Data Scientist

The company and our mission: 

Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact.

Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes.

With engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders.

We are looking for a Senior Data Scientist to work on a project in the reputation risk intelligence industry.

The project:

Our teammates are talented people that come from a variety of backgrounds. We’re committed to building an inclusive culture based on trust and innovation.

You will be part of a small, ambitious team building an AI-native intelligence platform that combines news, social media, advanced AI and data science to help organisations identify emerging narratives, understand what is driving them and respond to reputational risk. Its intelligence layer turns millions of signals into meaningful narratives, reputation scores and actionable insights. You will work alongside the Lead Data Scientist, who provides the overall data science direction, and collaborate closely with Product and Engineering, taking ownership of specific workstreams from problem definition and experimentation through to production delivery.

We are looking for an experienced, hands-on and pragmatic data scientist who combines strong analytical thinking with the engineering skills and judgement to deliver meaningful outcomes, and who can get up to speed quickly, take ownership, work independently and deliver robust, production-ready solutions with measurable impact.

What you will do:

•  Reputation scoring: improve and validate the models powering reputation scores, building rigorous evaluation frameworks to ensure scores are accurate, stable, responsive and explainable.

•  Narrative intelligence: advance how related content is identified and clustered into meaningful narratives, using embeddings, graph-based clustering and human-labelled evaluations to improve accuracy and relevance.

•  AI-powered scoring signals: experiment with and integrate new signals, including LLM-based relevance classification and source credibility, to strengthen the quality of the intelligence.