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Data Scientist II

NCR Atleos Open
Belgrade Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at NCR Atleos. Belgrade · full-time.

Pay not stated Data Scientist salary

RoleData Science
SeniorityMid-level
LocationBelgrade
EmploymentFull-time
PostedSep 29, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and put analytics, machine learning, and AI tools into use to address business problems and deliver measurable results
  • Explore complex datasets for patterns and opportunities, then apply statistical, predictive, or optimization methods to guide decisions
  • Create and upkeep business measures, KPI dashboards, and analytical data products for stakeholders
  • Turn business and technical team needs into scalable data solutions, including cloud-based data models and reporting
  • Check analytical outputs for accuracy and explain findings through reports, dashboards, and presentations

What you bring

  • A bachelor’s or master’s degree in a quantitative discipline such as data science, statistics, or another listed field
  • Hands-on ability with Python, SQL, Azure Cloud, Microsoft Fabric, Power BI, and GitHub
  • Experience using statistics, machine learning, or optimization to solve practical business problems
  • Experience developing dashboards and visual reports, plus strong English communication and cross-team collaboration skills

Who this fits

This mid-level role is based in Belgrade and follows a hybrid schedule. It suits someone who can work across business and technical teams and explain analytical recommendations clearly. Employment depends on passing the screening criteria for the role.

From the employer

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.

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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.