| Item | Price (₹) |
|---|---|
| basicLunch | ₹ 159 |
| midRangeDinner | ₹ 844 |
| coffee | ₹ 164 |
| milk (1 liter) | ₹ 64 |
| bread (1 loaf) | ₹ 47 |
| eggs (12) | ₹ 88 |
| rice (1 kg) | ₹ 66 |
| chicken (1 kg) | ₹ 251 |
| fruits (1 kg) | ₹ 125 |
| vegetables (1 kg) | ₹ 61 |
For a Data Scientist living in Pune, managing monthly expenses with a salary of ₹1,00,000 is quite feasible. The estimated cost of living is approximately ₹29,400, offering potential savings of ₹70,600 per month.
Major expense components include rent (₹14,500), groceries (₹5,000), utilities (₹2,000), and transport (₹1,500). Additionally, you may spend on dining (₹2,800), internet (₹800), entertainment (₹1,200), and miscellaneous needs (₹1,600).
In terms of food and grocery essentials, Pune offers a variety of options. A basic lunch near work typically costs around ₹159, and a mid-range dinner for two is around ₹844. Common items like milk (₹64), bread (₹47), and eggs (₹88) are reasonably priced.
For protein sources, chicken costs about ₹251 per kilogram, while rice is around ₹66. Fresh fruits and vegetables average ₹125 and ₹61 respectively per kg.
Overall, Pune provides a balanced lifestyle for Data Scientists, combining career opportunities with manageable living expenses. This breakdown helps professionals evaluate living costs and plan their budgets effectively.
Q: What is the average salary of a Data Scientist in Pune?
A: Average monthly salary of a Data Scientist in Pune is estimated to be ₹100000. This may vary depending on experience and industry.
Q: Can a Data Scientist save money while living in Pune?
A: Yes, based on typical expenses of ₹29400, a Data Scientist earning ₹100000 could save around ₹70600 per month with mindful budgeting.
Q: What are the main expenses for a Data Scientist in Pune?
A: Key monthly expenses include rent, groceries, transport, and utilities. Dining, entertainment, and internet also contribute to the overall cost of living.
Q: Is Pune a good place for Data Scientists to live and work?
A: Pune provides solid opportunities and infrastructure for Data Scientists, making it a viable option for both career and lifestyle.