Entry Level Data Scientist CV example

As a budding Data Scientist, your CV should quantify your academic achievements and any practical data projects.

Our guide, complemented by an Entry-level Data Scientist CV example, will help you model a profile that predicts success in your job search.

 

 

 

Entry Level Data Scientist CV example

Entry Level Data Scientist CV 1

 

This is a good example of a Entry Level Data Scientist CV which is professionally formatted, and structured in a way that allows recruiters to easily find and understand the candidate’s key selling points.

Take some time to look at this CV and refer to it throughout the writing of your own CV for best results.

 

CV builder

 

Entry Level Data Scientist CV format and structure

Your CV is the first impression you’ll make on anybody who reads it.

A disorganised, cluttered and barely-readable CV could seriously decrease your chances of landing interviews, so it’s essential to make sure yours is slick, professional and easy to navigate.

You can do this by using a clear structure and formatting your content with some savvy formatting techniques – check them out below:

 

How to write a CV

 

Tips for formatting your Entry Level Data Scientist CV

  • Length: Your CV should always be limited to two sides of A4, regardless of whether you have a year or three decades of experience. With recruiters juggling multiple responsibilities, they don’t have time to sift through lengthy applications.
  • Readability: Make sure your CV is easy to read and looks professional by applying some simple formatting tricks. Bullet points are great for making large paragraphs more digestible, while formatting your headings with bold or coloured text will help the reader to find the information they need, with speed.
  • Design & format: Your CV needs to look professional, sleek and easy to read. A subtle colour palette, clear font and simple design are generally best for this, as fancy designs are often harder to navigate.
  • Photos: You can add a profile photo to your CV, if you want to add some personality to it, but they are not a requirement the UK, so you don’t have to.

 

Quick tip: Creating a professional CV style can be difficult and time-consuming when using Microsoft Word or Google Docs. To create a winning CV quickly, try our quick-and-easy CV Builder and use one of their eye-catching professional CV templates.

 

CV formatting tips

 

 

CV structure

Divide your CV into the following major sections when writing it:

  • Name and contact details – Head your CV with your name and contact details, to let the reader know who you are and how to contact you.
  • CV profile – A brief paragraph which summarises your skills and experience and highlights why you’re a good match for the role.
  • Core skills list – A snappy, bullet-pointed list of your most relevant skills.
  • Work experience – A structured list of your work experience in reverse chronological order.
  • Education – A summary of any relevant qualifications or professional training you’ve completed.
  • Hobbies and interests – An optional section, which should only be used if your hobbies are relevant to the jobs you’re applying to.

 

Now you understand the basic layout of a CV, here’s what you should include in each section of yours.

 

Contact Details

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.

 

Entry Level Data Scientist CV Profile

Make a strong first impression with recruiters by starting your CV with an impactful profile (or personal statement for junior applicants).

This short introduction paragraph should summarise your skills, experience, and knowledge, highlighting your suitability for the job.

It should be compelling enough to encourage recruiters to read through the rest of your CV.

 

CV profile

 

How to write a good CV profile:

  • Make it short and sharp: Aim for a short, snappy paragraph of 3-5 lines. This is just enough room to showcase why you’d make the perfect hire, without going into excessive detail and overwhelming busy recruiters.
  • Tailor it: Before writing your CV, make sure to do some research. Figure out exactly what your desired employers are looking for and make sure that you are making those requirements prominent in your CV profile, and throughout.
  • Don’t add an objective: You only have a small space for your CV profile, so avoid writing down your career goals or objectives. If you think these will help your application, incorporate them into your cover letter instead.
  • Avoid generic phrases: Focus on fact, not fluff. Phrases like “Committed and enthusiastic thought-leader” and “Dynamic problem solver” might sound fancy, but they’ll do nothing for your application. Not only do they sound cheesy, but they have no substance – stick to real skills and facts

 

Example CV profile for Entry Level Data Scientist

Highly capable Data Science graduate with internship experience, seeking an entry-level role in data capture system development. Proficient in machine learning, data analysis, and predictive modelling supported by extensive knowledge of Python, R and SQL programming languages.

 

What to include in your Entry Level Data Scientist CV profile?

  • Experience overview: Start with a brief summary of your relevant experience so far. How many years experience do you have? What type of companies have you worked for? What industries/sectors have you worked in? What are your specialisms?
  • Targeted skills: Highlight your skills which are most relevant to Entry Level Data Scientist jobs, to ensure that recruiters see your most in-demand skills as soon as they open your CV.
  • Important qualifications: If you have any qualifications which are highly relevant to Entry Level Data Scientist jobs, then highlight them in your profile so that employers do not miss them.

