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Data Scientist confirmé(e) - Spécialiste en Intelligence Artificielle - Job Opportunity at GROUPE ALAINE

Geneva, Switzerland
Full-time
Senior
Posted: July 1, 2025
On-site
CHF 110,000 - 140,000 per year based on senior-level AI expertise requirements, Swiss market standards for data scientists, and Geneva's high cost of living premium

Benefits

International mobility opportunities across group sites enabling cross-cultural experience and expanded professional network
Strategic partnership access with prestigious academic institutions like EPFL for continuous learning and research collaboration
Direct involvement in digital transformation initiatives providing high-visibility career advancement opportunities
Leadership role in AI governance and coordination offering executive-level exposure and strategic decision-making experience

Key Responsibilities

Lead strategic AI project identification and prioritization by collaborating with business and technical teams to align high-impact opportunities with group strategic objectives
Drive digital transformation through development and integration of AI prototypes and products into existing operational processes including TMS and WMS systems
Orchestrate enterprise-wide AI deployment and coordination ensuring synergy across multiple group projects and maximizing organizational impact
Establish performance measurement frameworks to quantify AI project ROI and create strategic roadmaps for continuous evolution and improvement
Champion AI adoption through technology monitoring, internal acculturation programs, and strategic academic partnerships to enhance organizational AI capabilities

Requirements

Education

M.Sc or Ph.D in Data Science, Computer Science, Statistics or Mathematics

Experience

Minimum 5 years of experience in technology project management, with at least 3 years specifically dedicated to AI projects

Required Skills

Excellent mastery of AI technologies: Machine Learning, Deep Learning, NLP, Computer Vision, Generative AI, LLM, RAG systems, Agentic and multi-agent systems Experience in AI integration in MaaS/PaaS/SaaS environments Strong competency in development and API integration Advanced mastery of Python and Data Science libraries Ability to work autonomously while fostering team collaboration Excellent communication skills, ability to simplify technical concepts and transfer knowledge Initiative, coordination skills, and ability to manage change in dynamic environments Excellent French proficiency required, good English fluency
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Sauge AI Market Intelligence

Industry Trends

The transportation and logistics sector is experiencing accelerated digital transformation driven by supply chain disruptions and the need for operational resilience, with AI adoption becoming critical for route optimization, demand forecasting, and resource allocation. Companies are increasingly investing in intelligent transportation systems and autonomous logistics solutions to maintain competitive advantage. Generative AI and Large Language Models are revolutionizing logistics operations through enhanced customer service automation, predictive maintenance systems, and intelligent document processing for customs and regulatory compliance. The integration of RAG systems and multi-agent architectures is enabling more sophisticated decision-making processes in complex logistics environments. The European logistics market is seeing increased regulatory pressure for sustainability and carbon footprint reduction, driving demand for AI-powered optimization solutions that can minimize environmental impact while maintaining operational efficiency. This trend is particularly strong in Switzerland due to stringent environmental regulations and corporate sustainability mandates.

Role Significance

Likely leading a team of 3-5 junior data scientists and AI engineers while coordinating with multiple cross-functional teams across different business units and geographical locations within the group structure
Senior strategic role with significant organizational impact, combining technical leadership with business transformation responsibilities. The position requires autonomous decision-making and serves as a bridge between technical implementation and executive strategy, indicating high organizational trust and visibility.

Key Projects

Enterprise-wide AI platform development for logistics optimization and route planning systems Implementation of intelligent KPI monitoring and automated reporting systems across multiple business units Development of predictive maintenance and resource allocation models for transportation fleet management Creation of customer experience enhancement solutions through AI-powered service optimization

Success Factors

Ability to translate complex AI concepts into business value propositions and secure stakeholder buy-in across diverse organizational levels, from operational teams to executive leadership Strong project management and change management capabilities to navigate the cultural transformation required for AI adoption in traditional transportation and logistics environments Technical depth combined with business acumen to identify high-impact AI use cases that deliver measurable ROI while aligning with strategic objectives Cross-cultural communication skills and adaptability to work effectively across multiple international locations and diverse team structures within the group

Market Demand

Very high demand driven by critical shortage of senior AI specialists in traditional industries undergoing digital transformation, particularly in transportation and logistics sectors

Important Skills

Critical Skills

Advanced AI and machine learning expertise is essential as the role requires development and implementation of sophisticated AI solutions across diverse logistics applications, from route optimization to predictive analytics Strong API development and system integration skills are crucial for connecting AI solutions with existing enterprise systems like TMS and WMS, ensuring seamless operational integration Business acumen and change management capabilities are vital for driving organizational transformation and ensuring successful AI adoption across traditional logistics operations Multilingual communication skills (French and English) are critical for effective stakeholder management across international operations and academic partnerships

Beneficial Skills

Experience with cloud platforms and MLOps for scaling AI solutions across enterprise environments Knowledge of logistics and transportation industry regulations and compliance requirements Background in digital transformation consulting or change management in traditional industries Academic research experience or advanced degrees for effective collaboration with university partners

Unique Aspects

Rare opportunity to lead AI transformation in traditional transportation industry, offering significant visibility and career impact potential
Access to prestigious academic partnerships with institutions like EPFL, providing cutting-edge research collaboration and continuous learning opportunities
International mobility across group sites offering diverse cultural and operational exposure while building comprehensive logistics industry expertise
Strategic role combining hands-on technical development with executive-level coordination and governance responsibilities

Career Growth

3-5 years to senior leadership roles given the strategic nature of the position and rapid growth in AI adoption within traditional industries

Potential Next Roles

Chief AI Officer or Head of Data Science within the group or similar transportation/logistics organizations VP of Digital Transformation leading broader technology initiatives beyond AI Senior AI consultant or principal data scientist at major consulting firms specializing in logistics transformation Founder or co-founder of AI-focused logistics technology startups leveraging industry expertise

Company Overview

GROUPE ALAINE

Groupe Alainé operates as a major player in the transportation and logistics sector with international presence and Swiss headquarters, indicating established market position with significant operational scale and financial stability to invest in advanced AI transformation initiatives

Well-positioned traditional logistics company undergoing strategic modernization, likely competing with both established logistics giants and emerging technology-enabled logistics providers
Strong European presence with Geneva as a strategic hub, suggesting focus on high-value logistics services and international trade facilitation within the European economic zone
Traditional Swiss business culture emphasizing precision and reliability, combined with innovation-driven transformation mindset, offering stability with opportunities for technical leadership and strategic impact
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