Data Science (Operations Research) Internship

Actively hiring
Data Science (Operations Research)
Start Date
Starts immediatelyImmediately
Duration
3 Months
Stipend
₹ 15,000 /month
APPLY BY
11 Dec' 24
Posted 5 days ago
Internship

About the internship

Selected intern's day-to-day responsibilities include:

1. Assisting in developing and refining OR models and algorithms to optimize public transport routes and schedules
2. Working with OR tools like OptaPlanner/Timefold to solve complex transport planning problems
3. Analyzing large datasets to identify patterns, inefficiencies, and areas for improvement in public transport systems
4. Collaborating with cross-functional teams, including transport planners and software developers, to implement solutions
5. Preparing detailed reports and documentation to communicate findings and recommendations

Skill(s) required

Data Science Java
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Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 8th Nov'24 and 13th Dec'24

3. are available for duration of 3 months

4. have relevant skills and interests

* Women wanting to start/restart their career can also apply.

Other requirements

1. Currently pursuing or recently completed a degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field

2. Proficiency in OR tools such as OptaPlanner/Timefold and knowledge of Java is a must

3. Strong analytical and problem-solving skills with the ability to interpret complex data

4. Excellent written and verbal communication skills

Perks

Certificate Letter of recommendation Flexible work hours Informal dress code 5 days a week

Number of openings

1

About Street Surge Technologies

Tech solutions to unblock the transformation of India's urban infrastructure. We provide on-demand Big Data for mobility decisions, AI-driven transportation planning & urban design toolbox to lower congestion, pollution, accidents & a higher quality of life for citizens.
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