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We are seeking a strategic and technically strong Data Scientist to support high-impact analytical initiatives across finance, strategy, pricing, and commercial functions. This role works directly with the Head of Strategy, and senior commercial leaders to shape business decisions through rigorous analytics, AI-driven insights, and a deep understanding of complex product and channel environments. The ideal candidate brings a blend of technical excellence, business acumen, and the ability to influence outcomes across a diverse set of stakeholders.
Job Responsibility:
Serve as a core analytical partner to the CFO, Head of Strategy, and commercial leadership, helping define analytical priorities and shaping strategic decision-making
Translate evolving business needs into robust analytical plans, ensuring clarity around objectives, data requirements, and expected impact
Develop predictive models, segmentation frameworks and optimization analyses to support financial planning, portfolio strategy, and commercial performance
Build and refine scalable analytics workflows in SQL and Google BigQuery, ensuring high-quality data pipelines and efficient processing of large datasets
Apply AI and machine learning techniques to automate processes, enhance decision-making, and unlock new insights across pricing, customer behavior, and product performance
Conduct deep-dive analyses into revenue drivers, product mix, elasticity, promotions, and customer/segment profitability
Support revenue management or growth initiatives by identifying leverage points for price optimization, margin enhancement, sales acceleration, and product strategy
Evaluate performance across complex or configurable product portfolios, ensuring insights account for multivariate product and commercial structures
Synthesize analytical findings into clear, concise narratives tailored for executives and commercial teams
Help build a data-driven culture by elevating analytical standards, sharing best practices, and improving access to insights
Requirements:
5+ years in data science, advanced analytics, revenue management, pricing analytics, or growth-focused analytical roles
Deep expertise in SQL and Google BigQuery, with hands-on experience managing large, complex datasets
Proven track record partnering with finance leaders, strategy leaders, or senior commercial executives
Strong business judgment with the ability to proactively identify high-value analytics and AI opportunities
Experience with complex product portfolios, configurable/custom products, or multi-category commercial environments
Hands-on experience implementing AI-driven methods within data science workflows
Excellent communication skills with the ability to align technical insights to business priorities
Nice to have:
Experience with pricing analytics, elasticity modeling, promotional analysis, or revenue optimization
Prior work in growth, revenue strategy, commercial analytics, or similar functions
Proficiency in Python, R, or comparable languages for advanced modeling
What we offer:
Bonus target range: 25%
Generous benefits package
A company culture that prioritizes internal development and professional growth