Junior Data Scientist CV example

Embarking on your data science career journey as a junior data scientist requires a standout CV that showcases your analytical prowess and potential.

We’ve crafted this guide to help you navigate the nuances of CV writing, ensuring you highlight your skills and experiences effectively.

Below, find a Junior Data Scientist CV example that will serve as your blueprint to success.

 

 

 

Junior Data Scientist CV example

Junior Data Scientist CV 1

 

This is a good example of a Junior Data Scientist CV which contains all of the information that a hiring manager will need to be impressed, and presents it in a well- structured, easy-to-read format.

Take some time to study and understand this CV, and refer to it throughout the writing of your own CV for best results.

 

CV builder

 

Junior Data Scientist CV format and structure

Hiring managers and recruiters are frequently overloaded with applications, and if they can’t identify the relevant information in your CV within a few seconds, your application may be overlooked.

To avoid this, it’s essential to format and structure your CV in a manner that makes it simple to pick out the most important information, even if the reader is in a rush.

 

How to write a CV

 

Tips for formatting your Junior Data Scientist CV

  • Length: While there’s no ‘official’ CV length rule, the majority of recruiters agree that less is more. Aim for two pages of A4 or less. This is just enough room to showcase your suitability to the role, without overwhelming recruiters with irrelevant or excessive content.
  • Readability: By clearly formatting your section headings (bold, or a different colour font, do the trick) and breaking up big chunks of text into snappy bullet points, time-strapped recruiters will be able to skim through your CV with ease.
  • 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: Profile photos or aren’t a requirement for most industries, so you don’t need to add one in the UK – but if you do, just make sure it looks professional

 

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 our 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.

 

Junior 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: 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: Recruiters can spot a generic, mass-produced CV at a glance – and they certainly won’t be impressed! Before you write your profile (and CV as a whole), read through the job advert and make a list of any skills, knowledge and experience required. You should then incorporate your findings throughout your profile and the rest of your CV.
  • 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: “Determined team player who always gives 110%” might seem like a good way to fill up your CV profile, but generic phrases like this won’t land you an interview. Recruiters hear them time and time again and have no real reason to believe them. Instead, pack your profile with your hard skills and tangible achievements.

 

Example CV profile for Junior Data Scientist

Enthusiastic Junior Data Scientist with 1+ years of success in leveraging analytics and statistical modelling techniques to derive actionable insights that enhance performance and fan experience within spectator sports. Proficient in using version controls for collaborating on code projects. Ability to liaise with coaches to optimise training according to evidence-based findings.

 

What to include in your Junior 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 Junior 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 Junior 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

Next, you should create a bullet pointed list of your core skills, formatted into 2-3 columns.

Here, you should focus on including the most important skills or knowledge listed in the job advertisement.

This will instantly prove that you’re an ideal candidate, even if a recruiter only has time to briefly scan your CV.

 

Core skills section CV

 

Important skills for your Junior Data Scientist CV

Statistical Analysis – Applying statistical techniques to interpret data, identify trends, and support evidence-based decision-making in various business contexts.

Python Programming – Writing and debugging Python code for data manipulation, analysis, and visualisation tasks.

Machine Learning Implementation – Designing and deploying machine learning models to uncover insights, predict outcomes, and automate data-driven processes.

Database Management – Utilising SQL to create, manage, and query relational databases for efficient data storage and retrieval.

Data Visualisation – Crafting clear and compelling visualisations using tools such as Tableau or Power BI to communicate complex data findings to non-technical audiences.

Big Data Processing – Working with big data frameworks like Hadoop or Spark to process and analyse large, complex datasets at scale.

Data Cleaning – Preparing raw data for analysis by cleaning and structuring it, ensuring accuracy and consistency throughout datasets.

Algorithm Development – Creating algorithms to solve problems and perform calculations, optimising them for speed and scalability.

Deep Learning Techniques – Applying deep learning frameworks such as TensorFlow or PyTorch for tasks involving image and speech recognition, natural language processing, and more.

Cloud Computing – Leveraging cloud services like AWS, Google Cloud, or Azure for scalable data storage, processing, and machine learning capabilities.

 

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

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.

 

CV work experience order

 

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.

 

CV role descriptions

 

Outline

Provide a brief overview of the job as a whole, such as what the overriding purpose of your job was and what 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

Lastly, add impact by highlight 1-3 key achievements that you made within the role.

Struggling to think of an achievement? If it had a positive impact on your company, it counts.

For example, you might increased company profits, improved processes, or something simpler, such as going above and beyond to solve a customer’s problem.

 

Sample job description for Junior Data Scientist CV

Outline

Contribute to developing predictive models for an intelligence agency that applies core drivers in football, cricket, rugby, tennis, hockey, and netball to provide strategic patterns which unlock value for various clients.

Key Responsibilities

  • Utilise mathematical approaches and ML algorithms to analyse player performance, team tactics, and in-game decision-making and outcomes.
  • Develop predictive frameworks aimed at forecasting injuries, health indicators, results, and supporter engagement, behaviour, and preferences.
  • Track scoring efficiency, defensive/offensive capabilities, and contributions.
  • Implement personalised marketing plans and promotions concerning information from competitions and fanatics.

 

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

Although there should be mentions of your highest and most relevant qualifications earlier on in your CV, save your exhaustive list of qualifications for the bottom.

If you’re an experienced candidate, simply include the qualifications that are highly relevant to Junior Data Scientist roles.

However, less experienced candidates can provide a more thorough list of qualifications, including A-Levels and GCSEs.

You can also dedicate more space to your degree, discussing relevant exams, assignments and modules in more detail, if your target employers consider them to be important.

 

Hobbies and interests

The hobbies and interests CV section isn’t mandatory, so don’t worry if you’re out of room by this point.

However, if you have an interesting hobby, or an interest that could make you seem more suitable for the role, then certainly think about adding.

Be careful what you include though… Only consider hobbies that exhibit skills that are required for roles as a Junior Data Scientist, or transferable workplace skills.

There is never any need to tell employers that you like to watch TV and eat out.

 

CV builder

 

An interview-winning CV for a Junior 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!