Redcliffe Lab - Head - Data Science

• Position: Head- Data Science
• Company: Redcliffe Labs (www.redcliffelabs.com)
• Location: Noida
• Industry: Healthcare
• Reporting Manager: Pradeep Tomar
• Department: Technology
• Domain: Corporate
• Required Experience: 8-10 years
• Position Overview:

We are seeking a visionary Head of Data Science to lead our advanced analytics and AI initiatives. This role requires deep expertise in machine learning, generative AI/LLMs, and applied data science-combined with strong business acumen and the ability to engage at the CXO level. The successful candidate will define the organization's data science strategy, oversee the execution of cutting-edge solutions, and act as a thought leader in driving digital transformation.

Key Responsibilities:

Strategic Leadership

• Define and execute the long-term data science and AI roadmap, aligned with business priorities.
• Represent data science in executive and board-level discussions, influencing strategic direction.
• Partner with CXOs and business leaders to identify opportunities where AI/ML can deliver measurable impact.
• Serve as the thought leader for Generative AI and LLM adoption, ensuring the organization remains at the forefront of AI innovation.

Team Development

• Build, lead, and mentor a team of data scientists, ML engineers, and AI researchers.
• Establish a center of excellence for AI/ML and data science practices.
• Foster a culture of innovation, experimentation, and continuous learning.

AI/ML & Innovation

• Lead design and deployment of advanced machine learning, deep learning, and LLM-based solutions.
• Oversee model lifecycle management, including training, deployment, monitoring, and retraining.
• Drive adoption of MLOps practices to ensure scalable and production-grade ML systems.
• Spearhead initiatives in NLP, computer vision, recommendation systems, and generative AI.

Collaboration & Business Impact

• Act as a bridge between data science and business strategy, ensuring solutions deliver ROI.
• Partner with product, engineering, and technology teams to integrate AI-driven capabilities into core platforms.
• Present analytical insights and AI-driven opportunities to executive stakeholders and external partners.

Qualifications:

• 8-10 years of experience in data science and machine learning, with at least 3+ years in leadership roles.
• Proven expertise in LLMs, NLP, deep learning, and advanced ML techniques.
• Strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc.).
• Hands-on experience with any cloud AI platforms (AWS Sagemaker, GCP Vertex AI, Azure ML) and big data ecosystems (Spark, Databricks).
• Demonstrated ability to communicate complex AI concepts to executive leadership and drive buy-in at the CXO level.
• Strong background in AI/ML strategy, governance, and ethical AI practices.
• Excellent stakeholder management, influencing, and leadership skills

Skills:

• Experience building enterprise-grade AI/LLM applications at scale.
• Familiarity with retrieval-augmented generation (RAG), vector databases, and prompt engineering.
• Exposure to AI regulation, compliance, and responsible AI frameworks.
• Industry experience in healthcare, fintech, or other AI-driven sectors