Lead Data Scientist

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 lifecyclefrom data preparation and exploratory analysis to model deploymentwhile 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

• Artificial Intelligence
• Data Science
• Machine Learning
• Data Analysis
• Python

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

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

Youll shape your career by joining a company built to grow and last. Youll 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 teamone of the largest IT and business consulting services firms in the world.