Lead Data Scientist (26000JEW)

Missions A seasoned Data Scientist with 6 7 years of professional experience. This role offers the opportunity to leverage expertise in statistical analysis and AI/ML to develop impactful solutions that align with our enterprise strategy. Data Scientist will be deeply involved in the entire project lifecycle—from data preparation and exploratory analysis to model deployment—while collaborating with multidisciplinary teams to deliver scalable, measurable results.

Key Responsibilities

Develop and implement high impact AI/ML use cases that support our organizational objectives.

Communicate findings, insights, and methodologies clearly to non technical stakeholders.

Design, build, and optimize predictive models, classifiers, and regression algorithms using classical AI/ML techniques such as SVMs, Decision Trees, Random Forests, k NN, Naive Bayes, and ensemble methods.

Validate models with appropriate statistical and machine learning evaluation techniques.

Apply strong statistical foundations, including distributions, hypothesis testing, regression analysis, and probability theory.

Conduct thorough exploratory data analysis to uncover key trends, patterns, and anomalies.

Ensure data quality and reliability through rigorous analytical practices.

Support the ML lifecycle, including model design, infrastructure, production setup, monitoring, and release management, with basic familiarity in MLOps.

Requirements

6 7 years of hands on experience in Data Science.

Proven proficiency in statistical data analysis, machine learning, and natural language processing, with a strong understanding of practical constraints.(Must Have)

Advanced skills in Python programming and SQL, utilizing relevant libraries for effective data analysis. (Must Have)

Demonstrated experience in AI/ML solution development, including supervised and unsupervised learning algorithms, model evaluation,



and feature engineering. (Must Have)

Basic familiarity with MLOps and feature engineering methods for model workflows.(Basic Knowledge)

Competency in software development methodologies and versioning tools. (Must Have)

Experience with front end visualization tools such as Streamlit or lightweight UI layers (Good to Have).

Exposure to GenAI, including LLM integration, prompt engineering, model packaging, and lifecycle management (Preferred).

Familiarity with agentic AI frameworks like LangChain and LangGraph, and agent based patterns (Good to have

Your future duties and responsibilities

Required qualifications to be successful in this role

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace current opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

Come join our team—one of the largest IT and business consulting services firms in the world.

📌 Lead Data Scientist (Bengaluru)
🏢 CGI
📍 Bengaluru