Join Capgemini Invent as a Lead Data Scientist and drive transformative solutions. We are inventive transformation consultants, merging strategic, creative, and scientific expertise to address complex client challenges.

Leveraging science, data, creativity, design, and purpose-driven technology, you will develop cutting-edge solutions for today's and tomorrow's business needs. This role offers a unique opportunity to work with a global leader in business and technology transformation.

Develop and implement advanced predictive and prescriptive models using statistical and machine learning algorithms, including Time Series, Regression, Trees, Ensembles, and Neural Networks (CNN, LSTM, Transformers).

Apply unsupervised learning techniques like Market Basket Analysis and clustering. Implement NLP solutions for information extraction, sentiment analysis, and document summarization, with experience in LLMs and RAGs being advantageous.

Utilize graph analytics for building knowledge graphs and apply mathematical optimization techniques. Develop and deploy ML pipelines using MLOps best practices for production environments on-premises and in the cloud.

Proficiency in programming languages such as Python, with libraries like NumPy, SciPy, Pandas, and Matplotlib.

Experience with RDBMS and NoSQL databases, and ML/DL frameworks including SciKitLearn, TensorFlow, PyTorch, and Spark ML.

Familiarity with cloud platforms (Azure, AWS, GCP) and graph analytics. A strong understanding of optimization algorithms and various simulation techniques is expected.