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Data Scientist

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Who we are

At Matrix Booking, we are committed to making hybrid work better for everyone. Our office booking and visitor management software empowers hybrid teams to maximise their time in the office while helping organisations reduce their environmental footprints. Join us to work with smart people, great clients, and cutting-edge technology—all while making a positive difference for people and the planet.

When you join Matrix Booking, you become part of the employee ownership trust that owns the business. This gives everyone a stake in the company’s success and the freedom to make decisions based on what’s right for our people, customers, and the world, rather than being purely profit-focused.

The Role

We are looking for a skilled data scientist to join the team leveraging the Matrix Booking data for the benefit of our customers and internal stakeholders by developing data sets, dashboards and analysis, and providing actionable insights to drive business decisions. This role requires a blend of technical expertise, analytical thinking, and the ability to communicate findings effectively..

Key Responsibilities

  1. Data Analysis and Interpretation:

    • Analyze large and complex data sets to uncover patterns, trends, and insights.

    • Apply statistical techniques and machine learning algorithms to build predictive models.

    • Interpret and communicate findings to stakeholders to inform business decisions.

  2. Model Development and Deployment:

    • Develop, test, and deploy machine learning models to solve business problems.

    • Ensure the accuracy, robustness, and scalability of models in production environments.

    • Continuously monitor and refine models based on performance metrics and feedback.

  3. Data Management:

    • Work with data engineers to ensure the quality and integrity of data.

    • Perform data cleaning, preprocessing, and transformation to prepare data for analysis.

    • Develop and maintain data pipelines to support ongoing analysis and modeling.

  4. Collaboration and Communication:

    • Collaborate with cross-functional teams, including product, engineering, and marketing, to understand business requirements and objectives.

    • Present analysis results and insights in a clear and concise manner to both technical and non-technical audiences.

    • Provide recommendations based on data-driven insights to support strategic initiatives.

  5. Research and Innovation:

    • Stay updated with the latest developments in data science, machine learning, and artificial intelligence.

    • Experiment with new techniques, tools, and technologies to enhance analytical capabilities.

    • Contribute to the development and implementation of best practices in data science.

Mandatory Qualifications & Skills

  • AWS Quicksight

  • SQL

  • Python

Preferred Qualifications & Skills

  • AWS Athena, AWS DynamoDB

  • PostgreSQL

  • Tableau/PowerBI

  • AWS Certifications

What We Offer

  • A chance to work on impactful projects that benefit people and the environment.

  • An employee ownership trust structure that gives you a stake in the company’s success.

  • The opportunity to collaborate with a talented and passionate team.

  • Flexibility to work remotely with opportunities to meet with the team once a month

Benefits

  • 25 days annual leave plus bank holidays

  • Pension Scheme

  • Private Health Insurance

  • Cyclescheme

  • Enhanced Maternity and Paternity pay

  • Group Life Assurance (4x salary)

  • Income Protection Insurance

  • Flexible working

  • Training and Development

  • Winter flu vaccinations & Eyecare scheme

  • Octopus Money Scheme

  • Octopus EV car scheme

You will need to provide: 

  • proof that you have the right to work in the UK 

  • 2 x references 

Work Location: Remote, with co-working opportunities and bi-annual in-person company away days.

 

How to Apply

To apply for the Data Scientist position, please click the link below to send your application via email. Ensure that you attach your resume and cover letter. In your email, please include the following details:

  • Your Full Name

  • Your Phone Number

Apply for the Data Scientist position

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