Data Scientist (Mid-Senior)

About our company

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Your role

As a Data Scientist, you will play a pivotal role in contributing to the development and implementation of AI models and algorithms to address complex business challenges. Your key responsibilities will include:

• Taking ownership of data science initiatives and projects, demonstrating a proactive and results-driven approach.
• Analyzing and interpreting complex datasets to extract meaningful insights and providing data-driven recommendations.
• Collaborating seamlessly with multidisciplinary teams to comprehend business needs, designing, and implementing statistical models and machine learning algorithms.
• Leveraging big data technologies and distributed computing frameworks for processing and analyzing large volumes of data, or equivalent cloud computing expertise.
• Developing and deploying predictive models and algorithms in real-world production environments.
• Conducting comprehensive exploratory data analysis, feature engineering, and model validation.
• Effectively communicating finding and insights to both technical and non-technical stakeholders.
• Embracing a data-driven, solution-oriented, and critical mindset, fostering teamwork and collaboration.
   

Your profile

• 2 or more years of experience in data science roles with a focus on statistical modeling, machine learning, and predictive analytics.
• Proficiency in programming languages, including SQL, Python, and distributed/cloud processing framework such as Pyspark.
• Exhibit familiarity with advanced analytics libraries/frameworks such as Tensorflow, Keras, PyTorch, Scikit-learn.
• Robust understanding of statistical analysis, hypothesis testing, and various machine learning techniques.
• Hands-on experience with data visualization tools and libraries such as Seaborn, Matplotlib, or Plotly.
• Proven ability to work with large datasets and experience in distributed computing frameworks, either on-premises or in the cloud.
• Excellent communication skills, enabling effective collaboration within cross-functional teams.
• Analytical mindset, attention to detail, and strong problem-solving skills for addressing complex data challenges.
• Hold a solid academic foundation in a relevant discipline, such as Engineering, Data & AI, or Computer Sciences.
• Familiarity with cloud platforms (Azure, GCP, AWS is a plus)
• Mandatory fluency in English.

What you'll love about working here

• Join a multicultural and inclusive team environment;
• Enjoy a supportive atmosphere promoting work-life balance;
• Engage in exciting national and international projects;
• Hybrid work;
• Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities;
• Training and certifications programs;
• Referral program with bonuses for talent recommendations;
• Great office locations.

Why Capgemini?

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.

Apply now!