AI Data Specialist

Kensho is S&P Global's hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and more.
Kensho's AI Data Team is responsible for handling any and all data needs for Kensho's Machine Learning team - we build datasets to evaluate products and systems, evaluate model performance on real-world data, and collaborate with Subject Matter Experts. As an AI data specialist, you'll serve as a financial subject matter expert for multiple teams, lead and collaborate with internal and external SMEs, work with ML engineers to plan and map data annotation projects; extract, transform, and load data for those projects; work with our offshore annotation team to create high quality datasets; and analyze finished datasets. The ideal candidate has extensive experience and exposure to multiple financial domains, is comfortable working with structured and unstructured data (preferably using Python), is able to collaborate with colleagues across Kensho and S&P, can solve problems independently and as a team, and is eager to learn new skills.
At Kensho, we believe in flexibility-first, and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (NY/CAM) will be required for team meetings or company events.
Kensho states that the anticipated base salary range for the position is 90k -125k. In addition, this role is eligible for an annual incentive bonus and potential equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
What You'll Do

• Manage engagements with internal and external subject matter experts with Banking, investment, etc. backgrounds
• Advise ML teams as an subject matter expert on various GenAI projects and workflows
• Collaborate with ML teams at Kensho to plan data annotation projects: developing ontologies, drafting instructions, and establishing project timelines and milestones.
• Import and export data to and from annotation tools, managing data pipelines that support labeling workflows.
• Assist and guide our offshore data labelers and sign off on quality.
• Create final datasets for ML teams once labeling is completed, and analyze the finalized data for trends and edge cases.
• Assist with training and mentoring our offshore data team.
• Assist with ad-hoc, high-visibility data projects as needed.
• A secondary focus of this role may include training and assigning S&P auxiliary employees labeling projects. This encompasses distributing instruction sets, identifying and addressing edge cases, refining annotation guidelines, and pinpointing areas / cases where ML models struggle.

Who You Are

• Have 3+ years of industry experience in private equity, asset management, or investment banking
• Proficiency with SQL: experience using CTEs, subqueries, window functions, and complex logic to work with large and nuanced datasets
• Has experience working with JSON and HTML/XML
• Have 0-1 years of management or mentorship experience
• Have experience assigning and reviewing deliverables.
• Have experience partnering and collaborating with product and technical teams
• Are an innovation-oriented person who can come up with out-of-the-box solutions
• Are a thoughtful and collaborative teammate
• Are highly organized and result-oriented with superior attention to detail
• Measure your professional success by your team's success

Technologies We Explore:
These languages and tools are ones that our team may explore. They are not prerequisites for successfully applying for this role, but demonstrated knowledge of some or all of these tools and languages - or a proven ability to quickly learn new tools and languages - will stand out.

• Data transformation and analysis: Python, Pandas, Numpy
• Deployment: tools such as Airflow
• Datastores: S3, Snowflake
• Annotation tools: Labelbox

At Kensho, we pride ourselves on providing top-of-market benefits, including:

• Medical, Dental, and Vision insurance
• 100% company paid premiums
• Unlimited Paid Time Off
• 26 weeks of 100% paid Parental Leave (paternity and maternity)
• 401(k) plan with 6% employer matching
• Generous company matching on donations to non-profit charities
• Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
• Plentiful snacks, drinks, and regularly catered lunches
• Dog-friendly office (CAM office)
• Bike sharing program memberships
• Compassion leave and elder care leave
• Mentoring and additional learning opportunities
• Opportunity to expand professional network and participate in conferences and events

Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [email protected] . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Job ID: 320060
Posted On: 2025-09-22
Location: Cambridge, Massachusetts, United States