Data Science - Python

Capgemini; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

Join a leading company as an experienced Python developer, where you'll work on designing machine learning pipelines and integrating NLP solutions in the financial domain. If you have a strong coding background and financial engineering experience, this role offers an exciting opportunity to make a significant impact in technology and finance.

Qualifications

• Experience in financial engineering and corporate finance.
• Hands-on experience with NLP models and large language models.
• Strong analytical and coding skills.

Responsibilities

• Design and implement end-to-end machine learning pipelines.
• Integrate NLP solutions into financial applications.
• Write clean, modular, and scalable code for data-driven applications.

Skills

Python

Machine Learning

Financial Engineering

Data Manipulation

Problem Solving

Tools

NumPy

Pandas

scikit-learn

PyTorch

TensorFlow

Keras

DeepSpeed

Job description

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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.

Experience level Experienced Professionals

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