It depends on 4 variables:
1) Your place of work. Salaries for the same position are higher in Silicon Valley than in Lithuania due to higher cost of living, demand/supply dynamics, and other factors.
2) The position you are aiming for. If your plan is to secure a data analytics position after completing a data science program, your salary might be lower.
3) Your experience and skills.
4) Performance on interview and your negotiation skills. Even the best candidates have bad days, when answering questions, no matter how simple, proves difficult. Needless to say, this can have an impact on the initial offer you receive. Your final salary will also to a large extent depend on the success of negotiations after the interview.
The following salaries are intended as a reference point for students intending to seek employment in Lithuanian companies:
Program | Data Science program graduates | Data Analytics program graduates |
Average starting salary of graduates | 1,700 Eur (net) | 1,100 Eur (net) |
Positions | Data Scientist, ML Engineer, Data Engineer, Data Analyst, Decision Scientist, AI Engineer | Data Analyst, BI specialist, Business Analyst, Insights Analyst, Marketing Data Analyst, Product Data Analyst |
Salaries in Europe and elsewhere
If you’re interested in working in another European country, we would advise you to start with Glassdoor’s base pay calculator by choosing the relevant country or city. Please have in mind, though, that base pay estimates can be off by as much as 20% because they average out not only junior, but also mid and senior positions. Despite this margin of error, base pay estimates can still be useful for identifying reasonable offers. You should expect to get a salary close to the base pay level, without feeling pressured to accept offers that fall more than 20% below the base salary in a particular country.