Akkodis is looking for a skilled Data Scientist to support high-impact data-driven projects for one of its prominent clients, notably in industrial sectors.

The Data Scientist is responsible for designing, developing, and deploying advanced analytics and machine learning solutions that generate actionable insights across business units at a pan-European level.

The role involves close collaboration with business stakeholders, data engineers, and product teams to translate complex data into scalable analytical solutions.

Role

Analyze, clean, and preprocess large and complex datasets using Python and SQL

Explore data to identify patterns, trends, and opportunities for advanced analytics

Design, develop, and deploy machine learning models including predictive models, recommendation systems, anomaly detection, and optimization algorithms

Apply statistical methods to validate models and interpret results

Perform time series analysis and forecasting for operational and business use cases

Collaborate with data engineers to ensure efficient data pipelines and model deployment

Use platforms such as Dataiku DSS to develop, train, deploy, and monitor models

Visualize data and model outputs to communicate insights clearly to stakeholders

Translate analytical findings into actionable business recommendations

Document models, assumptions, and methodologies to ensure transparency and reproducibility

Contribute to best practices, standards, and continuous improvement in data scienc

Your profile :

Master’s degree in Science, Engineering, Mathematics, Statistics, or related field

Minimum 3 years of professional experience as a Data Scientist

Experience in industrial environments is a strong plus

Strong proficiency in English (written and spoken)

Ability to work in a multi-cultural and international environment

Data Science and advanced analytics

Strong programming skills in Python (pandas, NumPy, scikit-learn, etc.)

Solid SQL knowledge for data exploration and analysis

Machine Learning techniques: supervised and unsupervised learning, recommendation systems, anomaly detection

Statistical analysis and validation methods

Time series forecasting and optimization techniques

Experience with Dataiku DSS (certification required)

Familiarity with cloud data platforms such as Snowflake

Data visualization tools (e.g. Python libraries, BI tools)

Understanding of model deployment and monitoring concepts