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Data Science Principal - Job Opportunity at Metyis AG

Amsterdam, Netherlands
Full-time
Senior
Posted: June 10, 2025
On-site
EUR 85,000 - 120,000 annually based on Amsterdam market rates for senior data science consulting roles with 8-12 years experience, potentially reaching EUR 130,000+ with performance bonuses and equity participation typical in fast-growing consultancies

Benefits

Direct interaction with senior stakeholders providing strategic influence and visibility
Leadership role as go-to expert for end-to-end data processes establishing domain authority
International team exposure in fast-growing consultancy environment
Collaborative work environment with highly skilled multidisciplinary experts
Creative freedom and intellectual autonomy in solution development
Long-term partnership model providing job stability and career continuity

Key Responsibilities

Drive strategic client relationships and business transformation through regular senior stakeholder engagement
Lead comprehensive data lifecycle management from acquisition through visualization and business impact
Orchestrate team development of data management pipelines, visualization tools, and automated analytics services
Translate complex business challenges into actionable analytics solutions with measurable outcomes
Provide executive-level project management oversight ensuring client satisfaction and deliverable quality
Serve as strategic advisor to client business leadership on data-driven decision making
Identify and pursue business expansion opportunities beyond current project scope
Mentor junior team members while directing overall team performance and professional development

Requirements

Education

Master (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. econometrics, AI, mathematics, physics, and other exact sciences)

Experience

+8 years of consulting experience or relevant industry experience, with at least 3+ years at a project lead level

Required Skills

Sharp thinking ability to be able to quickly differentiate major contributors from irrelevant details and to hierarchically structure information residing in the data under analysis Robust knowledge of statistical concepts Expertise with analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python) Data visualization tools (e.g. Tableau, PowerBI) Machine learning expertise Understanding data engineering solutions Proven ability to manage projects with expert team members Ability to provide inspiring guidance to juniors in the team Excellent communication skills, especially to explain complex analytical concepts in non-technical terms to business users
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Sauge AI Market Intelligence

Industry Trends

The data science consulting market is experiencing unprecedented growth as organizations across industries accelerate digital transformation initiatives, creating strong demand for senior-level practitioners who can bridge technical expertise with business strategy. This trend is particularly pronounced in European markets where regulatory compliance and data governance requirements are driving sophisticated analytics implementations. Principal-level data science roles are evolving from purely technical positions to strategic business advisors, reflecting the maturation of the data science field and increasing recognition of data as a core business asset. Organizations are seeking professionals who can not only build models but also drive organizational change through data-driven insights. The consulting industry is experiencing a shift toward long-term partnership models rather than project-based engagements, as clients recognize the need for sustained data science expertise to maintain competitive advantage in increasingly data-driven markets.

Role Significance

Typically leading teams of 4-8 data scientists and analysts across multiple concurrent projects, with matrix management responsibilities spanning junior analysts to senior data scientists, requiring strong delegation and coordination skills in a fast-paced consulting environment.
This is a senior leadership position combining individual contributor excellence with significant people management and client relationship responsibilities. The role sits at the intersection of technical expertise and business strategy, requiring the ability to influence C-level stakeholders while maintaining hands-on involvement in complex analytics projects.

Key Projects

Enterprise-wide data platform implementations spanning multiple business units Advanced analytics solutions for customer segmentation and personalization Predictive modeling initiatives for risk management and operational optimization Real-time analytics and automation systems for digital commerce platforms Regulatory compliance analytics for financial services and healthcare sectors

Success Factors

Ability to rapidly assess complex business environments and translate strategic objectives into actionable analytics roadmaps while managing multiple stakeholder expectations Strong technical foundation combined with exceptional communication skills to bridge the gap between technical teams and business leadership Proven track record in consultative selling and relationship management to identify expansion opportunities and drive client satisfaction Leadership capabilities to inspire and develop junior team members while maintaining high-performance standards in demanding client environments Adaptability to work across diverse industries and rapidly changing business requirements typical in consulting environments

Market Demand

Very high demand driven by digital transformation acceleration, regulatory compliance requirements in European markets, and scarcity of senior professionals who combine deep technical expertise with proven client management and team leadership capabilities

Important Skills

Critical Skills

Advanced statistical knowledge and machine learning expertise form the technical foundation essential for credibility with both technical teams and sophisticated clients who expect cutting-edge solutions. The ability to quickly differentiate signal from noise in complex datasets directly impacts project success and client satisfaction. Exceptional communication skills for translating technical concepts to business stakeholders represent perhaps the most valuable and rare combination in the market, as many technical experts struggle with executive-level communication while business professionals lack deep technical understanding. Project management and team leadership capabilities are essential for managing complex multi-stakeholder engagements typical in consulting environments, where success depends on coordinating diverse expertise while maintaining client relationships and project timelines.

Beneficial Skills

Data engineering knowledge becomes increasingly valuable as organizations move beyond proof-of-concept analytics to production-scale implementations requiring robust infrastructure and automated processes Industry-specific expertise in regulated sectors like financial services or healthcare provides competitive advantage and premium positioning opportunities Cloud platform certifications and modern analytics tool expertise enhance marketability and enable delivery of contemporary solutions that meet client expectations for scalable, cost-effective implementations

Unique Aspects

Combination of hands-on technical leadership with senior client relationship management, providing rare dual-track career development
Focus on end-to-end data lifecycle management rather than specialized analytics roles, offering comprehensive skill development across the data science value chain
International consulting exposure in fast-growing firm providing entrepreneurial experience alongside established professional services career path
Emphasis on long-term client partnerships creating opportunity for sustained impact and relationship building rather than transactional project work

Career Growth

Progression to director-level roles typically occurs within 3-5 years with strong performance, while C-suite transitions may require 5-8 years of additional experience building strategic business acumen and organizational leadership capabilities

Potential Next Roles

Director of Data Science or Analytics Practice Lead within consulting firms Chief Data Officer or VP of Analytics roles in mid-to-large enterprises Independent consulting practice founder specializing in data science strategy Partner track positions in management consulting firms with data science focus

Company Overview

Metyis AG

Metyis AG operates as a global consulting firm specializing in data analytics, digital commerce, and marketing solutions with a focus on long-term client partnerships rather than traditional project-based engagements. The company positions itself as a forward-thinking organization that combines technical expertise with strategic business advisory services across multiple industries.

Metyis appears to be a mid-tier consultancy with international presence, competing in the space between large management consulting firms and boutique analytics specialists. Their emphasis on long-term partnerships and 'Partners for Impact' branding suggests a strategy focused on deep client relationships rather than broad market coverage.
The Amsterdam location positions this role at the heart of European business activity with access to multinational corporations and growing tech sector, providing exposure to diverse industries and regulatory environments that enhance professional development opportunities
The company emphasizes collaborative, creative work environment with intellectual freedom and encouragement for professional growth, typical of consulting firms seeking to attract top-tier talent in competitive markets. The diverse, international team structure suggests exposure to varied perspectives and global business practices.
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