Table of Contents

Data Science CV Template (Text Format)

WORK EXPERIENCE

Sparkle, York
Data Scientist, May 20XX–Present

  • Designed and implemented a data model for the HR department that increased employee retention by 60%
  • Use SPSS and MATLAB to collect and analyse data for data-driven insights
  • Developed a model for determining the most suitable pigment for any skin tone, depending on texture, ethnicity, and age

Coven Labs, Nottingham
Junior Data Scientist, November 20XX–April 20XX

  • Collected, organised, and preprocessed large sets of structured and unstructured data from several sources
  • Managed data cleaning and transformation to assist in building machine learning models
  • Applied knowledge of cloud infrastructure and ETL processes to improve data processing, resulting in a commendation by superiors

EDUCATION

University of Wolverhampton, 20XX–20XX
BSc (Hons) Data Science, upper second-class honours (2:1)

SKILLS

  • Expert leadership skills
  • Proficient in using statistical software (SPSS, MATLAB, Python, and Excel)
  • Data visualisation
  • Excellent communication skills
  • Machine learning methods
  • Big data

QUALIFICATIONS

  • IBM Data Science Professional Certificate
  • Microsoft Certified: Azure Data Scientist Associate
  • Google Advanced Data Analytics Certificate
  • Tableau Desktop Specialist

How to write a data science CV

A good example of a CV.
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Data scientists analyse data to solve problems. So, to land a job in this field, begin by using your problem-solving skills to write an outstanding CV.

A well-crafted data science CV showcases your industry-specific skills, experience, and accomplishments to convince employers that you’re the most suitable candidate.

Here are two tips for creating a job-winning CV that lands you more data science interviews:

1. Add programming languages and software to your skills

Data scientists help inform business decisions by identifying trends and patterns in large amounts of data. Employers look to hire the best candidates with relevant hard skills and soft skills for this role. So you should add these skills to your CV.

Hard skills, which are abilities learned through practice and education, show your ability to deliver results in the workplace. For instance, your expert knowledge of programming languages like Python and R is valuable in data cleaning and manipulation, and analysis.

Or if you’re an expert in regression analysis, you should mention it on your CV to show you can establish a relationship between two data points to predict a company’s sales and understand supply and demand.

Other essential hard skills to include in your data science CV to demonstrate your expertise in the field include:

Even though data science mainly requires technical skills, you’ll also need some soft skills to perform your duties properly in the field. Soft skills are personal attributes that show your ability to interact effectively and harmoniously with others in the workplace.

For instance, curiosity will help you go beyond initial assumptions to discover solutions to problems and deliver higher-quality insights from data sets.

Here are more soft skills to add to your data science CV to stand out from other candidates:

Ensure you mention these skills in the personal statement, work experience, and key skills sections on your CV. But avoid stuffing too many skills in one section by including only those relevant to the data science job posting.

Using a CV template can help you showcase your skills and get a hiring manager’s attention.

2. Use metrics to prove your ability as a data scientist

Your data science CV’s work experience section should feature data to emphasise your measurable impact on profits and percentages. Quantifying your experience shows your verifiable accomplishments and contributions, highlighting the value you’ll bring to your target company.

Here’s how a data science job candidate used hard numbers to show their achievements in their CV’s work experience section:

 

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Samuel Johns
Written by

Samuel Johns

Samuel Johns is a Certified Professional Resume Writer (CPRW) and Senior Editor on the CV Genius team, with 7+ years of experience in the careers space. He has helped countless job hunters craft high-quality CVs and cover letters, exceed expectations at interviews, and obtain their dream jobs. Born and raised in County Durham in the beautiful North East, he graduated with a BA (Hons) in French Language and Literature from the University of Bristol in 2013 and has worked in Newcastle-upon-Tyne, London, Paris, and Taipei as a French–English translator. He’s determined to use his native English and fluent French skills to help UK and French candidates get the jobs they deserve. In addition to the British and French versions of CV Genius, Samuel’s job-hunt advice has been published on numerous websites, including Careers.org, the University of Warwick, the Enterprisers Project, and HR.com. If you’d like to collaborate, please reach out to Samuel through LinkedIn. Please note, we don’t accept guest posts and won’t reply to such requests.