Graduate Data Scientist CV example

Are you a recent graduate looking to kick-start your career in data science?

If so, you need a standout CV that effectively highlights your new qualifications and the skills you gained along the way.

If you’re not sure how to get started, we’ll show you how to gather and use your own personal data to write a persuasive CV.

We’ve also created a graduate data science CV example to guide you.

 

 

 

Graduate Data Scientist CV example

Graduate Data Scientist CV 1

 

This CV example illustrates the ideal structure and format for your Graduate Data Scientist CV, making it easy for busy hiring managers to quickly identify your suitability for the jobs you’re applying for,

It also gives some guidance on the skills, experience and qualifications you should emphasise in your own CV.

 

CV builder

 

Graduate Data Scientist CV format and structure

If you focus purely on the written content of your CV but ignore the style and layout, your efforts could end up wasted.

No matter how suitable you are for the role, no recruiter wants to spend time squinting and trying to navigate a badly designed and disorganised CV.

Instead, make sure to organise your content into a simple structure and spend some time formatting it for ease of reading – it will ensure every recruiter and hiring manager can read your CV with ease.

 

How to write a CV

 

Tips for formatting your Graduate 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: Recruiters appreciate CVs that they can quickly scan through without trouble. Ensure yours makes the cut by formatting your headings for attention (bold or coloured fonts should do the trick) and breaking up long paragraphs into smaller chunks or short, snappy bullet points.
  • Design & format: While it’s okay to add your own spin to your CV, avoid overdoing the design. If you go for something elaborate, you might end up frustrating recruiters who, above anything, value simplicity and clarity.
  • Photos: Don’t add profile photos to your CV unless you work in an industry or region which prefers to see them. Most employers in the UK will not need to see one.

 

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

When writing your CV, it’s important to structure the content into the following key sections to ensure easy digestion by busy recruiters and hiring managers:

  • Contact details: List your contact details at the top of your CV to prevent them from being overlooked.
  • Profile: Begin with an introductory paragraph that captures recruiters’ attention and summarises what you have to offer employers.
  • Work experience/career history: List your relevant work experience in reverse chronological order, starting with your current position.
  • Education: Provide a brief summary of your education and qualifications.
  • Interests and hobbies: An optional section to showcase any hobbies that highlight transferable skills relevant to your target jobs.

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

 

Contact Details

Contact details

 

Tuck your contact details into the corner of your CV, so that they don’t take up too much space.
Stick to the basic details, such as:

  • Mobile number
  • Email address – It should sound professional, such as your full name.
  • Location -Just write your rough location, rather than your full address.
  • LinkedIn profile or portfolio URL – If you include these, ensure they’re sleek, professional and up-to-date.

 

Graduate Data Scientist CV Profile

To immediately capture the attention of recruiters, begin your CV with a powerful profile (or personal statement for junior applicants).

This is a brief introductory paragraph that summarises your skills, experience, and knowledge.

It should position you as the ideal candidate for the job and encourage recruiters to read on.

 

CV profile

 

How to write a good CV profile:

  • Make it short and sharp: It might be tempting to submit a page-long CV profile, but recruiters won’t have the time to read it. To ensure every word gets read, it’s best to include high-level information only; sticking to a length of 3-5 lines.
  • 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: Avoid discussing your career goals in your CV profile – if you think they’re necessary, briefly mention them in your cover letter instead.
  • Avoid generic phrases: Clichés like “blue-sky thinker with a go-getter attitude” might sound impressive to you, but they don’t actually tell the recruiter much about you. Concentrate on highlighting hard facts and skills, as recruiters are more likely to take these on board.

 

Example CV profile for Graduate Data Scientist

Highly skilled Graduate Data Scientist with professional experience in the financial services and data analytics industries. Strong foundation in machine learning, data analysis, and predictive modelling supported by extensive experience with Python, R and SQL. IBM-Certified Database Associate adept at identifying inefficiencies and producing conclusive reports. 

 

What to include in your Graduate Data Scientist CV profile?

  • Experience overview: Demonstrate your suitability for your target jobs by giving a high level summary of your previous work work experience, including the industries you have worked in, types of employer, and the type of roles you have previous experience of.
  • Targeted skills: Ensure that your profile highlights your key skills that are most relevant to your Graduate Data Scientist, and tailor them to match the specific job you are applying for. To do this, refer to the job description to closely align your skills with their requirements.
  • Important qualifications: Be sure to outline your relevant Graduate Data Scientist qualifications, so that anyone reading the CV can instantly see you are qualified for the jobs you are applying to.

 

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 Graduate Data Scientist CV

Programming Languages – Using programming languages like Python, R, or SQL for data analysis, modelling, and machine learning tasks.

Data Analysis – Completing data cleaning, exploration, and analysis using statistical techniques and data visualisation tools.

Machine Learning – Using knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, scikit-learn) for developing predictive models and algorithms.

Statistical Analysis – Using statistical methods and hypothesis testing to draw meaningful insights from data and make data-driven decisions.

Data Cleaning and Preprocessing – Cleaning and preprocessing raw data, handling missing values, and engineering features for modelling.

Data Visualisation – Creating data visualisations using tools like Matplotlib, Seaborn, or Tableau to communicate insights effectively.

Big Data Technologies – Using big data technologies such as Hadoop and Spark to handle and process large datasets.

Database Management – Managing and querying databases, including SQL and NoSQL databases, to extract and manipulate data.

Predictive Modelling – Developing predictive models for tasks like classification, regression, clustering, and recommendation systems.

Experimental Design – Using experimental design principles to plan and conduct experiments, A/B tests, and hypothesis testing for data-driven decision-making.

 

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

Next up is your work experience section, which is normally the longest part of your CV.

Start with your current (or most recent) job and work your way backwards through your experience.

Can’t fit all your roles? Allow more space for your recent career history and shorten down descriptions for your older roles.

 

CV work experience

 

Structuring each job

Your work experience section will be long, so it’s important to structure it in a way which helps recruiters to quickly and easily find the information they need.

Use the 3-step structure, shown in the below example, below to achieve this.

 

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

Follow with a snappy list of bullet points, detailing your daily duties and responsibilities.

Tailor it to the role you’re applying for by mentioning how you put the target employer’s desired hard skills and knowledge to use in this role.

 

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 Graduate Data Scientist CV

Outline

Completed a 3-month internship at a leading data analytics company, assisting with the development and implementation of data capture systems.

Key Responsibilities

  • Developed and maintained SQL databases for data storage and retrieval
  • Wrote SQL, managed data cloud software, and developed dashboards in Tableau
  • Conducted exploratory data analysis (EDA) to identify trends and insights
  • Shadowed senior data scientists and contributed to research projects

 

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

At the bottom of your CV is your full education section. You can list your formal academic qualifications, such as:

  • Degree
  • GCSE’s
  • A levels

As well as any specific Graduate Data Scientist qualifications that are essential to the jobs you are applying for. Note down the name of the qualification, the organisation at which you studied, and the date of completion.

 

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

 

An interview-winning CV for a Graduate Data Scientist role, needs to be both visually pleasing and packed with targeted content.

Whilst it needs to detail your experience, accomplishments and relevant skills, it also needs to be as clear and easy to read as possible.

Remember to research the role and review the job ad before applying, so you’re able to match yourself up to the requirements.

If you follow these guidelines and keep motivated in your job search, you should land an interview in no time.

Best of luck with your next application!