Senior Data Scientist

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

 

The role  

As a Data Scientist, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 4+ YEARS of experience, a growth mindset and a drive to make a lasting impact.

Ideal candidates will have strong quantitative backgrounds and both academic/formal analytical skills and demonstrated hands-on experience in statistical modelling and information visualization. While they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. Valtech will provide a platform and training to help them reach their full potential. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Design and conduct statistical modeling and analysis based on business-level problem specifications.
• Lead experimentation and A/B testing to systematically evaluate business hypotheses and inform decision-making.
• Perform ad hoc and deep-dive analytics to answer business questions, uncover insights, and identify opportunities for impact.
• Analyze complex, raw datasets with strong analytical rigor and explainability.
• Define KPIs, reporting workflows, dashboards, and data visualizations to measure outcomes and support strategic business decisions.
• Translate analytical results into intuitive insights through interactive dashboards (Tableau, Power BI) or custom web applications.
• Communicate technical concepts, findings, and data-driven recommendations clearly to non-technical stakeholders.
• Partner directly with stakeholders to understand business needs and translate requirements into analyses, experiments, and actionable recommendations.
• Gather stakeholder requirements, conduct tec