Senior Data Scientist

Phamax

Bengaluru

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation

Career growth opportunities

Hybrid work environment

Job summary

Phamax is seeking a talented Senior Data Scientist to join their innovative team in Bengaluru, India. This role involves designing and deploying machine learning models that transform complex data into actionable insights. The ideal candidate will have 4–6 years of experience in data science, strong proficiency in Python, and a solid understanding of machine learning algorithms.

Join us to work on cutting-edge AI solutions with a collaborative startup culture and enjoy competitive compensation, career growth, and a hybrid work environment.

Qualifications

4–6 years of experience in Data Science or related roles.
Strong proficiency in Python and AI/ML frameworks.
Solid understanding of machine learning algorithms.

Responsibilities

Design and deploy machine learning models for real-world applications.
Work with complex datasets to derive insights.
Maintain end-to-end Machine Learning lifecycle (MLOps).

Skills

Data Science

Machine Learning

Python

SQL

MLOps

Tools

Databricks

Azure

AWS

GCP

Job description

Ariya, by phamax, is building innovative AI-powered products that are transforming decision-making in the pharmaceutical and life sciences industry.

We are looking for a talented and driven Senior Data Scientist to join our growing team. This role sits at the intersection of Machine Learning, Data Engineering, and Product Development, where you will transform complex data into scalable AI solutions that drive business impact.

Key Responsibilities

Design, develop, and deploy machine learning and AI models for real-world applications.
Work with large and complex datasets to derive insights and support business decision-making.
Build and optimize data pipelines, feature engineering processes, and model training workflows.
Collaborate with product managers, engineers, and business stakeholders to translate business challenges into data-driven solutions.
Evaluate model performance and continuously improve accuracy, scalability, and efficiency.
Implement and maintain end-to-end Machine Learning lifecycle (MLOps) practices.
Conduct exploratory data analysis (EDA) and effectively communicate insights and recommendations.
Stay current with advancements in AI, Machine Learning, Generative AI, and Data Science.
Mentor junior team members and contribute to building a strong data science culture.

Required Skills & Qualifications

4–6 years of experience in Data Science, Machine Learning, or related roles.
Strong proficiency in Python and hands‑on experience with AI/ML libraries and frameworks.
Solid understanding of machine learning algorithms, statistical modelling, and data science concepts.
Experience working with large datasets and distributed data processing systems.
Strong expertise in data preprocessing, feature engineering, and model evaluation.
Experience with SQL and data manipulation techniques.
Familiarity with cloud platforms such as Azure, AWS, or GCP.
Hands‑on experience with Large Language Models (LLMs), Generative AI, Retrieval‑Augmented Generation (RAG), and multi‑agent AI systems.
Experience developing AI‑powered solutions using structured and unstructured data.
Exposure to prompt engineering, vector databases, agentic AI workflows, and model evaluation techniques.
Strong analytical, problem‑solving, and communication skills.

Preferred Qualifications

Experience with MLOps tools and frameworks such as MLflow, Kubeflow, or Airflow.
Experience deploying machine learning models using APIs, Docker, or Kubernetes.
Exposure to real‑time data processing and streaming architectures.
Prior experience working in a startup or high‑growth environment.
Experience within the Pharmaceutical or Life Sciences domain.

Technical Skills