Data Scientist

Roles & Responsibilities

You will be an integral part of a collaborative cross-functional team, working alongside fellow Data Scientists, Data Analysts, Data Engineers, and Software Engineers. Our team is dedicated to developing sophisticated data products that enhance operational intelligence and solve real-world business challenges. We thrive on exploring new technologies and innovating solutions that push the boundaries of data and AI.

What You'll Do (Key Responsibilities) :

• As a key contributor, you will work closely with the team to assist with and drive projects through their entire lifecycle. Your responsibilities will include, but are not limited to :
• Assisting with ML Solutions : Collaborating on the development, and maintenance of machine learning models, with a focus on continually improving our recommendation systems to enhance consumer experience and engagement.
• Learning and Innovating with AI : Assisting in the implementation of automation solutions, particularly incorporating advanced AI / ML models (including LLMs and Generative AI) into our corporate AI portal.
• Strategic Collaboration : Collaborating with MLOps engineers and the broader team to deploy and maintain models in production, and ensuring efficient feature management and data pipelines.
• Experimentation & Prototyping : Performing small-scale proof-of-concept studies and exploratory experiments to evaluate new data science techniques and technologies, and contributing to the development of early-stage prototypes.

What We're Looking For :

To apply, simply click the "Apply" button or send your updated profile to recruit@percept-solutions.com

EA Licence No. : 18S9405 / EA Reg. No. : R1330864

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https : / / www.linkedin.com / company / percept-solutions / to stay informed about new opportunities and events.

Tell employers what skills you have

Machine Learning

MongoDB

Pandas

Kubernetes

Pipelines

Experimentation

Natural Language Processing

Problem Solving

SQL

Python

Containerization

Statistics

Docker

Data Science

Databases