Specialist Data Scientist, Actimize

Job Title: Specialist Data Scientist, Actimize Company: NiCE Job Category: Machine Learning Roles & Responsibilities: 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. 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! Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000\+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3\+ billion financial transactions.* Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30\+ countries.* NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Work Location: Pune City, Maharashtra, India Availability: Full time

Have you got what it takes? * + Minimum of 6 years of hands\-on experience in data science and machine learning, with hands\-on experience developing solutions using Generative AI, LLMs, or Agentic AI + Proficiency in programming languages such as Python , as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit\-learn, Hugging Face \- Transformers, LangChain etc.). + Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning, feature engineering, model evaluation, overfitting, validation, and model interpretability. + Hands\-on experience with: + LLMs and prompt engineering + frameworks like Hugging Face, LangChain, LangGraph / similar + evaluation techniques for generative models + Excellent problem\-solving skills and ability to work independently as well as collaboratively in a fast\-paced environment. + Ability to independently investigate a problem, formulate hypotheses, design experiments, and derive actionable conclusions. + Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Key Skills: Machine Learning, Python, Pandas, NumPy, Feature Engineering Salary: Not disclosed