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NewInternship· datascience · analytics
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Honeywell

Data Science Intern

Pay

₹33K–50K/mo

+22% vs avg

Location

Bangalore

On-site

Batch

2026, 2027, 2028, 2029

eligible

Closes

Posted 3h ago · 2,366 views this week

₹33K–50K/mo

Internship · Bangalore · On-site

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Description

About the role

Honeywell is offering a Data Science internship for master’s students to work on real‑world analytics projects that drive business value. Interns will engage in data analysis, build predictive models, visualise insights and collaborate with seasoned data scientists and engineers, gaining hands‑on experience in an industrial automation environment.

Responsibilities

  • Analyse large datasets to uncover trends, patterns and actionable insights.
  • Design, develop and evaluate predictive models using machine‑learning algorithms.
  • Partner with cross‑functional teams to gather requirements and translate them into data‑driven recommendations.
  • Present analytical findings and strategic recommendations to stakeholders in clear, visual formats.

Eligibility

  • Pursuing a Master's degree in Data Science, Computer Science or a closely related discipline.
  • Hands‑on experience with data analysis and machine‑learning concepts.
  • Proficiency in Python or R for data manipulation and modelling.
  • Familiarity with data‑visualisation tools such as Tableau or Power BI.
  • Strong analytical, problem‑solving and communication skills.
  • Ability to work collaboratively in a team‑oriented environment and a passion for continuous learning.

Skills

  • Python programming
  • R programming
  • Data analysis techniques
  • Machine‑learning model development
  • Data visualisation using Tableau or Power BI

Benefits

  • Monthly stipend ranging from ₹33,000 to ₹50,000.
  • Exposure to real‑world data‑science projects within a global industrial leader.
  • Mentorship from experienced data scientists and engineers.
  • Opportunity to develop practical skills in analytics, modelling and visualisation.

Skills

· 6 total
pythonrdata analysismachine learningtableaupower bi