(Data scientist vs SDE) Hi, I am working as sde with 12lpa(8.4 fixed). I have 1 year of experience in Spring boot, MVC, Java, and html-js-css. I want to make as much money as possible in long run(do not consider managerial role). I am learning ML, data science and AI. I am confident that I will get job in this field. What should I choose Software development or Data science(further I will specialise in AI), purely based on MONEY? I am so confused right now.
Pls help me choose BP: 24 LPA fixed + 2 LPA Bonus + 0.5 share buyback - Pune Ascendion: 27 LPA Fixed - BLR Publicis Sapient: 26 LPA Fixed - Gurgaon (Near home) Easebuzz - 27 LPA Fixed - Pune EXL - 26 LPA Fixed - PAN India People are saying BP gives more than 100% bonus sometimes, plus BP is a PBC and seeing current market job security is best in BP. Not sure what to choose.
Guys , someone please guide me how should I prepare for Barclays full stack role with 9 yrs. It's a matter of marriage. Girl I liked much but she wants a guy with job in banking product based company only.I am serving np but offers from service industry only. Nowadays service has no value.please guys guide me if any preparation way or samples anyone can provide. It's life's decison for me.
Recently had some unexpected free time, so I built BeyondSalary: beyond-salary.vercel.app/ Most software engineering relocation discussions focus only on salary, but very few compare: • actual savings after tax • cost of living • healthcare • layoffs & notice periods • vacation policies • air quality • work-life balance Would genuinely love feedback from people working across these countries. Also exploring senior/staff frontend opportunities.
Don’t be a fool. There is more money and growth in Software Engineering compared to Data Science. There are very few openings for Data Science compared to Software.
Okay understood.
Everyone is getting into AI, no longer a niche role Don’t expect too much money here
Don’t really know someone who is SDE and what they are earning but just don’t fall for a hype
Baitho beta, abhi bahut kuch seekhna h life m 🤣
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