We help make your world a safer place
We are looking for an experienced Data Scientist to join our Securitas AI team as we shape the future of Securitas. By joining the AI team, the algorithms, and models you create will be used to improve Securitas’ business and how we operate and are organized. Above all, your work will impact the way our 370 000 employees help make your world a safer place.
Securitas vision is to become the Intelligent Protective Services Partner through being client centric, data driven, and people focused. Our protective services help make your world a safer place. Securitas Digital is a global business unit that aims to position Securitas as the security industry’s technology & client experience leader. Based on an established innovation capability, we accelerate our digitalization and client experience journey by focusing on Securitas’ digital products and services.
The role as a Senior Data Scientist
Are you a Data Scientist looking to join a team of talented individuals who are pushing the boundaries of AI to make a real impact on the safety and well-being of communities and organizations? Look no further than Securitas Digital, AI department!
As a member of our team, you will have the opportunity to design, implement, deploy and maintain state-of-the-art AI solutions that enhance our digital products and services.
With cutting-edge technologies within Natural language processing and Generative AI you'll create tools that deliver business value. You will communicate with business stakeholders to present key insights, explain the analytical models, and support them by providing information to improve decision-making and drive change.
Join us in pushing the boundaries of AI and making a real impact on the safety and well-being of communities and organizations.
We believe you have:
Machine Learning: Passion for data science, machine learning, AI and a few years of experience from building and maintaining systems of machine learning models in production environments, providing tangible value. To set yourself for success you need a combination of skills such as problem-solving, handling and understanding large data sets, knowledge in statistics and software development. You can translate business needs into technical solutions.
Advanced NLP Expertise: Proven experience in developing and implementing NLP algorithms, models, and techniques. Strong understanding of language modeling, classification, and related NLP tasks. Experience in applying large language models to enhance text-based applications, emphasizing prompt engineering and application of Retrieval-Augmented Generative (RAG) models is an advantage.
Proficiency in Python with a focus on software engineering best practices for data science applications.
- Experience with code deployment, documentation, solution design, testing, and collaborative coding is essential.
- Hands-on experience with open-source Python framework such as Streamlit or Dash to create interactive and impactful data tools.
Deployment and DevOps:
Hands on experience in building machine learning models, deploying and maintaining them in a production platform.
- Experience using Docker, setting up CI/CD pipelines, and working in a multiuser environment.
- Familiarity with Databricks for big data analytics and collaborative data science workflows is highly desirable.
Data Processing and Analysis: Strong analytical and problem-solving skills with the ability to think critically and creatively to solve complex data challenges. Expertise in processing and analyzing large-scale datasets and developing robust data preprocessing pipelines to clean, preprocess, and transform raw text data into appropriate formats for model training.
Project Management and Soft Skills: Strong project planning skills, effective stakeholder management, and excellent communication skills with the ability to deliver compelling demos and presentations. Leadership and mentoring skills are a prerequisite for this senior role.
Collaborative Team Player: Proven ability to foster a collaborative and inclusive team environment, encouraging open communication, knowledge sharing, and cross-functional collaboration. Demonstrated commitment to building a positive team spirit, supporting team members, and actively contributing to a cohesive and dynamic work culture.
Education and Experience:
- Degree in a relevant field such as Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.
- Minimum of 5 years of professional work experience in data science.
What we offer:
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 a multitude of 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.
If it all sounds good to you, don’t hesitate and apply!