Data Scientist

BUSINESS UNIT

Wolters Kluwer’s Legal and Regulatory division enables legal and compliance professionals to improve productivity and performance, mitigate risk, and solve complex problems with confidence.

Within Legal and Regulatory division, ELM Solutions provides a comprehensive suite of tools that address the growing needs of corporate legal operations departments to increase operational efficiency and reduce costs. Corporate legal and insurance claims departments trust our innovative technology and end-to-end customer experience to drive world-class business outcomes.

About the Role:
As a Data Scientist, you’ll embark on an exciting career journey, mainly focusing on supporting the team with entry-level data tasks while gaining exposure to a variety of data science techniques. You will help collect, clean, and analyze data to provide preliminary insights that will contribute to predictive models and assist in optimizing business performance. This role is perfect for those eager to build a foundation in data science and are enthusiastic about leveraging data to drive innovation.

**Responsibilities**:

- Work on configuration, maintenance, and support of portfolio of AI models and related products.
- Work on AI model releases.
- Work on either training a new model or maintaining the existing models by iterative re-training.
- Take feedback from analysis, end users and domain experts to perform model calibration, bug fixes and enhancements.
- Work on new client onboardings by developing configuration for model pipelines.
- Work on model delivery to Production deployment team and coordinate model production deployments.
- Effectively collaborate with cross-functional teams.
- Conduct preliminary data analysis to support more senior team members
- Help maintain databases and data repositories.
- Collaborate with colleagues to understand data requirements and goals.
- Stay updated with the latest data science trends and tools.
- Document processes followed during data collection and analysis.

Skills:
ESSENTIAL SKILLS
- Good knowledge of Python programming language, data engineering and data science ecosystem in Python.
- Hands on experience in Generative AI, LLM and Advance RAG techniques.
- Hands on experience in developing and supporting Machine Learning solutions.
- Hands on experience in developing Natural Language Processing (NLP) solutions
- Hands on experience on SQL ecosystem
- Hands on experience on Solr framework with Python
- Experience of working on Linux and shell scripting
- Basic statistical modelling knowledge
- Strong Computer Science fundamentals are must. (Data structures, Algorithms, OS, Databases).
- Good communication and organizational skills with significant attention to detail
- Experience partnering with cross-functional teams of domain experts, engineers, data scientists, and production support teams. - Strong attention to detail with excellent problem-solving skills.
- Desire and ability to thrive in a distributed technical environment while working on multiple projects simultaneously.
- Passionate about latest technology trends with a strong desire for innovation.
- Self-motivated, self-managing and able to work independently.

EDUCATION AND EXPERIENCE
- Bachelor's degree (B.E/ B Tech. computer science, engineering, statistics/mathematics or a related field) from a four-year college or university, or equivalent, master’s a plus.

The above statements are intended to describe the general nature and level of work being performed by most people assigned to this job. They are not intended to be an exhaustive list of all duties and responsibilities and requirements.