Ensure your CV layout is structured to best highlight your unique experience and life situation.

Data Science CV Template (Text Format)


Google and IBM certified Data Scientist with 8+ years of experience in driving quantifiable business growth and revenue for prestigious organisations in the retail and e-commerce sectors. Proficient in MATLAB, R, Python, Java, and SQL. Possess theoretical and applied knowledge of statistical analysis and deep learning. Adept at analysing large data sets to identify trends and patterns to inform business decisions. Seeking to leverage my data mining and visualisation expertise to help boost [Company Name]’s profits.


Marks & Spencer, London
Senior Data Scientist, October 2019–Present

  • Designed a machine learning model to predict customer’s future orders and recommend products based on their purchase habits, increasing sales by 75%
  • Train and supervise 5 interns yearly to create data models for improving QMS and data validation
  • Refined existing data extraction processes to save 6 work hours every week
  • Manipulate R, Python, C++, and SPSS to improve mathematical models and data analysis
  • Discovered frequently ordered unsuccessful stock that caused the company to lose profits and presented detailed findings to executives, resulting in saving the company £500,000 each year
  • Build and test algorithms and predictive models to improve data extraction and synthesis

Sparkle, York
Data Scientist, May 2016–September 2019

  • Designed and implemented a data model for the HR department that increased employee retention by 60%
  • Used 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
  • Improved the QMS to save processing time by 30%

Coven Labs, Nottingham
Junior Data Scientist, November 2014–April 2016

  • Collected, organized, 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
  • Collaborated with 3 colleagues by reviewing data and writing 20+ reports to provide key stakeholders with required improvements
  • Contributed to developing AI solutions for improved insights on customer habits, increasing client satisfaction by 40%


University of Wolverhampton, 2011–2014
BSc (Hons) Data Science, upper second-class honours (2:1)

  • Relevant Modules: Computational Mathematics, Multivariate Statistics with Cybermetrics, Introduction to Operational Research, Data Mining, Big Data
  • Dissertation Topic: The Organizational Impacts of Big Data

Coombe Dean School Academy, Plymouth, 2007-2011

  • A-levels: Maths (A), Computer Science (A), Economics (A)
  • GCSEs: 9 A–C including Maths, Physics, Combined Science, and Computer Science

Key Skills

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

Hobbies & Interests

  • Playing abstract strategy games like chess, checkers, and Onitama
  • Listening to music
  • Reading philosophy books

How to write your data science CV

Before you begin writing, make sure you know how to write a CV in a way that best emphasises your strengths.

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

1. Highlight your data science 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 knowledge and 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. Craft an eye-catching data science CV personal statement

Your target employers are probably busy sorting large data sets. As a result, they can’t carefully read each of the many job applications they receive. Ensure your job application is one of the few they read all the way through by writing an attention-grabbing CV personal statement.

A personal statement is a section at the top of your data science CV where you introduce yourself and your professional background. This paragraph should concisely summarise your skills and experiences in 3–5 sentences.

This section may seem tricky to write. But with the tips below, you can craft a compelling personal statement for your data science CV:

  • Mention your number of years of experience as a data scientist and summarise your relevant skills
  • State the statistical software and programming languages you’re most familiar with
  • Include any licenses, certifications, and degrees you hold
  • Describe your data science specialities
  • Indicate how you intend to apply your expertise to make an impact at your target company

Here’s an example of an impactful data science CV’s personal statement:

An image of a data science CV's personal statement that describes the applicant's technical skills and experience in five sentences written in grey text on a white background.
Customise your personal statement with data science keywords from the job advert.

3. Quantify your data science CV with hard numbers

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:

  • Designed and implemented a data model for the HR department that increased employee retention by 60%
  • Collaborated with 3 colleagues by reviewing data and writing 20+ reports to provide key stakeholders with required improvements
  • Discovered frequently ordered unsuccessful stock that caused the company to lose profits and presented detailed findings to executives, resulting in saving the company £500,000 each year

Employers in the data science industry will also want to see your cover letter — build a cover letter online to speed up the creation of this vital document.

Aaron Case
Written by

Aaron Case

Aaron Case is a CPRW & Senior CV Expert at CV Genius with 8+ years of experience in writing and career resource spaces. Job seekers around the world and in various stages of their vocational journeys have landed fulfilling work thanks to his thoughtful career advice, which has also been showcased in publications like Forbes, MSN, CareerAddict, Ladders, Best Colleges, Ivy Exec, Capitalism.com, and vidIQ. Aaron has a BS in English & Communications from Liberty University bolstered by a professional credential from UC Berkeley. He’s collected practical experience while following various career paths, and he enjoys sharing the resulting insights with everyone. You can contact him through his LinkedIn profile or on Twitter. Please note, we don’t accept guest posts, and all such requests will be ignored.