Data Scientist Intern 2024

IBM; New York (NY); On-site; USD 40,000 - 60,000; Full time

Job summary

IBM is seeking a Data Scientist intern to join their technical sales team in New York City. You will co-develop innovative business solutions and help transform clients' businesses by applying data science and machine learning skills.

This internship offers a chance to grow your skills within a collaborative and experiential team environment while gaining industry insights and engaging with clients directly.

Opportunities are available in multiple US locations, making this an exciting entry point for aspiring data scientists.

Qualifications

• Registered undergraduate (rising Junior or Senior) or graduate student.
• Working knowledge in Python, R, SQL or similar languages.
• Demonstrate a growth mindset and stay current on technical growth in data science.

Responsibilities

• Collaborate with Client Engineering colleagues to define solutions.
• Translate business problems into analytics solutions.
• Apply data engineering techniques for analysis and AI automation.

Skills

Consultative sales

Technical solutions

Analytic skills

Problem solving

Programming (Python, R, SQL)

Education

B.S./M.S. in Computer Science, Data Science, Math, Statistics, Engineering or similar

Tools

Jupyter Notebooks

scikit-learn

Pandas

Spark

Job description

Ranked by Forbes as one of the world’s best employers in 2022, promotes growth and innovation to lead as we enter the era of hybrid cloud and AI – helping clients transform their business.

As a Data Scientist intern, you will be a member of a technical sales team to co-develop innovative business solutions.

You will be directly impacting the world’s most influential enterprises and brands on the adoption of next-generation platforms.

This is a summer 2024 position. ’s comprehensive Sales Intern and industry-leading learning culture will prepare you with a strong foundation for client engagement success and skills to take with you at the conclusion of the internship.

Our team environment is collaborative and experiential. You’ll be surrounded by bright minds and keen co-creators ready to assist as you apply practices that will compel our clients to invest in ’s products and services.

Your Role and Responsibilities

In this role, you’ll become the go-to subject matter expert, collaborating with Client Engineering colleagues from various roles to define solutions and lead the way in how they get built in the age of cloud and AI. The role is hands-on; co-creating using data science, machine learning and programming skills in six-week client engagements.

A ‘Day-in-the Life’ of a Data Scientist intern may include, but not be limited to:

• Growing skills and knowledge in consultative sales, technical solutions, and industry applications to apply during client engagements.
• Contributing to a pre-sales Client Engineering team to understand client business problems and propose solutions via co-creation of proof of concept and minimal viable solutions.
• Translating business problems into leading-edge analytics solutions using consulting skills, industry expertise and technical knowledge.
• Delivering meaningful insights and predict emerging trends to inform business solutions that optimize client value.
• Applying data engineering techniques to gather, prepare, cleanse, and transform client data for analysis and AI automation.

To be successful in this role, you will need:

• Confidence to engage new customers and deliver an elevated experience.
• Motivation to achieve sales, business objectives and high client satisfaction.
• Strong analytic, problem solving, and troubleshooting skills combined with an agile process.
• Embrace curiosity and a growth mindset.

Opportunities are available in: Atlanta GA, Boston MA, Chicago IL, Dallas TX, New York NY, San Francisco CA, and Washington DC – to name a few.

Required Technical and Professional Expertise

• Registered undergraduate (rising Junior or rising Senior) or graduate university student.
• B.S./M.S. in Computer Science, Data Science, Math, Statistics, Engineering or equivalent technical degree/experience.
• Working knowledge in Python, R, SQL or language in similar discipline.
• Demonstrate a growth mindset; current on technical growth in the data science space.
• Conversant about technology, industry trends and how it is being applied to address business challenges.
• Professional verbal, written, and interpersonal skills.
• Proven team collaboration and leadership.
• Willingness to travel based on business need – up to 10%.

Preferred Technical and Professional Expertise

• Knowledge of data science libraries and frameworks, such as, Jupyter Notebooks, scikit-learn, Pandas, Spark.
• Specialization in areas such as NLP/NLU, prescriptive analytics and optimization, MLOps, AI solutions, machine vision, and/or data visualization.