Socotec

Socotec

Data Scientist (AI Engineer)

Company

Socotec

Role

Data Scientist (AI Engineer)

Job type

Full-time

Posted

2 months ago

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Salary

Not disclosed by employer

Job description

  • Research and evaluate AI/ML technologies aligned with the company's needs
  • Contribute to the implementation of AI solutions across our IT systems, business applications, and data management processes
  • Collaborate closely with cross-functional teams to enhance our development and reporting capabilities for clients - Identify best practices and provide recommendations for integrating AI to optimize services and improve the customer experience
  • Engineering degree or equivalent in Computer Science, Data Science, or related field
  • Proven expertise in Artificial Intelligence, Machine Learning, and data analytics techniques like regression, clustering, decision trees, neural networks etc.
  • Proficiency in programming languages: Python (Pandas, NumPy, Scikit-Learn)
  • Experience with large language models (GPT, Claude 3), multi agent system and prompt engineering is a plus
  • Experience with databases (SQL)
  • Knowledge of big data tools is a plus (Hadoop, Spark)
  • Familiarity with cloud platforms like AWS, Azure, or GCP
  • Strong analytical, problem-solving and model-building skills
  • Knowledge of the construction/infrastructure sector is a plus
  • Excellent communication and interpersonal abilities
  • Attractive salary and bonus with annual revision 
  • Compulsory insurance pay as gross monthly salary
  • 42 hours per week (30 minute early finish every Friday), flexible working hours options
  • 15 annual leave days (Women) & 13 annual leave days (Men) - increasing with length of service & seniority, 15 working from home days each year
  • Team-building activities, Sport Clubs 
  • Cooperation with colleagues around the world in a leading global group 
  • Strong team spirit in an entrepreneurial environment of a growing company 
  • People values, social responsibility, and sustainability. 
  • Opportunities for self-development and career advancement 
  • Internal training courses (technical, foreign language, soft skills)

 

 

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