Data Scientist Senior

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 modelling based on business-level problem specifications.   
• Design, select, and implement machine learning models for time-series forecasting, risk modeling, and root cause analysis. 
• Analyze complex, raw data sets to uncover insights that drive meaningful impact for large enterprise clients, ensuring scientific rigor and explainability. 
• Perform deep-dive analyses and design KPIs to guide strategic business decisions and measure outcomes from available data sources, or advocate for pragmatic data engineering to drive analytical products 
• Build, document, and maintain  data products enabling scalable analytics and ML services. 
• Define reporting workflows, dashboard, data visualizations, and experimental designs to systematically evaluate hypotheses pertaiing to business. 
• Translate analytical results into intuitive insights through interactive dashboards (Tableau, PowerBI) or custom web applications. 
• Communicate technical concepts and data-driven recommendations clearly to non-technical stakeholders, including those in financial audit functions. 
• Gather stakeholder requirements, conduct technical due diligence, and design pragmatic, high-impact solutions for financial sector clients. 
• Lead the creation and tracking of project timelines, dependencies, risks, and deliverables. 
• Collaborate with cross-functional teams in banking, credit bureau projects, and financial audit environments to ensure alignment and compliance. 

 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Proven industry experience developing predictive or inferential statistical models OR a Master’s/PhD in  Mathematics, Statistics, Computer Science, or similar quantitative field. 
• 4+ years of experience in data science, data engineering, or analytical roles. 
• Experience implementing statistical and machine learning libraries and applying them effectively to real-world business challenges. 
• Strong proficiency in SQL, Python,  with the ability to interface with each component in the full pipeline from data ingestion to insight.
• Experience with Azure Cloud (Data Lake, Data Factory, Synapse, Databricks, Functions, etc.). 
• Translating compliance requirements to data artifacts and analyses that satisfy reporting requirements and systematize process monitoring. 
• Experience working with financial services, banking, credit bureau data, or financial audit clients. 
• Upper-intermediate English communication skills. 
• Advanced Portuguese communication skills. 

 

Nice to have qualifications  

• Experience working in highly regulated industries (i,e, financial services, healthcare, legal).   
• Proficiency in visualization tools (Tableau, PowerBI) or programmatic libraries (ggplot2, matplotlib, seaborn, Bokeh, D3).  
• Hands-on experience with big data ecosystems (Spark, Hive, Impala, Pig, etc.).   
• Expertise in multi-cloud architecture (AWS, Azure, GCP), with strong preference for Azure. 
• Ability to translate ambiguous business questions into clear technical approaches and actionable insights. 
• Reporting and dashboard development, data storytelling skillset. 
• Experience leading or managing technical data, analytics, or ML projects. 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

 

The benefits  

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

  

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

  

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.