Senior Data Scientist

Location: Bangalore (Hybrid)

Department: Ariya

Employment Type: Full-time

Experience: 4-6 Years

About Ariya

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
- 4u20136 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
- Python
- Databricks
- SQL & Data Pipelines
- Azure / AWS / GCP
- LLMs, Generative AI & RAG
- Agentic AI & Prompt Engineering
- Vector Databases
- MLOps

Why Join Ariya Work on Innovative AI Products

Build cutting-edge AI solutions that are reshaping decision-making in pharma and life sciences.

High Impact & Visibility

Own meaningful work with direct visibility to leadership and measurable business outcomes.

Collaborative Startup Culture

Be part of a fast-paced environment where ideas move quickly and every contribution matters.

Freedom to Experiment

Explore new technologies, innovate, and help build next-generation AI products from the ground up.

What We Offer

- Competitive compensation and benefits.
- Chance to work on advanced AI and Machine Learning technologies.
- High ownership and accelerated career growth.
- Hybrid work environment with flexibility.
- Collaborative, innovative, and learning-focused culture.

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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