Specialist Data Scientist, Actimize

Overview

Specialist Data Scientist role focused on developing machine learning models and Generative AI solutions for fraud prevention, working with cross-functional teams to solve complex business problems.

What you'll do

• Develop and execute advanced analytics projects 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 scientists, and champion best practices in code quality, experimentation, and documentation.
• Stay abreast of the latest advancements in Data Science, Machine Learning, and Generative AI, and recommend innovative approaches to solve business challenges.

What you'll need

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 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, and 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.

Nice to have

• Advanced degree (Master's or Ph.D.) in a related field.
• 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.

Details

• Location: India - Pune.
• Work mode: NiCE-FLEX hybrid model, 2 days in the office and 3 days remote each week.
• Reports into: Group Manager.
• Role type: Individual Contributor.