Lead Data Scientist

About Us:

BDIPlus, a US-based leading transformation consulting and Customer Data Platform (CDP) company, is dedicated to delivering cutting-edge capabilities and solutions that foster the development of enduring competitive advantages. Our innovative solutions showcase our unparalleled proficiency in technology and our deep domain expertise within the Financial Services and Insurance sectors.

By combining our exceptional technical skills with a comprehensive understanding of each client's institutional landscape and unique areas for improvement, we empower them to convert data into actionable and well-organized information. This enables precise decision-making, increased efficiency, and accelerated business growth.

BDIPlus is currently seeking a Lead Data Scientist for our office located in Bangalore.

Job Overview:

We are looking for a highly skilled Lead Data Scientist who can define, develop, and scale ML/AI-based modules and features for our product using a data-driven approach. simplifies the overly complicated process of extracting data, visualizing it, and generating predictions and prescriptions using natural language.

A strong candidate should have a proven track record of building products from 0 to 1 - either as a solopreneur or by leading teams of highly skilled and motivated individuals.

Key Responsibilities:

• Perform in-depth data analysis, statistical modeling, and hypothesis testing to uncover trends and patterns.
• Develop, validate, and deploy predictive and prescriptive models.
• Collect, clean, and preprocess structured and unstructured data from multiple sources.
• Communicate findings and insights through clear visualizations, reports, and presentations.
• Collaborate with cross-functional teams (engineering, product, business) to implement data-driven solutions.
• Monitor model performance and continuously improve analytical frameworks.

Required Skills & Qualifications:

• MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, navigating ambiguous environments—ideally as an early data scientist at a hyper-growth company or research organization.
• Demonstrated experience in deep learning and transformer models.
• Prior experience in NLP, large language models, or generative AI.
• Strong foundation in data structures, algorithms, and software engineering principles.
• Experience defining, implementing, and operationalizing new product features from scratch.
• Excellent problem-solving and analytical skills, with a proactive approach to challenges.
• Ability to move quickly in environments where priorities may shift and definitions may be loose.
• Ownership mindset—comfortable picking up new knowledge as needed to get the job done.
• Pragmatic approach, comfortable shipping iteratively while building toward a long-term vision.

What Success Looks Like:

• Delivering
  production-ready ML/AI models
  that enhance the capabilities of , especially around natural language data extraction, visualization, and prediction/prescription.
• Translating complex data
  into actionable insights and clear recommendations that directly impact business outcomes.
• Building and scaling
  new product features from 0 → 1
  , demonstrating both technical innovation and execution speed.
• Establishing a
  robust data pipeline and framework
  for structured and unstructured data, ensuring quality and reliability.
• Collaborating seamlessly with engineering, product, and business teams to deliver
  end-to-end, data-driven solutions
  that customers actually use.
• Continuously
  monitoring and improving model performance
  , ensuring outputs remain accurate, relevant, and impactful as data evolves.
• Acting as a
  thought leader in ML/AI within the company
  , mentoring team members and setting best practices.
• Demonstrating an
  ownership mindset
  —taking initiative, adapting to ambiguity, and driving work to completion without waiting for perfect instructions.
• Playing a key role in
  accelerating 's growth and adoption
  , making the product smarter, faster, and more intuitive for users.

Our Purpose and Culture at BDIPlus:

Our mission is to help enterprises utilize their resources more efficiently, implement effective information management and empower them by enabling richer insights and intelligence. We are driven by a single purpose: empower the technology transformation. We are passionate about creating foundational technology platforms for enterprise data and information management. Our employees are at the heart of the work we do at BDIPlus. We are committed to encouraging and celebrating innovation, creativity, and hard work among our team members.