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10,899 data sciences interview questions shared by candidates

5 min talk/summary of your dissertation, will then ask questions based on your dissertation (techniques, challenges, other biological methods used etc..); my advice is to know your dissertation. Given questions day prior to interview: 1. What skills and traits do you have that make you suitable for this role and why should we appoint you? 2. Please tell us about a time where you worked independently and the things you think are important to do when working in a team? 3. What are you most excited to learn or gain from this graduate programme and how do you think it will improve you? 4. Please tell us about a time where attention to detail was critical in your work. How did you ensure the accuracy or reliability of your results? 5. What areas within a research laboratory (outside the infrastructure to power the building) do you think could be the focus of efforts to improve our environmental sustainability?
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Science Technology Graduate Programme

Interviewed at London Institute of Medical Sciences

3.6★
Oct 11, 2024

5 min talk/summary of your dissertation, will then ask questions based on your dissertation (techniques, challenges, other biological methods used etc..); my advice is to know your dissertation. Given questions day prior to interview: 1. What skills and traits do you have that make you suitable for this role and why should we appoint you? 2. Please tell us about a time where you worked independently and the things you think are important to do when working in a team? 3. What are you most excited to learn or gain from this graduate programme and how do you think it will improve you? 4. Please tell us about a time where attention to detail was critical in your work. How did you ensure the accuracy or reliability of your results? 5. What areas within a research laboratory (outside the infrastructure to power the building) do you think could be the focus of efforts to improve our environmental sustainability?

There were many technical questions that require an incredibly detailed explanation and use cases. Some of the questions I was asked include: 1. I was asked to describe hypothesis testing and statistical modeling processes 2. Describe processes of model optimization using a use case scenario 3. Web scraping, data cleaning, and analysis process 4. Describe a use case where I have trained a model and deployed using a different framework 5. Explain the different types of machine learning models and process I used to evaluate the accuracy of the models
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Lead Analyst -- Data Science

Interviewed at Infosys

3.6★
May 7, 2021

There were many technical questions that require an incredibly detailed explanation and use cases. Some of the questions I was asked include: 1. I was asked to describe hypothesis testing and statistical modeling processes 2. Describe processes of model optimization using a use case scenario 3. Web scraping, data cleaning, and analysis process 4. Describe a use case where I have trained a model and deployed using a different framework 5. Explain the different types of machine learning models and process I used to evaluate the accuracy of the models

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