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Capgemini

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Data Scientist

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Description

Job Description

About Company:

Choosing Capgemini means choosing a company where you will be empowered to shape your career according to your aspirations. With the support and inspiration of a global community of experts, you will be able to reimagine your future. Join us to redefine the boundaries of what is possible, help unlock the value of technology for leading organizations, and contribute to building a more sustainable and inclusive world.

Your Role & Responsibilities:

We are seeking an Data Scientist to join our growing team in Egypt. In this role, you will be responsible for identifying business opportunities, analyzing processes, gathering requirements, and translating business needs into AI-driven solutions. You will collaborate with clients, stakeholders, AI architects, data scientists, and cross-functional teams to drive successful AI transformation initiatives and deliver measurable business value.

As a Data Scientist, your main responsibilities will include:

  • Analyze large and complex datasets to identify trends, patterns, and actionable business insights.
  • Design, develop, train, and deploy machine learning and predictive models to solve business challenges.
  • Apply statistical analysis, data mining, and advanced analytics techniques to support decision-making.
  • Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
  • Work closely with Data Engineers and AI teams to build scalable data pipelines and production-ready models.
  • Evaluate, optimize, and monitor model performance while ensuring accuracy, reliability, and business relevance.
  • Develop visualizations, dashboards, and reports to communicate findings to technical and non-technical audiences.
  • Stay current with emerging trends and technologies in Data Science, Machine Learning, Generative AI, and Advanced Analytics.processes, challenges, and opportunities to identify AI and Generative AI use cases that drive business value.

Your Profile:

  • Bachelor’s or Master’s degree in a relevant field such as Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or Statistics.
  • 5+ years of experience in Data Science and Machine Learning.
  • Strong expertise in Time Series Forecasting, Machine Learning, and Deep Learning.
  • Hands-on experience with NLP techniques and models.
  • Proficiency in Python, SQL, and leading ML/DL frameworks.
  • Experience building, validating, deploying, and monitoring predictive models.
  • Strong understanding of data preprocessing, feature engineering, and model evaluation.
  • Exposure to Generative AI, Agentic AI, Azure ML Services, MLOps, or Databricks is a plus.
  • Strong communication skills and fluency in English.

Why Join Us?

  • Meaningful Impact: Contribute to innovative projects that help clients achieve their business and technology transformation goals.
  • Professional Growth: Access continuous learning opportunities, certifications, mentorship, and career development programs.
  • Global Exposure: Collaborate with diverse teams, clients, and stakeholders across industries and geographies.
  • Cutting-Edge Projects: Work with leading technologies, methodologies, and business solutions.
  • Collaborative Culture: Join an inclusive, supportive, and people-centric work environment.

Our Commitments and Priorities:

At Capgemini, we foster an inclusive culture within a diverse and multicultural environment. By joining us, you become part of a team that values diversity, develops talent, supports social impact initiatives, and actively contributes to reducing environmental impact across our operations and client engagements.

Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable future. With a strong heritage and a global presence across more than 50 countries, Capgemini delivers end-to-end services and solutions leveraging strengths in cloud, data, artificial intelligence, software, digital engineering, and platforms.

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