Job Description

Job Title Data Science Consultant

Location : Hyderabad, Bengaluru

Exp 4-9 Years

Budget : Upto 21 LPA

Must-have skills : Data Science

Good to have skills : Ability to leverage design thinking, business process optimization, and stakeholder management skills

Job Summary :

This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.

Roles & Responsibilities :

Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.

WHATS IN IT FOR YOU?

- We are seeking a skilled and experienced Data Scientist to join our Hi-Tech practice.

- The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology.

- As a Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products.

What you would do in this role :

- Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries.

- Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments.

- Develop and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets.

- Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions.

- Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques.

- Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems.

- Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued.

- Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization.