Marketing Data Scientist in Glasgow

Marketing Data Scientist in Glasgow

Glasgow Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Develop predictive models and generate insights to drive data-driven decisions.
  • Company: Dynamic data-driven organisation based in Glasgow with a hybrid working model.
  • Benefits: Enjoy bonuses, private healthcare, flexi-time, and a learning budget.
  • Other info: Collaborative environment with opportunities for professional growth and innovation.
  • Why this job: Join a team that leverages advanced analytics and machine learning for real business impact.
  • Qualifications: Degree in Data Science or related field, strong programming skills in Python or R.

The predicted salary is between 40000 - 50000 £ per year.

LOCATION- Glasgow (Hybrid)

TERM- Permanent

BENEFITS – Bonus, Pension, Private Healthcare, Hybrid Working, Flexi-time, Learning & Development Budget etc.

We are a data-driven organisation leveraging advanced analytics and machine learning to drive business insights and innovation. As part of our continued growth, we are looking to expand our analytics capability with the addition of a Data Scientist.

The Data Scientist will ideally have the following attributes:

  • Strong experience in data science, machine learning, or statistical analysis
  • A degree qualification (BSc, MSc, PhD etc.) in Data Science, Mathematics, Statistics, Computer Science or similar
  • Strong programming skills in Python or R
  • Experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch
  • Strong knowledge of statistics and data analysis techniques
  • Experience with SQL and working with databases
  • Experience with data visualisation tools such as Power BI, Tableau, or similar
  • A curious mindset with a passion for data and problem solving

The Data Scientist role will involve:

  • Developing and deploying machine learning and statistical models
  • Working with stakeholders to understand business problems and translate them into data solutions
  • Preparing and cleaning data for analysis and modelling
  • Collaborating with data engineers and analysts on data-driven projects

If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.

Marketing Data Scientist in Glasgow employer: Halian | Managed Services, Recruitment Agency & Contract Staffing

Join a forward-thinking organisation in Glasgow that champions a data-driven culture, offering a dynamic work environment with hybrid working options and flexible hours. We prioritise employee growth through a dedicated learning and development budget, alongside competitive benefits such as bonuses, private healthcare, and a pension scheme, making it an ideal place for passionate data professionals to thrive and innovate.
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Contact Detail:

Halian | Managed Services, Recruitment Agency & Contract Staffing Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Marketing Data Scientist in Glasgow

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning or predictive modelling. This will give potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when working with stakeholders.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Marketing Data Scientist in Glasgow

Data Science
Machine Learning
Statistical Analysis
Python
R
Scikit-learn
TensorFlow
PyTorch
Statistics
Data Analysis Techniques
SQL
Database Management
Data Visualisation
Power BI
Tableau

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess in Python or R!

Showcase Your Projects: Include any relevant projects or case studies that demonstrate your ability to develop predictive models and generate insights. We love seeing real-world applications of your skills, so let us know what you've worked on!

Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and qualifications.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we can’t wait to hear from you!

How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing

✨Know Your Data Science Stuff

Make sure you brush up on your data science fundamentals. Be ready to discuss your experience with machine learning, statistical analysis, and programming in Python or R. Prepare examples of projects where you've developed predictive models or used libraries like Scikit-learn or TensorFlow.

✨Show Off Your Problem-Solving Skills

During the interview, be prepared to talk about how you've tackled complex business problems using data. Think of specific instances where you translated stakeholder needs into data solutions. This will show that you can bridge the gap between data and business insights.

✨Get Familiar with Their Tools

Research the data visualisation tools and databases they use, like Power BI or SQL. If you have experience with these, highlight it! If not, mention your willingness to learn and adapt quickly. Showing that you're proactive about tool familiarity can set you apart.

✨Ask Insightful Questions

Prepare some thoughtful questions about their data-driven projects and team dynamics. This shows your curiosity and passion for data. Ask about their current challenges or how they measure success in their analytics initiatives. It’ll demonstrate your genuine interest in the role.

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