Data Scientist

Position Description
Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.
Job Title: Data Science
Position: Senior Software Engineer
Experience: 7 - 12 Years
Category: Software Development/ Engineering
Shift: Hybrid - (1PM to 10 PM Shift)
Main location: Hyderabad
Position ID: J0826-0434
Employment Type: Full Time
Education Qualification: Bachelors degree in Computer Science or related field or higher with minimum 6 years of relevant experience.
Position Description: Were looking for a Senior Data Scientist with strong analytical thinking, deep technical expertise, and a proven ability to apply machine learning to solve real-world problems. The candidate should have 4+ years of high-quality proven experience in AI/ML working. Youll work with cross-functional teams to design, develop, and deploy scalable AI/ML solutions, including Generative AI, predictive modeling, and recommendation systems.
Your future duties and responsibilities
Design, build, and validate machine learning and deep learning models, ensuring robustness, scalability, and explainability.

• Apply strong statistical foundations to analyze large datasets and derive actionable insights.
• Lead the development and evaluation of models using modern ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Drive the adoption of Generative AI and LLM-based solutions, ensuring model alignment, prompt engineering, and ethical AI practices.
• Collaborate with data engineers, product teams, and business stakeholders to transform business problems into technical solutions.
• Contribute to code reviews, model documentation, and mentorship of junior data scientists.
  

Stay abreast of the latest research and translate cutting-edge methods into production.

• Statistical and Mathematical Rigor
• Strong grasp of descriptive and inferential statistics (hypothesis testing, A/B testing, regression, probability theory).
• Understanding of bias-variance trade-off, regularization, overfitting, and model validation techniques.
• Machine Learning & Deep Learning
• Hands-on experience with a range of algorithms: decision trees, ensemble models, SVMs, neural networks, clustering, and NLP techniques.
• Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.
• Generative AI & LLMs
• Conceptual and practical knowledge of Large Language Models (e.g., GPT, BERT, LLaMA), fine-tuning, embeddings, and prompt engineering.
• Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models) is a strong plus.
• Programming & Problem Solving
• Advanced proficiency in Python with the ability to write clean, modular, and testable code.
• Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, and HuggingFace.
• Strong problem-solving skills with the ability to tackle coding challenges independently and efficiently.
• Tooling & Deployment
• Experience with cloud platforms (AWS, GCP, Azure), ML pipelines (MLflow, Airflow, Kubeflow), and containerization (Docker, Kubernetes).
• Version control (Git) and collaborative development practices.
  

Required Qualifications To Be Successful In This Role

• Bachelors or masters degree in computer science, Statistics, Applied Mathematics, or a related field.
• Statistical and Mathematical Rigor

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  Get Hired
  Strong grasp of descriptive and inferential statistics (hypothesis testing, A/B testing, regression, probability theory).
• Understanding of bias-variance trade-off, regularization, overfitting, and model validation techniques.
• Machine Learning & Deep Learning
• Hands-on experience with a range of algorithms: decision trees, ensemble models, SVMs, neural networks, clustering, and NLP techniques.
• Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.
• Generative AI & LLMs
• Conceptual and practical knowledge of Large Language Models (e.g., GPT, BERT, LLaMA), fine-tuning, embeddings, and prompt engineering.
• Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models) is a strong plus.
• Programming & Problem Solving
• Advanced proficiency in Python with the ability to write clean, modular, and testable code.
• Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, and HuggingFace.
• Strong problem-solving skills with the ability to tackle coding challenges independently and efficiently.
• Tooling & Deployment
  

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