Data Science

19 hours ago


Bengaluru, Karnataka, India Hireginie Talent Cloud Full time ₹ 15,00,000 - ₹ 30,00,000 per year

Description:

Data Science & AI Lead

Location: Bengaluru

Experience: 7 Years

Qualification: B.Tech/M.Tech (or equivalent) in Computer Science, Data Science, or related domain

About the Client :

Our client is a leading IT and data solutions provider delivering services in consulting, systems integration, data science, IoT, and business process outsourcing. By combining advanced analytics, technology innovation, and deep domain expertise, they enable global organizations to enhance efficiency, solve complex challenges, and accelerate their digital transformation journey.

Role Overview :

As the Data Science & AI Lead, you will be responsible for shaping and executing the companys data science and AI strategy. You will lead a high-performing team to design, develop, and deploy cutting-edge AI/ML solutions that drive business value. This role requires a balance of technical expertise, leadership acumen, and strategic vision to advance the organizations AI-driven initiatives.

Key Responsibilities :

Strategy & Leadership :

- Develop and execute the organizations data science and AI roadmap aligned with business goals.

- Lead, mentor, and grow a team of data scientists, machine learning engineers, and AI specialists.

- Foster a culture of innovation, collaboration, and continuous learning within the team.

Project Delivery :

- Oversee the design, development, and deployment of scalable data science and AI/ML models.

- Collaborate with business, IT, and product teams to identify, prioritize, and deliver high-impact AI initiatives.

- Ensure models are robust, reliable, explainable, and production-ready.

Data Governance & Quality :

- Define and implement best practices for data governance, quality, and security.

- Ensure the integrity, scalability, and performance of AI solutions across platforms.

Insights & Communication :

- Analyze complex datasets to uncover insights and drive data-informed decision-making.

- Present findings and strategic recommendations to senior stakeholders and executives.

Innovation & Continuous Improvement :

- Stay current with emerging AI/ML technologies, tools, and frameworks.

- Continuously optimize data science methodologies, pipelines, and architectures to improve efficiency and outcomes.

Qualifications & Requirements :

years of experience in Data Science, Machine Learning, or Artificial Intelligence, including 3 years in a leadership role.

- Proven experience in delivering end-to-end AI/ML projects with measurable business impact.

- Proficiency in Python, R, and SQL; expertise in frameworks such as TensorFlow, PyTorch, and scikit-learn.

- Strong understanding of cloud platforms (AWS, Azure, GCP) and data engineering concepts.

- Deep knowledge of statistical modeling, predictive analytics, and data mining.

- Familiarity with NLP, Computer Vision, or Generative AI domains is a plus.

- Excellent problem-solving, critical thinking, and communication skills.

- Relevant industry certifications (e.g., AWS Certified Data Scientist, Google Cloud Professional Data Engineer) are preferred.

- Experience in product development, project management, or business consulting is an added advantage.


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