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NICE

Senior Data Scientist, Actimize (Machine Learning)

NICE · India - Pune

Posted 15 days ago

or apply directly on NICE's site. We never take the application ourselves.

Is this posting real?

This role has been open
15 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 Senior Data Scientist role at NiCE focuses on solving complex fraud-related problems through advanced analytics and machine learning. Daily tasks include analyzing large datasets, building and optimizing machine learning models for fraud detection, and collaborating with cross-functional teams to deliver scalable analytical solutions. The position also involves communicating insights to stakeholders and contributing to innovation within the team.

Our read on this posting2.8out of 5
benefits
1/5
freshness
4/5
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

  • 4 to 8 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

  • NiCE-FLEX hybrid model allowing 2 days in office and 3 days remote work
  • Endless internal career opportunities across multiple roles, disciplines, domains, and locations

Worth weighing

  • No salary listed
  • Focus on fraud analytics may limit exposure to other data science applications
  • Role is individual contributor with potential limited career progression compared to managerial roles

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.

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