist

Stamford, CT · On-site

$62K - $63K/yr

Stay current on advancements in machine learning, Generative AI, and agentic systems, bringing new ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

Associate Data Scientist

Stamford, CT · On-site

$62K - $63K/yr

Stay current on advancements in machine learning, Generative AI, and agentic systems, bringing new ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

... Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate ...

... Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate ...

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Showing results 1-20

Associate Machine Learning information

See Connecticut salary details

$23.6K

$124.1K

$304.2K

How much do associate machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for associate machine learning in Connecticut is $124,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $172,000.00 per year, depending on experience, location, and employer.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the most commonly searched types of Machine Learning jobs in Connecticut?

The most popular types of Machine Learning jobs in Connecticut are:

What cities in Connecticut are hiring for Associate Machine Learning jobs?

Cities in Connecticut with the most Associate Machine Learning job openings:

$81K - $121K/yr

Full-time

Posted 6 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

58th of 315 rated insurance


Job description

Assoc Data Scientist - GD08BE

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 seeks an Associate Data Scientist within the Applied AI and Analytics Claims department to develop machine learning and artificial intelligence solutions across a range of strategic initiatives.
The Workers Compensation & Employee Benefits Claims Data Science Team engineers end-to-end analytic and machine learning solutions to optimize operational efficiency, customer and claimant experience.
As a Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise.
Responsibilities:

  • Create statistical models, algorithms, and machine learning techniques to achieve financial objectives and solve business problems
  • Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations
  • Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
  • Participate in the creation and deployment of long-term tools to continually evolve the business
  • Contribute to the successful implementation of strategies to achieve targeted business objectives
  • Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
  • Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
  • Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions


Qualifications:

  • 2+ years of relevant experience recommended
  • Preference for 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
  • Experience in statistical modeling, inference, and building machine learning algorithms in Python
  • Experience in SQL and navigating databases to extract relevant attributes
  • Experience in Unix and Git
  • Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
  • Exposure to building modeling solutions in cloud-native environments, such as Sagemaker or Vertex AI, a plus
  • Understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation is a plus

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:

$81,040 - $121,560

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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