- Location
- Belgrade (K2 Campus) Office, Serbia
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Education
- Source
- Workday
Description
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. NCR Atleos was ranked #12 in Newsweek’s prestigious 2025 Top 100 Global Most Loved Workplaces® list.
Data Scientist II
Belgrade, Serbia - hybrid
Key Responsibilities:
- Develop and deploy analytics, machine learning, and AI solutions to solve business challenges and drive measurable business value.
- Analyze large and complex datasets to identify trends, opportunities, and actionable insights.
- Apply statistical, predictive, and optimization techniques to improve operational performance and support decision-making.
- Design and maintain business metrics, KPIs, dashboards, and analytical data products used by stakeholders across the company.
- Collaborate with business and technical teams to translate requirements into scalable data-driven solutions.
- Build and enhance analytical datasets, data models, and reporting solutions using modern cloud technologies.
- Communicate insights and recommendations through reports, dashboards, and presentations.
- Ensure data quality, accuracy, and reliability across analytical and reporting solutions.
- Stay current with emerging trends and technologies in data science, analytics, AI, and cloud platforms.
Qualifications:
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Operations Research, or a related quantitative field.
- Experience with Python, SQL, Azure Cloud, Microsoft Fabric, Power BI, and GitHub.
- Experience applying statistical analysis, machine learning, and optimization methods to real-world business problems.
- Experience building dashboards, reports, and data visualizations using Power BI or similar visualization tools.
- Ability to translate business requirements into data-driven solutions.
- Excellent problem-solving skills and attention to detail.
- Strong communication and stakeholder management skills.
- Experience working in cross-functional teams.
- Strong written and verbal English communication skills.
Preferred Qualifications:
- Experience with optimization, forecasting, or predictive analytics.
- Experience with AI and Generative AI solutions.
- Experience deploying analytics or machine learning solutions in a cloud environment.
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Offers of employment are conditional upon passage of screening criteria applicable to the job.
Company Benefits:
Private Health Insurance
Employee Referral Bonus Program
Wellbeing Resources
Baby Bonus
Life, Accident & Disability Insurance
Numerous opportunities for internal career pathing and advancement
Discounts for employees at NCR Atleos partners
EEO Statement
NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.
By applying to NCR Atleos jobs, you acknowledge that the terms of the NCR Atleos Applicant Privacy Notice (Applicant Privacy Policy | NCR Atleos) will govern the collection and use of your Personal Data. This notice supplements NCR Atleos Privacy Policy, which is available at www.ncratleos.com/privacy
Statement to Third Party Agencies
To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.