Senior Data Scientist at Prosus

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

26 Dec, 25

Salary

0.0

Posted On

27 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Generative AI, Natural Language Processing, Computer Vision, Data Science, Problem Solving, Cloud Platforms, Collaboration, Innovation, Entrepreneurial Mindset, Thought Leadership, Operational Efficiency, Project Management, Statistical Analysis, AI Technologies, Multimodal Capabilities

Industry

technology;Information and Internet

Description

Who we are At Prosus, we improve everyday life for billions across the globe through cutting-edge technology. As a leading global consumer internet group and one of the world's largest technology investors, we nurture and support industry-leading businesses that empower individuals and enrich communities. Guided by our core values, Innovation, Results, People, Impact, and Entrepreneurship, we push boundaries, encourage collaboration, and create an environment where diversity and inclusion thrive. We value curiosity, ownership, and resilience. We hire people who take initiative, embrace change, and bring fresh perspectives to everything they do. We are proud to lead the charge in AI innovation, making significant strides in this transformative field. With operations in over 100 countries, our extensive global portfolio includes over 90 companies. We drive progress in sectors such as online classifieds, food delivery, payments & fintech, and e-commerce , consistently pushing the boundaries of technology. Our brands, like iFood, OLX, PayU, EMAG, and Takealot, are changing the way people live and work. About Prosus AI Team At Prosus, we are at the forefront of integrating generative AI into diverse applications across our portfolio including food delivery, e-commerce, classifieds, and online payments. Our team, based in Amsterdam, collaborates globally with experts in over 40 countries to enrich the experiences of our two billion-plus customers. Our current focus is on leveraging foundational models to develop generative AI solutions and autonomous agents that set new standards in user interaction and operational efficiency. About the Role As a Senior Data Scientist specializing in Generative AI, you will lead the development and deployment of innovative AI models that leverage text and multimodal capabilities to address core business challenges. Working alongside cross-functional teams, you’ll drive projects from conceptualization to deployment, focusing on enhancing customer interactions and operational efficiency through advanced AI technologies. This position will be based in our Amsterdam office. \n Key Responsibilities Lead and collaborate with teams to build high-quality and effective ML solutions that can be integrated and scaled into products. Define and meet ambitious impact goals where ML can make a difference. Explain and provide advice on machine learning applications to a diverse set of stakeholders (thought leadership). Lead experimentation with emerging technologies, accelerating the adoption of new tools and ideas. Collaborate with our global community of 500+ data scientists on end-to-end ML projects. Shape the use of next-generation ML technologies in the products we build for our hundreds of millions of customers. Minimum Qualifications Master’s degree in AI, Computer Science, Mathematics, Statistics, or a related field. At least 6 years of experience in a data science role with a proven track record of successful projects. Excellent problem-solving skills and the ability to work independently on complex tasks. Solid understanding of machine learning algorithms and principles, and the ability to apply them effectively to solve complex problems. Prior exposure to NLP, computer vision, or other specialized ML fields. A real passion for AI and machine learning: you are able to share it and motivate others! Preferred Qualifications PhD degree in AI, Computer Science, Mathematics, Statistics, or a related field. Direct experience in developing and deploying large language models (LLMs) and other generative AI applications. Experience in a multinational business environment and the ability to handle projects involving teams from diverse cultural backgrounds. Experience with cloud platforms, particularly AWS, and familiarity with their data science ecosystems. Personal Attributes You like exploring, prototyping in uncharted territory for machine learning applications. You are an independent thinker with entrepreneurial mindset: curious and continuously searching for new knowledge and opportunities, able to make the most of an unconstrained work environment. You are results oriented, self-motivated, organized, disciplined. You enjoy developing thought leadership in machine learning and finding ways to improve your overall skill set. You are eager to learn new tools. You take ownership of your work and are proactive in getting things done with a team. What We Offer Opportunity to work on a variety of machine learning problems across different business contexts globally. A collaborative, supportive environment where innovation and initiative are encouraged. Opportunities for professional growth and advancement. A diverse, inclusive workplace where we ensure all voices are heard and valued. \n Our Diversity & Inclusion Commitment We respect the dignity and human rights of individuals and communities wherever we operate in the world. Building an inclusive workplace where everyone feels welcome and can thrive is critical for us. We provide access to education, which helps everyone understand the important role they play and the positive impact they can have. For a deeper look at our journey and future plans, explore our latest Annual Report. Stay up to date with our latest news to see what makes Prosus stand out. Learn more at www.prosus.com.

Responsibilities

Lead the development and deployment of innovative AI models to address core business challenges. Collaborate with cross-functional teams to enhance customer interactions and operational efficiency through advanced AI technologies.