Your CV is often your first chance to show off what you’ll bring to the hiring organisation. Working in data science involves taking information from a number of sources, before providing insights and solutions for the organisation or its clients. Whether at entry-level or in a senior role, it’s vital that the person reading your CV knows you’re comfortable doing this. If you’re struggling on this, I’ve discussed the role and the skills required in more detail here.
Below I’ve given some examples of what to include in your CV for a better chance of securing an interview. If you’ve already been put through to the interview stage, why not read my guidance on how to prepare?
How can you get into data science if you have no experience?
Tailoring your CV to the role is vital. List the qualifications and experiences you have in separate sections and demonstrate your skills through these. Following these steps will give you a much better chance of getting an interview for a data science role, whether you have no experience or are looking to step up the ladder.
Are you searching for a job in tech? Read our other CV tips here, or search our data science jobs here.
Martin Pardey Senior Business Director, South East, Hays UK
Martin Pardey is a Director for Hays in the South East, the World’s largest specialist recruitment company. Martin has 15 years’ experience at Hays, specialising in the last few years in the Business Intelligence and Data Analytics sector.
Whether you are looking for a new job or a pay rise, it helps to understand what the typical salaries are and what your potential earnings could be.
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