If you work in data science, you’ll already be familiar with extracting data, highlighting key information, and crafting easy-to-read reports for businesses. Want in on a secret? Writing a CV is exactly the same.
So, what better example of your capabilities than a concise, easy to read CV that gives an employer all the key information about your experience and professional background?
For help crafting an interview-winning CV for data science jobs, take a look at our data science CV example below.
Data Science CV example
Unsure of what your Data Science CV should look like?
Have a look at the CV example above to get familiar with the structure, layout and format of a professional CV.
As you can see, it provides plenty of relevant information about the applicant but is still very easy to read, and brief – which will please busy recruiters.
Data Science CV layout and format
The format and structure of your CV is important because it will determine how easy it is for recruiters and employers to read your CV.
If they can find the information they need quickly, they’ll be happy; but if they struggle, your application could be overlooked.
A simple and logical structure will always create a better reading experience than a complex structure, and with a few simple formatting tricks, you’ll be good to go.
CV formatting tips
- Length: Whether you’ve got one year or three decades of experience, your CV should never be more than two sides of A4. Recruiters are busy people who’re often juggling numerous roles and tasks, so they don’t have time to read lengthy applications. If you’re a recent graduate or don’t have much industry experience, one side of A4 is fine.
- Readability: To help busy recruiters scan through your CV, make sure your section headings stand out – bold or coloured text works well. Additionally, try to use bullet points wherever you can, as they’re far easier to skim through than huge paragraphs. Lastly, don’t be afraid of white space on your CV – a little breathing space is great for readability.
- Design: The saying ‘less is more’ couldn’t be more applicable to CVs. Readability is key, so avoid overly complicated designs and graphics. A subtle colour palette and easy-to-read font is all you need!
- Avoid photos: It’s tempting to add a profile photo or images to your CV, especially if you’re struggling to fill up the page – but it’s best avoided! They won’t add any value to your application and, as are not a requirement the UK, so recruiters do not expect it, or want to see it.
Quick tip: Formatting your CV to look professional can be difficult and time-consuming when using Microsoft Word or Google Docs. If you want to create an attractive CV quickly, try our partner’s CV builder and use one of their eye-catching professional CV templates.
As you write your CV, work to the simple but effective structure below:
- Name and contact details – Pop them at the top of your CV, so it’s easy for recruiters to contact you.
- CV profile – Write a snappy overview of what makes you a good fit for the role; discussing your key experience, skills and accomplishments.
- Core skills section – Add a short but snappy list of your relevant skills and knowledge.
- Work experience – A list of your relevant work experience, starting with your current role.
- Education – A summary of your relevant qualifications and professional/vocational training.
- Hobbies and interests – An optional sections, which you could use to write a short description of any relevant hobbies or interests.
Now I’ll tell you exactly what you should include in each CV section.
CV Contact Details
Kick-start your CV with your contact details, so recruiters can get in touch easily.
Here’s what you should include:
- Mobile number
- Email address – Make sure it’s professional, with no silly nicknames.
- Location – Your town or city is sufficient, rather than a full address.
- LinkedIn profile or portfolio URL – Ensure they’ve been updated and are looking slick and professional.
Quick tip: Avoid listing your date of birth, marital status or other irrelevant details – they’re unnecessary at this stage.
Data Science CV Profile
Recruiters and hiring managers are busy, so it’s essential to catch their attention from the get-go.
A strong introductory profile (or personal statement, for junior candidates) at the top of the CV is the first thing they’ll read, so it’s a great chance to make an impression.
It should be a short but punchy summary of your key skills, relevant experience and accomplishments.
Ultimately, it should explain why you’re a great fit for the role you’re applying for and inspire recruiters to read the rest of your CV.
Tips for creating an strong CV profile:
- Keep it concise: The best CV profiles are short, sharp and highly relevant to the target role. For this reason, it’s best to write 3-4 lines of high-level information, as anything over might be missed.
- Tailor it: The biggest CV mistake? A generic, mass-produced document which is sent out to tens of employers. If you want to land an interview, you need to tailor your CV profile (and your application as a whole) to the specific roles you’re applying for. So, before you start writing, remember to read over those job descriptions and make a list of the skills, knowledge and experience the employers are looking for.
- Don’t add an objective: Career goals and objectives are best suited to your cover letter, so don’t waste space with them in your CV profile.
- Avoid cliches: Cheesy clichès and generic phrases won’t impress recruiters, who read the same statements several times per day. Impress them with your skill-set, experience and accomplishments instead!
