Specialist Data Scientist, Actimize
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Summary
Senior data scientist (8+ yrs) at NiCE building ML models and agentic AI systems (LLMs, RAG, tool-using agents) that power fraud detection in the Actimize product. Works end to end from data prep to deployment on transactional/behavioral data, collaborating with Product and Engineering. Pune-based, hybrid (2 office days/week).
Job Summary
How will you make an impact
You will have an advantage if you also have
What s in it for you
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
At NiCE, we don t limit our challenges. We challenge our limits. Always. We re ambitious. We re game changers. And we play to win. We set the highest standards and execute beyond them. And if you re like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, what s the role all about
We are seeking a Specialist Data Scientist (8 + yrs experience) with a strong track record of turning state-of-the-art Generative AI and classical ML techniques into production value. The Specialist Data Scientist will be responsible for developing Machine Learning models and agentic AI systems that augment fraud detection capabilities, combining LLMs, traditional ML, and domain expertise into scalable, reliable products.
How will you make an impact
- Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment.
- Design and develop predictive and generative models to extract actionable insights from large and complex tabular datasets.
- Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data.
- Perform feature engineering and explore advanced representations of transactional and behavioural data.
- Evaluate models using appropriate fraud-focused metrics, including detection performance, precision/recall, stability, generalization, and operational impact.
- Design and build agentic AI workflows, including multi-step reasoning, planning, and orchestration.
- Tool/function calling and tool-using agents.
- State and memory management.
- Autonomous workflows for investigation and decision support.
- Human-in-the-loop controls and decision making.
- Implement evaluation frameworks for LLMs and agents including quality, safety, and hallucination detection.
- Translate business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs.
- Clearly communicate research findings, model results, trade-offs, and recommendations to both technical and non-technical stakeholders.
- Collaborate closely with Data Scientists, Engineering, Product, and domain experts.
- Stay current with advances in Agentic AI, LLM architectures, reasoning systems, and ML research.
You will have an advantage if you also have
- Experience in financial services, banking, payments, fraud detection, or financial crime
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services for building and deploying machine learning models.
- Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects.
- Experience in implementing RAG pipelines, combining LLMs with external knowledge bases or vector databases.
- Experience building agent-based systems (planning, tool use, memory, reflection loops)
What s in it for you
Join an ever-growing, market disrupting, global company where the teams - comprised of the best of the best - work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!
Enjoy NiCE-FLEX!
At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
Reporting into: Manger, Data Science
Role Type: Individual Contributor
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.