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 science

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

What we offer you:

• A full time, permanent AKKODIS contract with an attractive salary package including a company car, insurances, meal vouchers, etc.
• A position where you can grow and develop your career
• A super nice work environment & atmosphere within an international group
• A nice work/life balance with hybrid working model (on site + remote)