ZipRecruiter

Log In

1

Ml Data Associate Jobs in Connecticut (NOW HIRING)

Pwc

GenAI Python Systems Engineer-Manager

Hartford, CT · On-site

$99K - $232K/yr

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

GenAI Python Systems Engineer-Manager

Stamford, CT · On-site

$99K - $232K/yr

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Gartner

Sr Director, MDM Engineering

Stamford, CT · Hybrid

Practical experience applying AI/ML and generative AI techniques to augment data products and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

World Wide Technology

The Digital & AI Platforms organization at World Wide Technology is hiring an Associate Client ... Experience leading digital transformation programs such as AI/ML and GenAI, data platforms and ...

World Wide Technology

The Digital & AI Platforms organization at World Wide Technology is hiring an Associate Client ... Experience leading digital transformation programs such as AI/ML and GenAI, data platforms and ...

World Wide Technology

The Digital & AI Platforms organization at World Wide Technology is hiring an Associate Client ... Experience leading digital transformation programs such as AI/ML and GenAI, data platforms and ...

previous pagenext page

Showing results 21-40

All JobsMl Data Associate JobsMl Data Associate Jobs in Connecticut

Ml Data Associate information

See Connecticut salary details

$54.7K

$64.7K

$122.7K

How much do ml data associate jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ml data associate in Connecticut is $64,724.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $56,600.00 per year, depending on experience, location, and employer.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Connecticut?

For Ml Data Associate jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Ml Data Associate jobs in Connecticut look for?

The top searched job categories for Ml Data Associate jobs in Connecticut are:

Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $64,724 per year, or $31.1 per hour.

Alternative Data Management, Servicing Team Lead - Assistant Vice President

iCapital

Stamford, CT • On-site, Remote

$85K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

About the Role

iCapital is seeking an Assistant Vice President, Alternative Data Management (ADM) Servicing Team Lead to oversee daily servicing operations across alternative investment products. This role will be responsible for managing a team supporting end-to-end document and data processing such as capital activity, financial reporting, and investor servicing.

This individual will drive operational excellence by ensuring high-quality delivery, advancing straight-through processing (STP) initiatives, and implementing robust quality control frameworks. This role will serve as a key bridge between the Operations, Data Solutions, and Product teams, helping scale servicing capabilities while maintaining strong client outcomes. The ideal candidate thrives in a fast-paced, detail-oriented environment and brings a balance of leadership, process optimization, and technical acumen.

Responsibilities

  • Lead and develop a team of analysts and associates responsible for ADM servicing workflows across fund structures. 
  • Set clear priorities, allocate workloads, and ensure all deliverables meet deadlines and quality standards. 
  • Provide ongoing coaching, performance feedback, and development support to enhance team capabilities. 
  • Serve as an escalation point for complex servicing and data issues. 
  • Oversee end-to-end processing of, Capital activity (calls, distributions, transfers), Financial reporting (NAVs, capital account statements), Document ingestion, classification, and data extraction.
  • Ensure accuracy and completeness of investor and fund-level data. 
  • Review and validate outputs for client delivery and downstream reporting. 
  • Drive the adoption of straight-through processing by identifying automation opportunities in document classification and data extraction. 
  • Partner with Data Solutions and Product to enhance AI/ML-driven workflows. 
  • Reduce manual touchpoints and improve throughput, accuracy, and scalability. 
  • Establish and enforce operational controls, including rule-based exception tracking and stoplight frameworks. 
  • Monitor KPIs such as error rates, turnaround times, and exception volumes; implement corrective actions where needed. 
  • Ensure adherence to internal policies, audit requirements, and data governance standards. 
  • Partner with Client Delivery and Relationship Management teams to resolve servicing issues and improve client experience. 
  • Support onboarding of new funds and accounts, ensuring proper setup and data integrity. 
  • Collaborate with internal stakeholders (Product, Engineering, Data Solutions teams) on platform enhancements and issue resolution. 
  • Develop and maintain clear procedures, knowledge articles, and training materials. 
  • Standardize workflows across teams to ensure consistency and scalability. 
  • Support change management initiatives tied to data conversions and new product rollouts. 

Qualifications

  • 6+ years of experience in financial services, with a focus on alternative investments operations or fund administration 
  • 3+ years of people management experience, including coaching, performance management, and team development 
  • Strong knowledge of alternative investment structures and servicing workflows (i.e. capital activity, NAVs, investor reporting) 
  • Experience with document and data processing workflows, including exposure to automation and STP initiatives 
  • Proven ability to design and improve operational processes, controls, and KPIs 
  • Strong analytical and problem-solving skills and able to manage complex data scenarios 
  • Excellent organizational skills with high attention to detail and accuracy 
  • Strong communication skills with ability to engage cross-functional stakeholders 
  • Advanced proficiency in Excel; experience with data tools or automation frameworks is preferred 

Benefits

The base salary range for this role is $85,000 to $125,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Apply