Data Scientist

Capgemini Invent

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Your Role

As part of Capgemini Invent's Intelligent Industry team in the Middle East, you will work on high-impact transformation programs for leading industrial clients across manufacturing, energy, logistics, and process industries, across specific profiles.

Your role will vary based on your experience level, but will generally include:

• Leading or contributing to end-to-end consulting engagements - from diagnostic and strategy to implementation.
• Designing and delivering solutions in one or more of the following areas:
• Supply Chain: e.g., visibility, planning, optimization, S&OP
• Smart Plant: e.g., Industry 4.0, IoT, MES, digital twins
• Insights for Intelligent Industry: e.g., AI/ML use cases, predictive models, operational intelligence
• Collaborating with multidisciplinary teams including data engineers, architects, and domain experts
• Managing client relationships, facilitating workshops, and presenting recommendations to C-level stakeholders
• Developing business cases, roadmaps, and implementation
• Executing workstreams, conduct analyses, and support delivery

This is an opportunity to work in one of the world's most dynamic regions, on projects that matter with clients who are serious about transformation.

Your Skills and Experience - for each specific profile

The skills, level of expertise, and years of experience required will vary depending on the seniority of the role you're applying for.

Must-have:

• 2+ years of hands-on experience in data science, machine learning, or AI applications
• Strong programming skills in Python or R; proficiency with ML libraries (scikit-learn, pandas, numpy, TensorFlow, PyTorch, etc.)
• Proven ability to build, train, validate, and deploy predictive or prescriptive models in production environments
• Experience working with industrial, operational, or time-series data (sensor data, process data, quality data, maintenance logs, etc.)
• Solid understanding of statistical methods, feature engineering, model evaluation, and optimization techniques
• Familiarity with data preprocessing, cleaning, and transformation pipelines
• Ability to communicate technical concepts and model outputs to business stakeholders
• Excellent communication skills in English (verbal and written), ability to present to senior stakeholders

Nice-to-have:

• Hands-on experience with cloud platforms (Azure, AWS, GCP) and big data technologies (Spark, Databricks)
• Knowledge of deep learning, computer vision, or NLP applications in industrial settings
• Familiarity with industrial use cases: predictive maintenance, anomaly detection, quality prediction, process optimization, digital twins
• Familiarity with the Middle East or industrial markets (manufacturing, energy, FMCG, retail)
• Knowledge of Arabic

Why you should consider 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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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