Data Scientist

Job description / Role

The Data Scientist will be responsible for collecting, analyzing, and interpreting large datasets to help businesses make data-driven decisions. This role involves using statistical, analytical, and programming skills to develop data solutions tailored to meet the organization's unique needs.

• Proficiency in programming languages like Python
• Skills in handling and analysing large datasets, including data cleaning, wrangling, transformation, and exploratory data analysis (EDA) using tools like pandas.
• Knowledge of statistical concepts such as hypothesis testing, regression analysis, ANOVA, experimental design, and probability theory.
• 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 visualisation 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 can be advantageous.
• Proficiency in version control systems like Git is crucial for effective collaboration and code management.

About the Company

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.