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Axtria
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Director - Data Science

Director - Data Science

Axtria

12 - 17 years

30 - 35 Lacs

bengaluru

Posted:6 hours ago| Platform:

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Skills Required

data science python data management ai data engineering analytics deep learning r tensorflow nlp automation compliance devops team leadership data governance keras life sciences big data aws rfp strategic partnerships azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities

P&L Ownership & Strategic Growth

Expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes
Own and manage a portfolio P&L with accountability for revenue growth, gross margins, and delivery excellence.
Develop and convert pipeline opportunities by aligning client priorities with Axtrias data & AI offerings. Lead consulting engagements to win new business opportunities in pharma and life sciences.
Influence account strategy, pricing models, investment cases, and strategic alliances.

Client Advisory & Large Scale Delivery

Oversee solution delivery of large-scale data and AI programs ensuring scientific rigor, innovation velocity, and commercial impact.
Drive adoption of cloud-native architectures, modern data platforms, and AI/Agentic AI solutions.
Ensure compliance with industry standards, data governance, and security protocols.

Team Leadership & Capability Building

Build and mentor high-performing teams across data engineering, analytics, and AI disciplines.
Foster a culture of innovation, collaboration, and continuous learning.
Foster a high-performance culture anchored in continuous learning, ethical AI, and measurable impact.

IP, Innovation and Thought Leadership

Lead the development of next-gen agentic architectures that support autonomous decisioning, adaptive learning loops, and personalized interventions.
Contribute to the firms IP portfolio through thought leadership, open-source tooling, and platform accelerators.
Publish whitepapers, blogs, and POVs on emerging trends in AI, data management, and pharma analytics.

Required Skills & Experience

12+ years in data management, AI/ML consulting, or digital transformation, with a minimum of 5 years focused on life sciences or healthcare.
Bachelors degree a must w/ masters or PhD in Computer Science or related quantitative field.
Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data.
Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment.
Hands-on knowledge of AI/ML frameworks, Agentic AI, and generative AI technologies. Strong grasp of data management, governance, and advanced analytics.
Led complex, enterprise-scale AI/ML transformations in commercial pharma, HEOR, medical affairs, and patient analytics.
Strong consultative and client-facing experience with a commercial mindset.
Experience in RFP development, solution selling, and delivering data & AI applications in life sciences.
Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus.
Patents or publications in AI/ML a strong plus.

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