or apply directly on NICE's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 8 days NICE's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 1% of NICE's roles list one
- Ghost-job risk at NICE
- low 0 stale, 15 reposted of 188 open
- Hiring momentum
- 407 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from NICE's own greenhouse board since 2026-08-03. Full hiring picture for NICE.
About this role
The Data Scientist role at NiCE involves solving complex fraud-related problems using advanced analytics and machine learning. Day-to-day tasks include analyzing large datasets, building and optimizing predictive models for fraud detection, developing visualizations for stakeholders, and collaborating with cross-functional teams to deliver scalable analytical solutions. The position emphasizes continuous improvement and staying updated with advancements in data science and machine learning.
- benefits
- 1/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of NICE as an employer.
What you need
- 2 to 4 years of relevant Data Science experience
- Strong analytical, problem-solving, and communication skills
- Ability to explain complex analytical concepts to non-technical stakeholders
- Experience working in agile, multi-disciplinary teams
- Advanced degree in Statistics, Mathematics, Computer Science, Engineering, or related fields
- Strong knowledge of statistical techniques (regression, feature selection, time series, etc.)
Nice to have
- Experience in fraud analytics, financial crime, or risk management models
- Knowledge of financial systems and data standards
- Experience with containerized model development using Kubernetes
- Exposure to banking or financial services domain
What you get
- Hybrid work model with 2 days in office and 3 days remote
- Opportunities for internal career growth across multiple roles and locations
Worth weighing
- No salary listed
- Focus on fraud analytics may limit exposure to other data science applications
- Emphasis on collaboration may require strong interpersonal skills
Summarised from NICE's posting. Read the full original.
Listed by NICE on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
More roles at NICE
- Account Executive - EastUSA - Remote
- Public Safety Solutions EngineerUSA - Remote
- Team Lead, AI EngineeringUSA - Atlanta, GA; USA - Hoboken, NJ; USA - Sandy, UT
- Manager, Customer ServiceUSA - Richardson, TX
- Senior Account Executive - UK&IUnited Kingdom - London
- Renewal Account Manager, CXUSA - Remote
- Professional Services EngineerIndia - Pune
- Specialist Software EngineerIndia - Pune