Data Scientist

Description

As a Data Scientist, you will tackle high-impact business problems by turning complex, large-scale data into scalable analytics and AI solutions. You will design, build, and deploy models - spanning machine learning, optimization/simulation, and emerging Generative & Agentic AI - working closely with product, engineering, and business partners to deliver measurable outcomes.

What you will do

• Frame ambiguous business questions into well-defined analytics/AI problems (hypotheses, success metrics, and evaluation approach)

• Perform exploratory analysis, feature engineering, and model development on large, complex datasets to uncover non-obvious insights

• Design and implement advanced algorithms across machine learning (e.g., tree models, deep learning, reinforcement learning) and Operations Research (optimization, simulation)

• Apply Generative and Agentic AI techniques where they create value (e.g., copilots, intelligent workflows, decision-support systems)

• Partner with Data/AI Engineering to productionize and deploy solutions in cloud environments with strong software engineering practices

• Own solutions end-to-end: problem definition, modeling, validation, deployment, monitoring, and continuous improvement

• Communicate complex results clearly and influence decisions by translating technical work into business impact and trade-offs

• Contribute to a global community of data scientists and engineers - sharing learnings, raising the bar on standards, and mentoring others

Job Qualifications

What we are looking for

• Experience delivering real-world data science and algorithm-based solutions with measurable impact

• Strong programming skills in Python and SQL; comfort working with modern data/compute stacks (e.g., Spark)

• Strong foundations in machine learning, statistics, and experimental thinking

• Knowledge of Operations Research methods (optimization and/or simulation) is a strong advantage

• Familiarity with software engineering best practices (Git, testing, CI/CD) and working in DevOps-style environments is a plus

• Hands-on experience with large datasets and building solutions that can scale to production

• Experience developing and testing in cloud environments (e.g., Azure, GCP) is a plus

• Strong problem-solving skills, curiosity, and the ability to navigate ambiguity

• Collaborative mindset: able to partner across disciplines (engineering, product, business) and independently drive topics end-to-end

• Clear communicator who can explain complex technical solutions to non-technical audiences and drive alignment and action

What we offer

• Competitive salary over 13 months with annual compensation review,

• Yearly bonus based on business unit and company performance,

• Contribution to medical insurance,

• P&G stock purchase program with Company match,

• Attractive Company pension plan (2nd pillar) incl. life and disability insurance,

• Annual Flex Fund of 3,000 CHF gross to support your Wellbeing across a large menu of choices,

• Holidays: 25 days per year with option to purchase up to 2 additional weeks per year.

APPLY NOW!

Apply by clicking on the button below.

Have your CV in English ready to attach (include examples of the challenging experiences you have had both within and outside academia).

Please note individual attachments cannot be larger than 500 KB.

At P&G, we value respect, diversity, and inclusion. We create an equal opportunity environment where everyone has the same access and chance to learn, grow, succeed, and develop. We do not discriminate based on race, religion, color, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected factor.

Our is flexible and accessible to ensure equal opportunity and the ability to start your journey with us. We adapt to your needs from application to interviews. To learn more about the P&G Disability Accommodation process, click .

Job Schedule

Full time

Job Number

R000155037

Job Segmentation

Experienced Professionals