Data Science and AI (Scientist)
Archer
Charlotte, NCFresher3m agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed · MBA / PGDM
- Must know
- Machine learningStatisticsPythonSQLSpring
- Work
- On-site in Charlotte
- Pay
- Not stated by the employer.
- Skill demand
- Python79%Machine learning68%Statistics55%SQL52%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 30, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
The Technology Leadership Program (TLP) is a rotational development experience for early-career technologists. As a Data Scientist participant, you will complete three rotations across Data & Analytics-focused teams, gaining exposure to different domains, tools, and business challenges. This program aims to build deep expertise in advanced analytics while developing leadership skills needed to drive innovation and impact.
Key Responsibilities
- Develop and apply machine learning models and advanced statistical techniques to solve business problems.
- Work with large and complex data sets to identify patterns, trends, and opportunities.
- Design experiments, build predictive and prescriptive models, and support model validation efforts.
- Translate business problems into analytical approaches and deliver solutions from concept to implementation.
- Partner with data, engineering, and business teams to drive data-informed decision-making.
- Communicate complex analytical findings and recommendations to both technical and non-technical audiences.
- Take ownership of projects and contribute to delivering high-impact outcomes.
- Collaborate across teams, share insights, and influence strategic decisions.
- Build a network with program managers, alumni, senior leaders, and peers.
- Meet regularly with your department manager and program manager for coaching and mentorship.
Requirements & Tech Stack
- Strong interest in machine learning, AI, and advanced analytics.
- Experience with programming languages such as Python or SQL.
- Familiarity with analytical or modeling tools.
- Demonstrated leadership potential, initiative, and ability to take ownership of work.
- Strong analytical, communication, interpersonal, and problem-solving skills.
- Ability to work independently and as part of a collaborative, team-oriented environment.
Qualifications
- Master’s, MBA, or relevant advanced degree in Data & Analytics, Data Science, Applied Mathematics, Statistics, Economics, Computer Science, or a related quantitative or analytical field.
- Cumulative GPA of 3.2 or higher preferred.
Special Factors
- This position will begin in 2027.
- Students graduating in December 2026 or Spring 2027 are encouraged to apply.
- Vanguard is not offering visa sponsorship for this position.