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Junior Data Science Rotational Program Jobs in New York

... to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced ... Required : • Minimum five years of recent experience in data science or a related machine ...

... to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced ... Required : • Minimum five years of recent experience in data science or a related machine ...

As a Junior Data Engineer, the candidate will help build and maintain the data infrastructure that ... Bachelor's degree in Computer Science, Engineering, or related field What you get * Medical, dental ...

New

People Leadership Track • Mentoring and guiding junior data scientists or analysts • Taking on team-lead or people management responsibilities • Contributing to hiring, onboarding, and team ...

JUNIOR DATA ANALYST

Manhattan, NY · On-site

$70 - $80/hr

... programs. KEY RESPONSIBILITIES Reporting and Dashboards * Maintain, improve, and automate recurring ... The Junior Data Analyst is expected to work from the New York office 2 to 3 times per month on a ...

New

Data Scientist Adobe

Manhattan, NY · On-site

$150 - $190/hr

... field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work ... Ability to work collaboratively in a team environment and mentor junior data scientists. * Self ...

Sr Data Scientist

New York, NY · On-site

$143K - $212K/yr

... data science, ensuring data quality, and mentoring junior scientists. Essential Responsibilities ... That's why we offer comprehensive, choice-based programs, to support all aspects of personal ...

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

... junior Data Scientists. Lead projects as needed or required - (10%) Minimum Qualifications ... Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ...

Lead data science projects in close collaboration with IT, Data Engineering, Application ... Mentor junior data scientists in AI Engineering, LLM app development, and best practices What you ...

Lead data science projects in close collaboration with IT, Data Engineering, Application ... Mentor junior data scientists in AI Engineering, LLM app development, and best practices What you ...

Showing results 41-60

Junior Data Science Rotational Program information

What is the difference between Junior Data Science Rotational Program vs Data Analyst?

AspectJunior Data Science Rotational ProgramData Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; some programs prefer internshipsBachelor's in Analytics, Business, or related field; certifications like Excel, SQL often preferred
Work EnvironmentRotational roles across teams, learning various data functions, often in tech or finance companiesFocused on analyzing data sets, creating reports, supporting decision-making in diverse industries
Employer & Industry UsageCommon in tech, finance, consulting firms offering structured training programsWidely used across industries for data-driven decision support

The Junior Data Science Rotational Program provides a structured, multi-team learning experience for aspiring data scientists, often including rotations across data functions. In contrast, Data Analysts focus on analyzing data, creating reports, and supporting business decisions. Both roles require strong analytical skills, but the rotational program emphasizes broad exposure and skill development, while Data Analysts typically specialize in data interpretation and reporting.

What are the most commonly searched types of Data Science Rotational Program jobs in New York?

The most popular types of Data Science Rotational Program jobs in New York are:

What cities in New York are hiring for Junior Data Science Rotational Program jobs?

Cities in New York with the most Junior Data Science Rotational Program job openings:

Data Scientist- Manager

KPMG US

Montvale, NJ • On-site

Full-time

Re-posted 21 days ago


Job description

Job Summary:
KPMG is a leading provider of audit, tax, and advisory services, recognized for its supportive work culture and commitment to individual development. They are seeking a Data Scientist - Manager to lead a team in developing generative AI solutions, guiding the data science lifecycle, and collaborating with various stakeholders to deliver high-quality technical solutions.
Responsibilities:
• Develop sophisticated generative AI solutions; provide technical guidance to a team of data scientists
• Guide the end-to-end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization
• Collaborate closely with product managers, audit subject matter experts, and engineering teams to translate complex business requirements into scalable and reliable technical solutions
• Champion a culture of quality and innovation within engineering teams; identify opportunities to continually improve solutions
• Drive quality SDLC processes with AI engineering teams; deliver solutions on time to meet business cycle timelines
• Champion and enhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMG's standards for quality
• Provide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum five years of recent experience in data science or a related machine learning field with a proven track record of delivering AI solutions into production environments
• PhD or Master's degree from an accredited college or university in computer science, statistics, mathematics, or a related quantitative discipline is required
• Hands-on expertise with generative AI including extensive experience with LLMs (for example, Azure OpenAI, Google Cloud), RAG pipelines, and AI frameworks such as LangChain/LangGraph or Semantic Kernel
• Proficient in Python and its data science ecosystem; experienced in building solutions on data platforms like Databricks or Microsoft Fabric and search technologies like Azure AI Search
• Solid understanding of the software development lifecycle (SDLC) in an agile environment; experienced with version control tools like Git and CI/CD tools within Azure DevOps
• Exceptional analytical skills; able to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.