Lead Data Scientist at ACKO

Short Description:

Lead Data Scientist (DAT00844) at ACKO, India's digital insurance pioneer, crafts and deploys advanced machine-learning models for customer-centric problem-solving in the insurance domain. This role involves developing sophisticated models, deploying production-ready AI systems, and collaborating with cross-functional teams to ensure robust, scalable, and business-aligned solutions. The ideal candidate has a minimum of 7 years of hands-on data science experience, proficiency in Python and machine learning techniques, and a background in the insurance sector.

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Position: Lead Data Scientist (DAT00844) 

Department: Technology - Data Science 

Location: Bangalore

About Us:

ACKO, India’s inaugural digital insurance company, is dedicated to reshaping the insurance landscape. Our insurtech solution is tailored to meet customer needs, addressing challenges and setting industry benchmarks.

As a tech-centric firm, we innovate to develop comprehensive products, providing seamless and holistic insurance experiences. ACKO serves as a reliable safety net, supporting individuals, families, and enterprises through life’s complexities, backed by marquee investors and strategic partnerships.

Job Description:

Role and Responsibilities:

Join us as a Lead Data Scientist at Acko Insurance, where you'll be a Subject Matter Expert crafting and deploying advanced machine-learning models in the insurance domain. Your role involves customer-centric problem-solving, diving into data, and deploying scalable AI solutions. The ideal candidate has a stellar background in machine learning, experience in B2C products, and proficiency in reading research papers to inspire solutions.

Key Responsibilities:

• Spearhead the development of sophisticated machine learning models, ensuring practical application and performance in production.
• Deploy production-ready AI systems, ensuring robustness, scalability, and alignment with business goals.
• Utilize a broad array of ML modeling techniques, modern NLP techniques, and large language models (LLMs) in day-to-day work.
• Champion the integration of Cloud AI models and familiarity with various LLMs to create standalone solutions and AI-as-a-feature.
• Develop and maintain detailed documentation and version control of models, algorithms, and deployed systems.
• Collaborate with data engineers to streamline data pipelines, ensuring efficient data flow for model training and inference.
• Work with Product Managers to set performance expectations, conduct RCA, provide resolutions to errors, and help define testing methodologies.
• Participate in system performance reviews and independently resolve business and product queries.

Technical Requirements:

• Minimum 7 years of hands-on experience in data science, with a proven track record of deploying AI models in production environments.
• Advanced proficiency in Python and its data science libraries (e.g., pandas, sci-kit-learn, TensorFlow, PyTorch).
• Strong foundation in machine learning techniques, including ensemble methods, decision trees, and regression analysis.
• Experience with NLP and using LLMs to derive understanding and insights from textual data.
• Familiarity with cloud-based AI services and tuning open-source models is useful.
• Direct experience in the insurance sector with an understanding of industry-specific data challenges.
• A Bachelor’s or Master’s degree in Engineering with a flair for Computer Science concepts, Mathematics, Statistics, or a related technical field is preferred.

Please click here to apply.