Senior Data Scientist

techhub; Bordeaux; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Office Porto

Annual bonus

Health insurance

Meal allowance

Employee discount

Learning & development

International exposure

Supportive culture

Résumé du poste

Pepco is building its Tech Hub in Porto and is seeking a Senior Data Scientist to design and deliver advanced analytics and AI solutions that drive measurable value across Europe.

You will partner with senior leaders across commercial, merchandising and operations to develop production-grade ML models, govern analytics, and mentor colleagues, in a hybrid setting with an emphasis on impact and collaboration.

Qualifications

• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 10+ years of experience in data science, advanced analytics or applied machine learning.
• Proven experience delivering end-to-end, production-grade ML solutions at scale with measurable business impact.
• Background in retail, e-commerce or other consumer-facing environments.
• Strong experience translating business challenges into analytical solutions, working directly with senior stakeholders.
• Hands-on experience across the full model lifecycle, including experimentation, deployment and MLOps practices.
• Experience working with cloud platforms and large-scale data environments.
• Ability to communicate complex insights in a clear, business-oriented way and influence decision-making.
• Strong business acumen, with a clear focus on value creation.
• Experience collaborating across teams and mentoring others.
• Strong problem-solving mindset and hands-on approach.
• Ability to work in an international and fast-paced environment.
• Fluent English – you will work daily with international stakeholders.
• Clear communication and team collaboration.

Responsabilités

• Partner with senior business leaders across commercial, merchandising, supply chain and marketing to identify strategic opportunities for analytics.
• Lead the development of predictive models, machine learning solutions and analytic frameworks for retail challenges.
• Design scalable analytic products for demand forecasting, price optimization, customer segmentation, personalization, promotions and assortment.
• Translate modelling outputs into clear business insights and recommendations for senior management.
• Guide experimentation and tests including A/B and causal inference to validate hypotheses.
• Ensure robustness, explainability and governance of analytical models aligned with data and AI standards.
• Collaborate with data engineers to operationalise models and integrate into data products and platforms.
• Mentor data scientists and analysts within the team.
• Contribute to the organisation’s AI roadmap and identify new capabilities.
• Act as trusted advisor to stakeholders on data-driven decision making and practical AI applications.
• Drive measurable business impact from deployed models (revenue, margins, costs, engagement).
• Foster cross-team collaboration and continuous learning.

Connaissances

10+ years data science

End-to-end ML

Python

MLOps

Cloud platforms

Business impact focus

Stakeholder communication

Retail experience

Mentoring

Fluent English

Problem solving

Formation

Master's degree in Data Science or related field

Description du poste

Build. Test. Deliver. Enjoy at Pepco!

About the role

At Pepco, we’re growing fast and building our Tech Hub in Porto to support our business across Europe. We are looking for a Senior Data Scientist to join the team. In this role, you will design and deliver advanced analytics and AI solutions that drive measurable commercial and operational value, translating business priorities into scalable analytical products and owning their full lifecycle from ideation to deployment and value realisation. If you like things simple, practical and with real ownership, you’ll fit right in.

What you’ll be doing

• Partner with senior business leaders across commercial, merchandising, supply chain, and marketing to identify strategic opportunities for advanced analytics and AI.
• Lead the development of predictive models, machine learning solutions, and advanced analytical frameworks addressing complex retail challenges.
• Design scalable analytical products supporting use cases such as demand forecasting, price optimisation, customer segmentation, personalisation, promotion effectiveness, and assortment optimisation.
• Translate complex modelling outputs into clear business insights and recommendations, influencing decision-making at senior management level.
• Guide experimentation and test-and-learn approaches including A/B testing and causal inference to validate business hypotheses.
• Ensure robustness, explainability, and governance of analytical models, aligning with enterprise data and AI standards.
• Collaborate with data engineers and platform teams to operationalise models and integrate them into enterprise data products and digital platforms.
• Mentor and provide technical guidance to data scientists and analysts within the team.
• Contribute to the development of the organisation’s advanced analytics and AI roadmap, identifying new capabilities and opportunities for innovation.
• Act as a trusted advisor to business stakeholders on data-driven decision making and the practical application of AI in retail.
• Ensure measurable business impact from deployed models, such as revenue growth, margin optimisation, cost reduction or improved customer engagement.
• Contribute to the development and prioritisation of the organisation’s advanced analytics and AI roadmap.

What we’re looking for

• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Further academic or industry certifications in AI/ML or data science are an advantage.
• 10+ years of experience in data science, advanced analytics or applied machine learning
• Proven experience delivering end-to-end, production-grade ML solutions at scale with measurable business impact
• Background in retail, e-commerce or other consumer-facing environments
• Strong experience translating business challenges into analytical solutions, working directly with senior stakeholders
• Solid expertise in Python, statistical modelling and machine learning techniques
• Hands-on experience across the full model lifecycle, including experimentation, deployment and MLOps practices
• Experience working with cloud platforms and large-scale data environments
• Ability to communicate complex insights in a clear, business-oriented way and influence decision-making
• Strong business acumen, with a clear focus on value creation
• Experience collaborating across teams and mentoring others
• Strong problem-solving mindset and hands-on approach
• Ability to work in an international and fast-paced environment.
• Fluent English (mandatory) – you will work daily with international stakeholders
• Clear communication and team collaboration

What we offer

• Hybrid model: 2 days remote / 3 days onsite
• Office based in Porto. Location: https://maps.app.goo.gl/Nn7hc6uYrmPiT8Fc9
• Competitive salary and annual bonus
• Health insurance from the month after joining
• Meal allowance
• Employee discount in Pepco stores in Portugal
• Learning and development opportunities
• International exposure and collaboration across markets
• A simple, down-to-earth culture where people support each other

About Pepco

Pepco is one of Europe’s fastest-growing retail companies, with thousands of stores and millions of customers visiting us every month. Behind that growth, there’s a team of people who make things happen. We keep things simple, we focus on results, and we support each other to get there. At Pepco, no two days are the same. And that’s exactly how we like it.

Interested? Apply now and be part of building something new in Porto!