Data Scientist

Introduction
In this role you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers) where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.​ Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role you’ll be encouraged to challenge the norm investigate ideas outside of your role and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities
As a Data Scientist at IBM you’ll be the strong analytical mind that manages all data related questions (includes the understanding of data sets to be used research of available data sources data cleaning data preparation alignment with business stakeholders and various other client teams data selection and set-up of the graph ontology).

Your Role and Responsibilities :

• Development and evaluation of AI/ML algorithms in Python
• Understanding of ML model deployment and life cycle management also using PowerBI and other data visualisation tools
• You’ll be using LLMs traditional NLP and GenAI
• You’ll be managing Data Science techniques and various statistical methods in order to reach the business objectives
• Stabilize an existing PoC and make sure code quality gates are met (min. 80% unit test coverage on new code)

Required Technical and Professional Expertise

• Experience with financial data ( e.g. credit data transactions securities )
• Experience in implementation of LLM use case for text to SQL translation (code generation)
• Model selection and evaluation for LLMs previous experience
• Fluent in English both spoken and written
• Bachelor’s or Master’s degree in a related field (Statistics Data Science Computer Science etc.)

Preferred Technical and Professional Expertise
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