Senior Data Scientist

Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging

technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across

the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services.

With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted

business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided

by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their

operations and protect what matters most - their people and assets.

At Securitas, our colleagues show up every day to help keep communities and organizations safe. Our job in the AI team is to make

sure they're equipped with the best tools and intelligence possible.

We are Securitas' Specialized AI Team - the internal center of excellence for advanced, custom AI. We don't work on generic tools

or off-the-shelf solutions. We build the AI capabilities that require deep technical and domain expertise, and that directly move

the needle on how Securitas operates at scale.

You will be a key technical voice in a small, focused team - someone who shapes how we approach problems, not just solves them.

You'll lead the design, development, and production deployment of ML and GenAI solutions that turn raw data into actionable

intelligence across a range of real-world problems.

Python · PyTorch · LLMs (OpenAI, Gemini, Claude, open-source) · RAG pipelines, Hugging Face · Python analytical tools (DuckDB,

polars, Pandas, and more) · Streamlit & Dash · Claude Code · GitHub Copilot · React · Databricks · Docker · SQL/NoSQL · Azure/GCP

• Owning the architecture of LLM-powered pipelines that extract structure and insight from large volumes of unstructured text,

such as incident reports, operational logs, client data.

• Designing and stress-testing end-to-end GenAI architectures (e.g. RAG), prompt strategies, and evaluation frameworks -

relevance, faithfulness, hallucination rates, latency tradeoffs - and setting the bar for what "good" looks like on the team.

• Building and productionizing workforce management models - demand forecasting, shift scheduling optimization, and attrition

modeling - that help deploy officers more effectively.

• Advanced NLP experience and hands-on work with LLMs at a level beyond prompt experimentation - fine-tuning, evaluation,

deployment.

• A rigorous approach to GenAI evaluation: you've built frameworks to measure output quality, catch failure modes, and make

principled tradeoffs with full lifecycle thinking.

• Experience with MLOps fundamentals: deployment, serving, and monitoring of models, CI/CD, Docker, application and service

logging, and reproducible pipelines.

• Using modern AI coding tools to work as a highly productive data scientist - rapidly exploring ideas, writing and refactoring

code, and debugging faster while keeping a critical eye on outputs.

The role is open for candidates based in Malmö or Stockholm (with preference for applicants in Malmö). It's a hybrid working

model.

At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from

all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and

we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of

skills and development opportunities.