Graduate Data Scientist Apply now

Graduate Data Scientist

Full-Time 20 £ / hour
Apply now
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At a Glance

  • Tasks: Join a team to build data products using Python and tackle real-world challenges.
  • Company: Work with a prestigious government organization making an impact in data science.
  • Benefits: Enjoy a hybrid work model and competitive pay of £20.47 per hour.
  • Why this job: Gain hands-on experience in data science while contributing to meaningful projects.
  • Qualifications: Must have programming skills in Python and knowledge of data science techniques.
  • Other info: SC Clearance is required; applicants must have lived in the UK for the last five years.

SC Cleared Graduate Data Scientist
20.47 per hour
INSIDE IR35
12 Month contract
Full Time – 37 hours per week
Hybrid – 2 to 3 days per week in either Newport, South Wales, Titchfield, Hampshire or Darlington.

My client are a large prestigious government organisation and are looking for an SC Cleared Graduate Data Scientist to come and join their team on an initial 12 month basis, paying a hourly rate of 20.47, inside IR35.

LIVE SC CLEARANCE IS HIGHLY DESIRABLE FOR THIS ROLE

Essential requirements of role:

  • Programming and build: You can write andtest, Python code to build data products for users. You can collaborate on code with other colleagues using version control and have an awareness of testing tools.
  • Data science innovation: You can identify efficient and effective ways to use data science to tackle business and organisational challenges, applying innovative techniques where relevant.
  • Applied maths, statistics, and scientific practices: You can apply mathematics and statistical methods to solve problems, conduct exploratory data analysis and hypothesis testing to draw conclusions about your work.
  • Data engineering and manipulation: You have an awareness of the different tools that can be used to build data products (e.g. cloud infrastructure or software), and use effective approaches for cleaning, storing, and manipulating data.

Successful candidates will be required to undergo SC Clearance, therefore applicants must of resided in the UK for a minimum of five out of the last five years, in order to undergo this level of security check

Graduate Data Scientist employer: Concept Resourcing

Joining our prestigious government organization as a Graduate Data Scientist offers you the chance to work in a dynamic and supportive environment that values innovation and collaboration. With a hybrid work model based in Newport, Titchfield, or Darlington, you will benefit from flexible working arrangements while contributing to meaningful projects that impact society. We prioritize employee growth through continuous learning opportunities and a culture that encourages creativity, making this an excellent place for aspiring data scientists to thrive.
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Contact Detail:

Concept Resourcing Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Graduate Data Scientist

✨Tip Number 1

Make sure you highlight any relevant experience with Python programming in your discussions. Being able to demonstrate your coding skills and familiarity with version control systems will set you apart from other candidates.

✨Tip Number 2

Familiarize yourself with the specific data science challenges faced by government organizations. Understanding their unique needs can help you propose innovative solutions during your interviews.

✨Tip Number 3

Since SC clearance is highly desirable, be prepared to discuss your residency in the UK over the past five years. Having this information ready will streamline the process and show your readiness for the role.

✨Tip Number 4

Brush up on your knowledge of data engineering tools and techniques. Being able to talk about how you would clean, store, and manipulate data effectively will demonstrate your technical competence.

We think you need these skills to ace Graduate Data Scientist

Python Programming
Version Control (e.g., Git)
Data Science Techniques
Exploratory Data Analysis
Hypothesis Testing
Mathematics and Statistics
Data Engineering
Data Manipulation
Cloud Infrastructure Awareness
Problem-Solving Skills
Collaboration Skills
Attention to Detail
SC Clearance Eligibility

Some tips for your application 🫡

Highlight Relevant Skills: Make sure to emphasize your programming skills, especially in Python, and any experience you have with version control and testing tools. Tailor your CV to showcase your data science innovation and applied mathematics capabilities.

Demonstrate Experience: Include specific examples of projects or tasks where you've successfully applied data science techniques to solve problems. This could be through internships, academic projects, or personal initiatives.

Address Security Clearance: Clearly state your eligibility for SC Clearance in your application. Mention your residency in the UK over the past five years to ensure compliance with the requirements.

Craft a Strong Cover Letter: Write a compelling cover letter that connects your background and skills to the job description. Explain why you're interested in this role and how you can contribute to the organization’s goals.

How to prepare for a job interview at Concept Resourcing

✨Showcase Your Programming Skills

Be prepared to discuss your experience with Python and any relevant projects you've worked on. Highlight your ability to write and test code, and mention any collaborative coding experiences using version control.

✨Demonstrate Data Science Innovation

Think of examples where you've applied innovative data science techniques to solve problems. Be ready to explain how you identified challenges and the effective methods you used to address them.

✨Highlight Your Statistical Knowledge

Discuss your understanding of applied mathematics and statistics. Prepare to talk about specific instances where you've conducted exploratory data analysis or hypothesis testing, and the conclusions you drew from your work.

✨Familiarize Yourself with Data Engineering Tools

Research the tools and technologies commonly used in data engineering and manipulation. Be ready to discuss your awareness of cloud infrastructure and software that can be utilized for building data products.

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