Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deliver AI/ML solutions that drive business outcomes.
- Company: Major international financial services firm with a global presence.
- Benefits: Competitive daily rate, hands-on experience, and mentorship opportunities.
- Why this job: Make an impact in the exciting world of AI and machine learning.
- Qualifications: Strong Data Science and Machine Learning experience required.
- Other info: Onsite role with excellent career growth potential.
The predicted salary is between 66000 - 88000 £ per year.
We are seeking a Data Science Practitioner to join a major international financial services firm. This organisation operates across multiple regions, providing solutions to both individual and corporate clients. You will design and deliver AI and machine learning solutions that drive measurable business outcomes, while working closely with onsite teams and supporting technical decision-making. This role requires strong hands-on capability and the confidence to influence technical decisions and support wider teams.
Key Responsibilities
- Design, develop, and deploy AI/ML models for business decision-making
- Translate complex data into actionable insights
- Evaluate and measure the value and performance of AI/ML solutions
- Collaborate with cross-functional teams to integrate models into live systems
- Stay current with emerging AI/ML trends and technologies
- Support and mentor team members where required
Key Skills & Experience
- Strong experience in Data Science and Machine Learning
- Experience with Java and automated testing approaches (TDD/BDD)
- Exposure to Kubernetes, Terraform, and Oracle databases
- Experience with cloud-based ML platforms (e.g., SageMaker)
- Desirable: Databricks, Data Lakes, or applied AI use cases
Data Scientist in Glasgow employer: Paritas Recruitment
Contact Detail:
Paritas Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. 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 AI and machine learning projects. This is your chance to demonstrate your hands-on capabilities and how you can translate complex data into actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Java, cloud-based ML platforms, and how you've collaborated with cross-functional teams in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by hiring managers who are looking for talent like yours.
We think you need these skills to ace Data Scientist in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with AI and machine learning, and don’t forget to mention any relevant projects or technologies you've worked with, like Java or cloud-based ML platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention how your skills align with the responsibilities listed in the job description and show your enthusiasm for working with us at StudySmarter.
Showcase Your Projects: If you’ve got any cool projects or case studies, make sure to include them! We love seeing practical examples of your work, especially if they involve AI/ML solutions that have driven business outcomes.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Paritas Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss your experience with AI/ML models, and have examples of how you've translated complex data into actionable insights. This will show that you can hit the ground running!
✨Show Off Your Technical Skills
Since the role requires strong hands-on capability, be prepared to talk about your experience with Java, automated testing approaches, and cloud-based ML platforms like SageMaker. If you’ve worked with Kubernetes or Terraform, make sure to highlight that too!
✨Collaborate Like a Pro
This position involves working closely with cross-functional teams, so be ready to share examples of how you've successfully collaborated in the past. Discuss how you’ve integrated models into live systems and supported technical decision-making.
✨Stay Ahead of the Trends
The field of AI/ML is always evolving, so demonstrate your passion for staying current with emerging trends and technologies. Mention any recent developments you've been following or any new skills you're looking to acquire, as this shows your commitment to continuous learning.
