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- Tasks: Develop predictive models and analyse large datasets to enhance customer experiences.
- Company: NCR Atleos, a global leader in financial self-service solutions.
- Benefits: Competitive salary, structured development, and a diverse work culture.
- Why this job: Join an innovative team and make a real impact in the financial sector.
- Qualifications: Recent graduate in Data Science or related field with programming skills.
- Other info: Opportunities for global collaboration and career progression.
The predicted salary is between 28800 - 48000 £ per year.
About NCR Atleos
NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.
Our Dundee R&D centre is a hub for innovation, where data-driven insights power smarter services and better customer experiences across banking and retail sectors.
Your Role
As a Graduate Data Scientist, you will join our Smart Services Engineering team, contributing to the development of intelligent systems that optimize ATM performance, predict failures, and enhance customer satisfaction. You will work with large datasets, machine learning models, and advanced analytics to solve real-world problems.
Key Responsibilities
- Develop and deploy predictive models using machine learning and statistical techniques.
- Clean, process, and analyse large datasets from diverse sources.
- Collaborate with software engineers and product teams to integrate data solutions.
- Create dashboards and visualizations to communicate insights.
- Support continuous improvement of data pipelines and model performance.
Who You Are
- A recent or upcoming graduate (2025/2026) with a degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
- Proficient in Python, R, or similar programming languages.
- Familiar with machine learning frameworks (e.g., scikit-learn, TensorFlow).
- Comfortable working with SQL and cloud-based data platforms.
- Strong analytical mindset and problem-solving skills.
Preferred (but not essential) Skills
- Experience with time-series analysis or anomaly detection.
- Knowledge of data visualization tools (e.g., Power BI, Tableau).
- Exposure to DevOps or MLOps practices.
What We Offer
- Competitive salary and benefits
- Structured development and mentoring
- Inclusive and diverse work culture
- Opportunities for global collaboration and career progression
How to Apply
Applications open in late 2025. Visit NCR Atleos Careers for updates and application details.
Territory Sales Manager/Business Development Representative II in Dundee employer: NCR Atleos Corporation
Contact Detail:
NCR Atleos Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Territory Sales Manager/Business Development Representative II in Dundee
✨Tip Number 1
Network like a pro! Reach out to current employees at NCR Atleos on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing a role. Personal connections can make all the difference!
✨Tip Number 2
Prepare for interviews by practising common questions related to data science and machine learning. We recommend doing mock interviews with friends or using online platforms. The more you practise, the more confident you'll feel when it’s your turn to shine!
✨Tip Number 3
Showcase your skills! Create a portfolio of projects that highlight your experience with Python, R, and machine learning frameworks. This will not only impress recruiters but also give you something tangible to discuss during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on updates about openings and events where you can connect with the team at NCR Atleos.
We think you need these skills to ace Territory Sales Manager/Business Development Representative II in Dundee
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your proficiency in Python, R, and any machine learning frameworks you've used. We want to see how you can contribute to our Smart Services Engineering team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background aligns with our mission at NCR Atleos. Be genuine and let your personality come through!
Showcase Your Projects: If you've worked on relevant projects, whether during your studies or independently, make sure to include them. We love seeing practical applications of your skills, especially if they involve predictive models or data visualisations!
Apply Through Our Website: When you're ready to apply, head over to the NCR Atleos Careers page. It's the best way to ensure your application gets to us directly. Plus, you'll find all the latest updates and details about the application process there!
How to prepare for a job interview at NCR Atleos Corporation
✨Know Your Data
Make sure you brush up on your knowledge of data science concepts, especially those related to machine learning and statistical techniques. Be prepared to discuss how you've applied these in your studies or projects, as this will show your practical understanding.
✨Showcase Your Programming Skills
Since proficiency in Python, R, or similar languages is key, be ready to talk about specific projects where you've used these tools. If possible, bring examples of your code or visualisations to demonstrate your skills in action.
✨Understand the Company’s Mission
Familiarise yourself with NCR Atleos and its focus on financial self-service solutions. Being able to articulate how your skills can contribute to their mission will set you apart and show that you're genuinely interested in the role.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical mindset and problem-solving abilities. Practice explaining your thought process when tackling data-related challenges, as this will highlight your critical thinking skills to the interviewers.
