Data Science - Python

placeLondon calendar_month 

Get The Future You Want!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible.

Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role:

  • Experienced Python developer with strong coding and debugging skills.
  • Solid understanding of software design principles and system architecture.
  • Hands-on experience with object-oriented frameworks and design patterns.
  • Proficient in numerical and data manipulation libraries such as NumPy, SciPy, and Pandas.
  • Skilled in designing and implementing end-to-end machine learning pipelines.
  • Experience in training, testing, and deploying machine learning models in production environments.
  • Familiar with statistical modeling and deep learning concepts.
  • Practical experience with ML libraries including scikit-learn, PyTorch, TensorFlow, and Keras.
  • Ability to write clean, modular, and scalable code for data-driven applications.
  • Strong problem-solving mindset with a focus on performance and reliability.

Your Profile:

  • Experience in financial engineering with exposure to market and fundamental data.
  • Familiarity with financial modeling and forecasting techniques.
  • Prior experience in corporate finance or financial markets, including equities, rates, or FX.
  • Understanding of business workflows and data structures in the financial domain.
  • Hands-on experience with natural language processing (NLP) models.
  • Practical use of large language models (LLMs) for tasks like text generation and sentiment analysis.
  • Experience with fine-tuning LLMs using techniques such as LoRA or qLoRA.
  • Familiarity with performance optimization tools like DeepSpeed for accelerated model training.
  • Ability to integrate NLP solutions into financial applications and pipelines.
  • Strong analytical mindset with the ability to bridge technical solutions and financial insights.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries.
With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.

The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want | www.capgemini.com

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