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Intern Data Scientist Machine Learning Jobs in New York

Nelo is a leading consumer fintech and e-commerce platform in Mexico, and they are seeking a Data Scientist to build decision engines for credit access in emerging markets. The role involves ...

Move fast, learn fast: hundreds of experiments run monthly; rigorous experimentation culture Why this Role is Different Most Data Science roles currently on the market are focused on optimizing ad ...

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

Analyze large and complex datasets to identify patterns, build statistical and machine learning ... Integrate the latest data science innovations into product solutions, enhancing data, analytical ...

Senior Data Scientist

Bridgewater, NJ · On-site

$130 - $160/hr

We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI ... Experience applying machine learning techniques, including Regression, Clustering, Probability ...

We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what''s possible with machine learning and statistical modeling. About the ...

Data Scientist

Manhattan, NY · On-site

$120 - $170/hr

The Data Scientist will be responsible for designing, developing, evaluating, and optimizing machine learning models that solve complex business problems for our enterprise clients. This role ...

Data Scientist AI ML Advanced Analytics Position Summary We are seeking an analytical and ... Machine Learning This role focuses on discovering actionable insights from complex datasets ...

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Intern Data Scientist Machine Learning information

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in New York?

The most popular types of Data Scientist Machine Learning jobs in New York are:

What are popular job titles related to Intern Data Scientist Machine Learning jobs in New York?

For Intern Data Scientist Machine Learning jobs in New York, the most frequently searched job titles are:

What job categories do people searching Intern Data Scientist Machine Learning jobs in New York look for?

The top searched job categories for Intern Data Scientist Machine Learning jobs in New York are:

What cities in New York are hiring for Intern Data Scientist Machine Learning jobs?

Cities in New York with the most Intern Data Scientist Machine Learning job openings:

Data Scientist (Machine Learning)

Nelo

Manhattan, NY • On-site

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

Job Summary:
Nelo is a leading consumer fintech and e-commerce platform in Mexico, and they are seeking a Data Scientist to build decision engines for credit access in emerging markets. The role involves designing causal inference models, creating algorithms for credit pricing, and leading ML infrastructure projects.
Responsibilities:
• Solve the "Why," not just the "What": You will design and deploy causal inference models to drive our underwriting and portfolio management strategies.
• Build the Core Engine: You will create and refine the algorithms for credit pricing, personalization, and ranking.
• Own the Infrastructure: You won't just hand off a Jupyter notebook to an engineer. You will lead ML infrastructure projects, ensuring observability and operational excellence for the models you build.
Qualifications:
Required:
• Strong academic background (PhD preferred)
• Deep theoretical roots in classification, forecasting, and optimization
• At least 5 years of experience applying theoretical knowledge in a production environment
• Proficient in writing production-grade Python
• Proficient in SQL
• Ability to balance intellectual rigor with the need to execute
• Willingness to work in-office in NYC
Company:
Nelo increases the buying power for consumers in LatAm. Backed by Two Sigma Ventures, Homebrew, Susa Ventures, and more. Founded in 2019, the company is headquartered in Mexico City, MEX, with a team of 11-50 employees. The company is currently Early Stage.