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Data Scientist

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  • Job
    Full-time
    Mid & Senior Level
  • London

Requirements

  • What we’d like to see from you:
  • A passion and motivation for using Data Science to solve real world customer problems
  • Demonstrable experience in end-to-end AI / machine learning model development
  • Strong proficiency in Python & SQL
  • Outcome focused
  • Naturally curious and self-motivated learner
  • Effective communicator with an understanding for both the power and limits of data

Responsibilities

  • Work with key stakeholders to convert business problems into a data science framework / solution (e.g. Marketing, Product, UX/CX)
  • Manage the scoping and delivery of data science projects (including requirements, feasibility, timelines)
  • Partner with ML Engineers to ensure that all models are put into production and deliver clear impact to the business
  • Communicate technical output and results to a non-technical audience in an engaging and impactful way - you will present your findings to senior management to drive the decision-making process

FAQs

What is the primary role of a Data Scientist in your organization?

The primary role of a Data Scientist is to identify and develop new applications of data science and AI across the business, enhance existing data science products, and deliver data science initiatives that improve customer propositions.

What skills or experiences are particularly important for this role?

Important skills include strong proficiency in Python and SQL, experience in end-to-end AI/machine learning model development, effective communication skills, and a passion for solving real-world customer problems.

Is collaboration a significant aspect of the Data Scientist role?

Yes, this role is highly collaborative, offering opportunities to work with various teams including Marketing, Product, and UX/CX to identify and develop data science use cases.

What is the company's approach to diversity and inclusion?

The company embraces a culture of inclusion, encouraging colleagues to bring their authentic selves to work and welcoming individuals with diverse skills, experiences, and ideas.

What kind of projects will the Data Scientist be involved in?

The Data Scientist will manage the scoping and delivery of data science projects, work on converting business problems into data science frameworks, and partner with ML Engineers to implement models into production.

How does the company support professional growth for its employees?

The company offers tools and autonomy for employees to drive their own careers, along with support from a talented team, and benefits such as paid development days.

Can you describe the company culture?

The company has a culture of creativity, passion, constant improvement, and celebration of wins, fostering an environment where everyone is empowered to contribute their ideas.

What type of communication will be required in this role?

The Data Scientist will need to communicate technical outputs and results to a non-technical audience in an engaging and impactful way, including presenting findings to senior management.

Do you offer any benefits for employees?

Yes, the benefits include a competitive salary, hybrid working options, a generous holiday allowance, private healthcare, an electric car scheme, and paid development, wellbeing, and CSR days.

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.