Job Description

About the job you are considering

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

Research to stay current with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.

Contributing to establishing best practices and standards for generative AI development within the organization would be advantageous

Collaborate with cross functional teams to ensure data solutions meet business needs.

Ensure data security and compliance with Responsible AI practices.

Monitor and optimize data infrastructure

Your Skills and Experience

Bachelor's degree in computer science, Data Science, or a related field.

Good proficiency in programming languages like Python

Good skills in handling and analyzing large datasets, including data cleaning, wrangling, transformation, and exploratory data analysis (EDA) using tools like pandas.

Good knowledge of statistical concepts such as hypothesis testing, regression analysis, ANOVA, experimental design, and probability theory.

Good understanding machine learning algorithms, supervised and unsupervised learning, feature engineering, model selection and evaluation, and hyperparameter tuning is essential, with libraries like scikit-learn, TensorFlow, or PyTorch commonly used.

Data visualization skills using libraries like Matplotlib, Seaborn, or ggplot

Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed databases enables the processing and analysis of large-scale datasets.

Proficiency in SQL and database management

Knowledge of data engineering concepts, including data pipelines, integration, warehousing, and architecture, is beneficial.

Cloud computing platforms (Azure) and services like Azure Machine Learning are essential

Proficiency in version control systems like Git is crucial for effective collaboration and code management.

Experienced in development using Microsoft Copilot Studio is essential.

Why you should consider Capgemini

Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

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 340,000 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 EUR22.5 billion.

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www.capgemini.com