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Private Wealth Data Science Intern

Orlando, FL 2026-09-28 07:42:09

🔒 Direct submission to hiring team • Zero candidate fees

Role & Company Overview

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Employer
StepStone Group
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Location / Model
Orlando, FL
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Employment
Internship
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Recruitment Type
Direct to HR Pipeline
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Industry
General
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Company Size
🌐
Headquarters
United States
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Visa & Sponsorship
Global Talent Consideration
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Global Sponsorship Signal: This position is eligible for global talent consideration and work authorization sponsorship for top qualified international candidates.
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Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • Hirely Editorial Team. Authenticated directly from StepStone Group's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards

📋 Role Overview & Responsibilities

StepStone is a rapidly growing Global Private Markets firm who provides customized investment and advisory solutions to some of the most sophisticated investors in the world. With $640 billion of total capital allocations, including $143 billion in AUM, we are highly diversified in the private markets across the globe and provide creative solutions to solve for the objectives of any investment program. With a culture built on entrepreneurialism, partnership and being a team within teams, our firm offers joiners the opportunity to think out loud, collaboratively.

Position Overview

The Data Science Intern will work as part of the Private Wealth team and is expected to perform the fundamental core responsibilities described below. The Data Science intern will work within the Global CRM team and closely with members of the Business Development team, other Private Wealth members, and all relevant departments to support data initiatives.

Responsibilities

Handle reporting requirements for the Business Development Team, including gathering requirements, creating report templates, and routinely updating reportsApply analytical skills and knowledge to solve real-world problems, extract meaningful insights from complex data sets, and contribute to the development of data-driven outcomesMaintain data hygiene by creating, updating and deleting records in applicable systemsAnalyze reports to draw meaningful conclusions, highlight trends, extract insights to support decision-makingAssist in process standardization and automationDevelop and implement statistical models and machine learning algorithmsPrepare and present reports and visualizations to communicate findings and recommendations to both technical and non-technical stakeholdersIdentify and investigate issues or inconsistencies with dataStay abreast of industry trends and advancements in data science and analytics

Qualifications

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, ITStrong foundation in statistical analysis, machine learning, and data modelingProficiency in programming languages such as Python and experience with Python LibrariesExperience in Python programming and understanding of the software development life cycleAdvanced proficiency in Microsoft Excel for data analysis and reporting

Core Competencies

Strong analytical and problem-solving skills, with clear attention to detailStrong communication and collaboration skillsDetail-oriented with a commitment to data accuracy and integrityAbility to work independently with minimal supervisionAbility to prioritize and work under tight deadlinesFast learner, able to master new concepts, theories, ideas, and processes with easeHighly motivated, self-learner, and technically inquisitiveAdjusts plans, expectations, and/or processes to meet changing needs of key stakeholders Highly motivated individual with demonstrated initiative, independence, professionalism and adaptabilityWell organized, good time management skills, and prioritizes appropriatelyEffectively work in teams; teams orientedMaintains a positive attitude, strong work ethic, and treats others with respectStrong ability to multi‐task and manage time in a detail‐oriented environment

About Us

Click here to learn more about the intern experience.

Working out of 26 offices in 15 countries, StepStone has a truly global viewpoint. As people are our biggest asset, we offer resources to help our employees reach their full potential. Our principles are based on integrity, transparency, respect and creativity, which together define how we do business.

Join us

When you choose to work at StepStone, you'll find a group of professionals who are passionate about anticipating changes, solving problems and working together to make it all happen. Our integrated global team shares insights into how managers think and operate, as well as how they might perform.

StepStone offers a competitive compensation package including salary and incentive compensation for all full time hires, as well as a comprehensive benefits package.

Benefits

We offer a range of benefits which include comprehensive healthcare, strong retirement plan, a mental health well-being program, paid time off, student loan repayment program for our US office locations, and several wellness initiatives.

Disclaimer / Policy Statements

At StepStone, diversity, equity and inclusion are an integral part of our culture. We are an Equal Opportunity Employer that strives to create an inclusive environment that empowers our employees and allows them to be heard, regardless of title or tenure. Our organizational community features multiple Employment Resource Groups representing our dedication to Diversity, Equity & Inclusion.

As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law.

Developing People at StepStone

Frequently Asked Questions

How do I apply for the Private Wealth Data Science Intern position at StepStone Group? ▼

Click the “Apply for this Position” button on this page to submit your application directly to StepStone Group without recruitment intermediary fees.

Is this position eligible for remote work or visa sponsorship? ▼

This position is located in Orlando, FL with potential relocation and sponsorship assistance depending on candidate qualifications.

Are there any candidate fees on Hirely? ▼

No. Hirely is completely free for candidates. We never charge registration fees or placement fees.

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