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Data Scientist Graduate

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Compare the Market

1mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    IT & Cybersecurity
  • Peterborough

AI generated summary

  • You should have a STEM degree (2:1+), be proficient in Python and statistics, have strong analytical and communication skills, and be a collaborative team player.
  • You will collaborate with teams to gather data requirements, support analytics projects with machine learning, communicate findings clearly, share knowledge, and enhance team effectiveness.

Requirements

  • A graduate with a degree, preferably in a STEM related subject (2:1 or above)
  • Proficient in Python and statistics
  • A critical thinker with an analytical mindset, capable of approaching challenges creatively
  • Someone with a natural ability to communicate complex ideas effectively, with strong organisational and prioritisation skills
  • Highly collaborative and comfortable working across teams and functions

Responsibilities

  • Collaborating closely with key teams and stakeholders to gather requirements for analytics and data science initiatives.
  • Provide support in the delivery of analytics and data science projects, applying machine learning techniques to address complex challenges.
  • Ensure that findings and recommendations are effectively communicated through clear data storytelling, maximising their impact.
  • Actively contribute to knowledge sharing and idea generation within the wider team, fostering a collaborative and dynamic culture.
  • Work closely with the broader data team to leverage our full range of capabilities for maximum effectiveness.

FAQs

What is the start date for the Data Scientist Graduate position?

The start date for this position is September 2025.

What educational qualifications are required for this role?

You need to be a graduate with a degree, preferably in a STEM-related subject, with a 2:1 or above.

What programming languages should I be proficient in for this role?

You should be proficient in Python and have a strong understanding of statistics.

Is there any formal training involved in this position?

Yes, as part of this role, you will study the Level 7 Artificial Intelligence (AI) Data Specialist Apprenticeship, which will take approximately 18 months to complete.

What types of projects will I be working on as a Data Science Graduate?

You will support the delivery of analytics and data science projects, applying machine learning techniques to address complex challenges.

Will I have the opportunity to collaborate with other teams?

Yes, you will collaborate closely with key teams and stakeholders to gather requirements for analytics and data science initiatives.

How is the company culture described?

The company culture is described as creative, inclusive, collaborative, and supportive, where employees can bring their authentic selves to work.

What tools and technologies will I be using in this role?

You will be using the latest tools and technologies such as Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .Net Core, Node.js, and MongoDB.

Is there an assessment process involved in the recruitment?

Yes, there will be an Assessment Centre at the end of January as part of the recruitment process.

What benefits does the company offer?

The company offers a competitive salary, hybrid working, a generous holiday allowance, private healthcare, electric car schemes, and paid days supporting your community through their CSR programme among other benefits.

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Compare the Market

We exist to make great financial decision-making a breeze for everyone.

Technology
Industry
501-1000
Employees
2006
Founded Year

Mission & Purpose

Compare the Market is one of the UK's best loved and most recognised brands. Our purpose is to make great financial decision-making a breeze for everyone; simple for the perplexed, quick for the hassled, funny for the bored, and confident for the nervous and unsure. We think good things happen for our customers when they meerkat, but we also think this is true for our colleagues. We believe in looking after our people and developing talent. We think that making life enjoyable in and out of work helps us to be the best we can be. We therefore give our people all kinds of extra benefits, whether that’s professional training, healthcare or life insurance, family fun days, monthly prize draws and a whole lot more.