Helping to shape the future of Securitas by creating algorithms, models and insights that innovate and improve Securitas' business and operations
Requirements
- Strong proficiency in programming languages, particularly Python and SQL
- Solid experience with AI/ML libraries and tools, including scikit-learn, XGBoost, NLTK or SpaCy, transformer-based models (e.g., via Hugging Face), and OpenAI APIs
- Proficient with Microsoft Office (Outlook, Word, Excel), Adobe
- Skilled in data analysis and data wrangling, with the ability to clean, transform, and interpret complex datasets
- Strong analytical skills to dissect complex problems and formulate them into solvable tasks
- Experience with PowerBI, Dash, or Streamlit is a plus
Responsibilities
- Collaborate with stakeholders to identify and understand business challenges in various domains
- Co-develop and iteratively refine data-driven AI solutions in close collaboration with both business stakeholders and the global AI team
- Design and develop rapid proofs of concept to generate insights, improve efficiency, build momentum, and gain stakeholder trust
- Translate business needs into AI/data science prototypes by understanding data generation processes and business operations
- Communicate findings clearly and effectively to non-technical stakeholders, ensuring alignment and impact
- Work closely with a global team of AI developers and data scientists to leverage their expertise in scaling prototypes into production-ready solutions
Other
- Bachelor's degree in a quantitative field (e.g., statistics, machine learning, mathematics, computer science, economics) preferred, or equivalent practical experience
- 3-4 years of hands-on experience working in a data, statistical modelling or ML role; a consulting background is a plus
- Excellent oral, written communication and time management skills
- Problem solving skills
- Ability to track and maintain assigned project load
