Specialist Data Scientist, Actimize

Nice Ltd.; Pune District; Hybrid; INR 1.500.000 - 3.000.000; Vollzeit

Benefits dieser Stelle

NiCE-FLEX hybrid model

Career growth opportunities

Zusammenfassung

NiCE is seeking a seasoned Data Scientist (5+ years) to turn state-of-the-art Generative AI and classical ML into production value. You will develop ML models for fraud prevention and partner with cross-functional teams to solve complex business problems.

The role requires strong Python/R skills, ML knowledge, and leadership experience. Hybrid work with flexible remote options and global collaboration opportunities are offered.

Qualifikationen

• Bachelor's degree or higher in CS/Statistics/Math or related field.
• Minimum 5 years hands‑on data science and ML; 1+ year in Generative AI.
• Proficient in Python or R with data libraries (pandas, NumPy, scikit-learn).
• Strong ML knowledge: supervised/unsupervised, regression, classification, clustering, deep learning.
• Knowledge of LLMs, Agentic Architectures and evaluation methods for generative outputs.
• Solid prompt engineering foundation for AI outputs across tasks.

Aufgaben

• Develop end-to-end analytics projects from data collection to deployment.
• Design and deploy predictive and generative models for business problems.
• Apply statistical and quantitative analyses to extract insights from complex data.
• Collaborate with Product, Engineering and SMEs to translate problems into analytics.
• Mentor junior data scientists and promote code quality practices.
• Stay current with DS/ML/Generative AI advances and propose innovative approaches.

Kenntnisse

Python

R

Pandas

NumPy

scikit-learn

Transformers

LangChain

LLMs

Generative AI

prompt engineering

Leadership

Communication

Ausbildung

Bachelor's degree in CS/Statistics/Math

Master's or PhD preferred

Tools

AWS

Azure

Google Cloud

Tableau

Power BI

Jobbeschreibung

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 for a seasoned Data Scientist (5 + yrs) 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 collaborating with cross-functional teams to solve complex business problems at the fraud prevention domain.

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 datasets.
• Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data.
• Translate business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs.
• Mentor and upskill junior data scientist, champion best practices in code quality, experimentation, and documentation.
• Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges.

Have you got what it takes?

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred.
• Minimum of 5 years of hands‑on experience in data science and machine learning, Agentic AI with at least 1 year of experience in Generative AI development.
• Proficiency in programming languages such as Python or R, 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.
• Strong understanding of LLMs, Agentic Architectures and evaluation methods for generative outputs.
• Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains.
• Excellent problem‑solving skills and ability to work independently as well as collaboratively in a fast‑paced environment.
• Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences.
• Proven leadership abilities, with experience in mentoring junior team members and leading cross‑functional projects.

Preferred Qualifications:

• Experience working in industries such as finance, banking.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services for building and deploying machine learning models.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) for creating interactive dashboards and reports.
• 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.
• Hands‑on experience with vector databases (e.g. Pinecone) and embedding techniques.

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!

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.

About NiCE

NICELtd. (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 crimeand ensure public safety.Every day, NiCE software managesmore than120 million customer interactions and monitors3+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.