 

Quick tip: If you are finding it difficult to write an attention-grabbing CV profile, choose from hundreds of pre-written profiles across all industries, and add one to your CV with one click in our quick-and-easy CV Builder. All profiles are written by recruitment experts and easily tailored to suit your unique skillset.

 

Core skills section

To ensure that your most relevant skills catch the eye of readers, create a core skills section below your profile.

This section should be presented in 2-3 columns of bullet points highlighting your applicable skills. Before crafting this section, carefully examine the job description and create a list of any required skills, specialisms, or knowledge.

Use this list to include the necessary information in your section and present yourself as the ideal match for the position.

 

Core skills section CV

 

Important skills for your Entry Level Data Scientist CV

Data Analysis Proficiency – Practiced in analysing large datasets, extracting valuable insights, and identifying trends to inform data-driven decision-making.

Machine Learning Application – Capable of applying machine learning algorithms to solve complex problems, optimise processes, and enhance predictive modelling.

Statistical Modelling – Experienced in statistical modelling techniques, employing methods such as regression analysis and hypothesis testing for robust data interpretation.

Data Visualisation Mastery – Accomplished in creating visually compelling data visualisations, utilising tools like Tableau or Matplotlib to communicate findings effectively.

Python Programming Competence – Competent in utilising Python programming for data manipulation, analysis, and implementation of machine learning algorithms.

SQL Database Querying – Fluency in querying relational databases using SQL, ensuring efficient extraction and manipulation of data for analytical purposes.

Natural Language Processing (NLP) Understanding – Familiar with natural language processing techniques, applying them to extract meaningful information from unstructured text data.

Big Data Technologies – Knowledgeable about big data technologies such as Apache Spark or Hadoop, facilitating the processing of large-scale datasets.

Cloud Computing Integration – Proficient in integrating data science solutions with cloud computing platforms like AWS or Azure for scalable and efficient operations.

Experimental Design Capability – Well-versed in designing and conducting experiments, ensuring controlled testing conditions and valid results in data science projects.

 

Quick tip: Our quick-and-easy CV Builder has thousands of in-demand skills for all industries and professions, that can be added to your CV in seconds – This will save you time and ensure you get noticed by recruiters.

 

CV builder

 

Work experience

By now, you’ll have hooked the reader’s attention and need to show them how you apply your skills and knowledge in the workplace, to benefit your employers.

So, starting with your most recent role and working backwards to your older roles, create a thorough summary of your career history to date.

If you’ve held several roles and are struggling for space, cut down the descriptions for your oldest jobs.

 
Work experience
 

Structuring each job

Lengthy, unbroken chunks of text is a recruiters worst nightmare, but your work experience section can easily end up looking like that if you are not careful.

To avoid this, use my tried-and-tested 3-step structure, as illustrated below:

 
Role descriptions
 

Outline

Start with a brief summary of your role as a whole, as well as the type of company you worked for.

 

Key responsibilities

Use bullet points to detail the key responsibilities of your role, highlighting hard skills, software and knowledge wherever you can.

Keep them short and sharp to make them easily digestible by readers.

 

Key achievements

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.

 

Sample job description for an Entry Level Data Scientist CV

Outline

Completed a 3-month summer internship working at a leading research centre specialising in the development and implementation of data capture systems.

Key Responsibilities

  • Developed and maintained SQL databases for data storage and retrieval
  • Worked as part of a team to develop predictive models using Python
  • Shadowed senior data scientists and contributed to research projects
  • Conducted exploratory data analysis to identify trends and insights

 

Quick tip: Create impressive job descriptions easily in our quick-and-easy CV Builder by adding pre-written job phrases for every industry and career stage.

 

 

Education section

In your education section, make any degrees, qualifications or training which are relevant to Entry Level Data Scientist 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.

 

Hobbies and interests

Although this is an optional section, it can be useful if your hobbies and interests will add further depth to your CV.

Interests which are related to the sector you are applying to, or which show transferable skills like leadership or teamwork, can worth listing.

On the other hand, generic hobbies like “going out with friends” won’t add any value to your application, so are best left off your CV.

 

CV builder

 

Creating a strong Entry Level Data Scientist CV requires a blend of punchy content, considered structure and format, and heavy tailoring.

By creating a punchy profile and core skills list, you’ll be able to hook recruiter’s attention and ensure your CV gets read.

Remember that research and relevance is the key to a good CV, so research your target roles before you start writing and pack your CV with relevant skills.

Best of luck with your next application!