Senior Data Science Developer

Capgemini Engineering

Capgemini Engineering, a leader in providing engineering services, consists of a global team dedicated to unlocking potential through digital and software innovation. This role is pivotal in developing cutting-edge data science solutions, where no two days are the same, offering a unique opportunity to contribute to transformative projects.

In this role you can expect to have the responsibilities:

• Conduct data exploration and preprocessing to ensure data quality.
• Develop methodologies to extract insights from various datasets.
• Train and optimize AI/ML models using statistical techniques.
• Utilise predictive analytics and statistical models for decision-making.
• Stay updated on data science advancements.
• Mentor junior team members.
• Document AI/ML pipelines and data workflows.

This role comes with the following benefits:

• Accredited Great Place to work for Wellbeing 2024.
• Access to wellbeing apps like Thrive and Peppy.
• Opportunities for training and development with access to 250,000 courses.
• Involvement in thinktanks and hackathons.

This role requires you to have:

• 5+ years of experience in data science.
• Proficiency in data wrangling and preprocessing.
• Experience with data science libraries like NumPy and scikit-learn.
• Ability to lead projects independently.
• Expertise in statistical modeling and data analytics.

You would benefit from having:

• Experience with big data technologies such as Hadoop and Spark.
• Familiarity with cloud platforms like AWS, GCP, or Azure.
• MSc or PhD in Computer Science, Data Science, or related field.

Building an inclusive work environment is a priority, welcoming diversity across all spectrums. Comprehensive security clearance checks will be required for the role.