Hey everyone,
I’m looking for some perspective and advice on pivoting my career towards data analysis or data science in the EU, and wanted to get the community’s take on my background.
My situation is a bit specific, so bear with me:
My Background & Skills:
PhD in Finance from a top university in Sweden. This means I have a strong theoretical and practical foundation in statistics, econometrics, and quantitative methods. During my PhD, I heavily used Python for data cleaning, statistical analysis, modeling (primarily time series and cross-sectional financial data), and visualization of my research. Irrelevant but, I have 3 years of work experience at a buy-side investment fund in Switzerland. This role involved building financial models and was client-facing . While not a « quant » role, it did involve working with complex datasets, building analytical tools, and required a strong understanding of domain knowledge. Currently, I’m actively working on strengthening my SQL skills daily, as this was less central in my previous roles.
My Goals:
I’m not immediately aiming for hardcore AI/ML engineering roles. I understand that’s a different beast requiring deeper ML theory and engineering skills which I currently lack. My primary target is to break into Data Analysis or Data Science roles where my existing quantitative background, statistical knowledge, and Python skills are directly applicable. I see a significant overlap between my PhD work and the core competencies of a Data Scientist, particularly on the analysis and modeling side.’ My goal is to land an entry-level position in the EU. I’m not targeting FAANG or hyper-competitive senior roles right off the bat. I want to get my foot in the door, gain industry experience, and then use that foothold to potentially deepen my ML knowledge over time.
How realistic are my chances of being considered for entry-level Data Analysis or Data Science roles in the EU?
submitted by /u/Longjumping-Hat7564 to r/learnmachinelearning
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