This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in India.

This role sits at the intersection of advanced machine learning, applied AI, and security-focused systems, driving the development of intelligent, production-grade solutions within complex enterprise environments. You will work on end-to-end data science initiatives, from problem definition and model development to deployment, monitoring, and continuous optimization. The role focuses on building innovative AI capabilities such as security-oriented agents, predictive models, and anomaly detection systems powered by large-scale security data. You will also contribute to adapting and fine-tuning LLMs for domain-specific applications, ensuring high performance in real-world use cases. This is a highly technical and impactful position requiring strong analytical depth, creativity, and structured problem-solving. You will collaborate closely with product, engineering, and security teams to translate complex challenges into scalable AI solutions. The environment is fast-evolving, highly technical, and driven by innovation in applied artificial intelligence.

• Lead end-to-end data science projects from problem framing through model development, validation, deployment, and ongoing production monitoring.
• Design and build security-focused AI systems, including intelligent agents and multi-step reasoning models.
• Develop and optimize machine learning models for classification, anomaly detection, prediction, and other advanced analytical use cases.
• Fine-tune and adapt large language models (LLMs) for domain-specific security applications and workflows.
• Collaborate with product, engineering, and security stakeholders to translate business and technical requirements into AI solutions.
• Ensure scalable deployment of models using CI/CD pipelines and best practices in MLOps.
• Provide technical leadership, mentorship, and guidance across multidisciplinary data science initiatives.
• Continuously monitor model performance and improve system reliability, robustness, and accuracy in production.

Requirements:

• Master’s degree (M.Sc. or equivalent) in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field.
• 7+ years of hands-on experience in data science, with proven delivery of end-to-end production ML systems.
• Strong expertise in Python and core data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow.
• Deep understanding of machine learning concepts, model behavior, and statistical reasoning.
• Solid knowledge of large language models, including fine-tuning and adaptation techniques.
• Experience working in cross-functional teams with strong communication and stakeholder management skills.
• Strong analytical thinking, structured problem-solving, and ability to operate in complex technical environments.
• Experience in applied AI domains such as security analytics, compliance, or enterprise-scale systems is highly valued.

Benefits:

• Competitive compensation package aligned with senior technical expertise.
• Flexible work arrangements supporting remote or hybrid collaboration.
• Opportunity to work on cutting-edge AI systems in the security domain.
• Exposure to advanced technologies including LLMs, generative AI, and AI agent architectures.
• Strong focus on technical growth, innovation, and continuous learning.
• Collaborative environment with multidisciplinary engineering and product teams.
• Health and wellness benefits as per company policy.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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