Example CV profile for Data Science
What to include in your Data Science CV profile?
- Summary of experience: To give employers an idea of your capabilities, show them your track record by giving an overview of the types of companies you have worked for in the past and the roles you have carried out for previous employers – but keep it high level and save the details for your experience section.
- Relevant skills: Highlight your skills which are most relevant to Data Science jobs, to ensure that recruiters see your most in-demand skills as soon as they open your CV.
- Essential qualifications: Be sure to outline your relevant Data Science qualifications, so that anyone reading the CV can instantly see you are qualified for the jobs you are applying to.
Quick tip: Struggling to write a powerful profile? Choose from hundreds of pre-written profiles across all industries, and add one to your CV with one click in our partner’s CV builder. All written by recruitment experts and easily tailored to suit your unique skillset.
Core skills section
In addition to your CV profile, your core skills section provides an easily digestible snapshot of your skills – perfect for grabbing the attention of busy hiring managers.
As Data Science jobs might receive a huge pile of applications, this is a great way to stand out and show off your suitability for the role.
It should be made up of 2-3 columns of bullet points and be made up of skills that are highly relevant to the jobs you are targeting.
Top skills for your Data Science CV
Data engineering – building systems to enable the collection and usage of data for subsequent analysis and data science.
AI project lifecycle – understanding all stages of the lifecycle from data collection, data analysis, feature engineering and algorithm selection to model building, tuning, testing, deployment, management, monitoring and feedback loops for continuous improvement.
Business intelligence – utilising data to analyse past events and make appropriate decisions regarding future ones.
Prototyping and algorithms – utilising various techniques to transform data sources.
Statistical modelling – applying statistical analysis to complex data sets to further understand the information contained within the data.
Quick tip: Our partner’s CV builder contains thousands of in-demand skills for every profession that can be added to your CV in seconds – saving you time and greatly improving your chances of landing job interviews.
Work experience/Career history
Now that recruiters have a good overview of your skills and abilities, you need to jump into the detail of your career history.
Give them a more thorough insight into what you can do by creating a detailed list of your relevant experience.
Start with your current role, and work backwards through all the relevant positions you’ve held.
This could be freelance, contract or voluntary work too; as long as it’s related to the role you’re applying for.
Structuring your roles
Whilst writing your CV, it’s essential to look at it from the eyes of a recruiter.
If they’re met with giant blocks of text which are impossible to navigate, they might get frustrated and skip onto the next CV.
Instead, make use of the 3-step structure shown below, to give them a pleasant reading experience.
Start with a brief summary of your role as a whole, as well as the type of company you worked for.
Next up, you should write a short list of your day-to-day duties within the job.
Recruiters are most interested in your sector-specific skills and knowledge, so highlight these wherever possible.
Round up each role by listing 1-3 key achievements, accomplishments or results.
Wherever possible, quantify them using hard facts and figures, as this really helps to prove your value.
Example job for Data Science CV
Spearhead data science/engineering, product analytics, and growth marketing analytics to ensure the social media giant’s customers have an amazing experience.
- Formulate and manage data-centric projects geared towards furthering business interests.
- Provide expertise on statistical analysis/modelling and mathematical concepts to inspire adoption of advanced data science across all business areas.
- Lead rollout of big data capabilities and governance to accurately outline consumer predictive value, segmentation, churn, and profiling within analytics department.
- Build data management infrastructure to be used for conducting research, design, development, and validation of cutting-edge algorithms for analyse diverse data sources.
Quick tip: Create impressive job descriptions easily in our partner’s CV builder by adding pre-written job phrases for every industry and career stage.
In your education section, make any degrees, qualifications or training which are relevant to Data Science roles a focal point.
As well as mentioning the name of the organisation, qualification titles and dates of study, you should showcase any particularly relevant modules, assignments or projects.
Interests and hobbies
This section is entirely optional, so you’ll have to use your own judgement to figure out if it’s worth including.
If your hobbies and interests could make you appear more suitable for your dream job, then they are definitely worth adding.
Interests which are related to the industry, or hobbies like sports teams or volunteering, which display valuable transferable skills might be worth including.
Writing your Data Science CV
A strong, compelling CV is essential to get noticed and land interviews with the best employers.
To ensure your CV stands out from the competition, make sure to tailor it to your target role and pack it with sector-specific skills and results.
Remember to triple-check for spelling and grammar errors before hitting send.
Good luck with the job search!