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Job Title: Data Science Intern

Location: Beijing China
Duration: Temporary 36 months Parttime
Reports to: Data Science Manager / Assigned Team Lead

Position summary

Participates in an internship program for a temporary duration and assists an assigned data science team. The intern contributes to team projects receives training and mentoring and carries out tasks under the guidance of colleagues. This role is designed to provide practical supervised experience in data analysis and applied machine learning.

Key responsibilities

• Participate fully in the internship program for the assigned duration.

• Assist and contribute to the assigned teams projects and deliverables.

• Work on data preparation tasks: acquisition cleaning transformation and quality checks.

• Perform exploratory data analysis and produce clear visualizations and insights.

• Support development and evaluation of predictive or descriptive models (e.g. regression classification clustering) under supervision.

• Help document methods code and results in reproducible notebooks and handoffs.

• Attend team meetings training sessions and 1:1s with mentors; incorporate feedback.

• Follow guidance from supervisors and senior teammates when planning and executing assignments.

• Complete assigned tasks on time and flag issues or risks to the supervisor.

• Contribute to basic automation ETL tasks or experiment analysis as needed.

Training & mentoring

• Receive structured onboarding training and regular mentorship from experienced colleagues.

• Participate in knowledgesharing sessions code reviews and progress checkpoints.

• Expect progressive responsibility as skills and understanding grow during the internship.

What youll learn

• Practical endtoend data science workflow in a team setting.

• Translating business questions into analytic plans and measurable outcomes.

• Working with real datasets version control and collaborative engineering handoffs.

• Communicating technical results to both technical and nontechnical stakeholders.

Required qualifications

• Currently pursuing or recently completed a degree in Data Science Computer Science Statistics Mathematics Engineering Economics or a related field.

• Basic foundation in statistics data analysis concepts and programming.

• Experience with Python or R and common libraries (e.g. pandas numpy scikitlearn) or equivalent.

• Familiarity with SQL for data extraction.

• Strong curiosity attention to detail and willingness to learn.

• Good verbal and written communication skills.

Preferred qualifications

• Prior coursework or projects in machine learning data visualization or experimentation.

• Familiarity with Jupyter Notebooks Git and basic command line.

• Exposure to cloud platforms or basic data engineering concepts is a plus.

Logistics & benefits

• Temporary/paid internship.

• Mentorship and performance feedback.

• Flexible working arrangements.

• Access to learning resources and internal training.

Equal opportunity

Johnson and Johnson is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to creating an inclusive environment.

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