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Full time
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Data Scientist / Analyst

Caledonian MacBrayneGourock, Inverclyde🇬🇧United KingdomPosted 5 Aug 2026

Quick Overview

Salary
£55k - £60k/yr
Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

Data Scientist - REC000101643

Location: Hybrid, 3 days from home and 2 days from our beautiful Gourock office

Contract: Permanent, full-time Monday – Friday

Salary: £55k - £60k basic salary depending on skills and experience, plus benefits

Turn Data Into Insight. Insight Into Action.

The insight team uses robust analytics and research methodologies to deliver an industry-leading insight service into the business, making recommendations, driving strategies, and facilitating confident 'data-led' decision-making at all levels.


Are you passionate about unlocking the stories hidden within data? Do you enjoy solving complex business challenges using analytics, machine learning and customer insights? If so, we'd love to hear from you.

We're looking for a talented Data Scientist to join our team and play a key role in optimising our operations, shaping customer experiences, driving revenue growth, and enabling data-driven decision-making across the business.


What You'll Be Doing


As a Data Scientist, you'll work with large and complex datasets to uncover trends and performance insights, understand customer behaviour, and deliver actionable insights that create measurable business value.

Your responsibilities will include:


  • Mine and analyse large customer, transactional and operational datasets to uncover trends, behaviours and opportunities.
  • Deliver actionable insights that support strategic decision-making and improve business performance.
  • Partner with Marketing and Customer Experience teams to develop customer segmentation models and targeted engagement strategies.
  • Measure and evaluate the impact of data-led initiatives on customer experience and revenue growth.
  • Develop data products and self-service insight solutions that enable data-driven decision-making across the business.
  • Analyse customer, sentiment and operational data to identify key drivers of performance.
  • ·Apply data science and machine learning techniques to support forecasting, optimisation and automation opportunities.


What We're Looking For


Essential Skills & Experience

  • Strong Data Science capability with hands-on experience using Python for analysis.
  • Sound understanding of Machine Learning concepts and their practical business applications.
  • Advanced SQL skills with the ability to query and manipulate large datasets efficiently.
  • Experience analysing customer and operational data to generate actionable insights.
  • Strong problem-solving skills with the ability to communicate complex findings to non-technical audiences.
  • A collaborative mindset and experience working with stakeholders across multiple business functions.


Why join CalMac?


This is an exciting time of positive change for CalMac! As one of Scotland’s biggest employers and being awarded a 10 year CHFS3 contract, we have long term stability and investment to continue to deliver essential services to Scotland’s communities.


This is an opportunity to make a genuine impact by transforming data into meaningful business outcomes. You'll work alongside talented colleagues, influence strategic decisions, and help shape how data is used to enhance customer experience and drive growth.


If you're excited by the prospect of turning data into powerful business insight, we'd love to hear from you. If this sounds like the right opportunity for you, then what are you waiting for?


Apply today and one of the team will be in touch!


Package

• Competitive salary • Very generous pension• Agile /Hybrid Working • Excellent training, development, and career progression • 37 days annual leave (pro-rata) • Staff travel pass for yourself, spouse/partner, and dependents


Please note, we may close this vacancy early for external applicants if we receive the required quality or quantity of applications. No agencies please


Please note, due to annual leave interviews will not be until September

Skills

SQL
Machine Learning
Agile
Python

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