Senior Data Scientist

Discover your potential 
Do you have the desire to develop and deliver sustainable solutions for the mining industry, taking on some of the world’s biggest challenges in the process? If yes, you will fit right into our culture. We count on people who are innovative, who challenge conventions and who drive success for us and our customers. We seek passionate employees who excel in collaboration and innovation. Together we carry a brand of excellence, committed to a more sustainable world for all. 

Contribute to a better future in a professional and global environment that allows you to discover your full potential. 

Department

The position is in the Architecture, Data & AI department, part of the FLS IT organization. We are the internal business partner for end-to-end data solutions and analytics expertise.

Our purpose is to provide our company with a best-in-class data and analytics function that drives innovation and growth through data democratization, data visualization and advanced analytics, including machine learning (ML) and artificial intelligence (AI). We are seeking a Senior Data Scientist to join our Data Science team. The ideal candidate will possess a blend of technical expertise, a passion for AI, and a drive to deliver cutting-edge solutions. 

Your responsibilities

• Develop end-to-end data science solutions, from scoping in close collaboration with business stakeholders and SMEs, through data exploration, validation, feature engineering, exploring and validating different ML models and bringing the solution in production-ready state following our IT best practices.

• Understand the domain (be it business or engineering) to provide tailored Data Science solutions to our internal customers. 

• Take ownership of Data Science solutions and their improvement. 

• Ensure maintenance and operation of productionized models. 

• Participate in PoCs exploring Data Science approach to solve business challenges or find application of cutting-edge technologies in the industry.

• Be a trusted advisor to business in their data challenges. 

What you bring

• Strong background in statistical and data mining techniques.

• Proven experience in applying ML and data science to business functions such as logistics, manufacturing, customer journey analytics, quality assessment, production automation, warehouse logistics, process control, etc. 

• Demonstrated ability to execute end-to-end significant data science projects. 

• Experience in coaching team members and providing training. 

• Proficiency in Python and/or other programming languages.

• Passion for high-quality code and following best practices in software development. 

The following experience will be considered a plus: 

• Experience with GenAI 

• Experience with MLOps, setting up CI/CD and Github actions 

• Experience with orchestration technologies and containerization (Docker, Kubernetes) 

• Knowledge of transfer learning, synthetic data, and federated machine learning to enhance project outcomes. 

• A/B testing, bias and fairness assessments, and stress-testing.

Education Qualification

Bachelor’s or Master’s degree in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field with a specialization in ML, AI, cognitive science, or data science. 

Experience

5+ years of relevant experience in data science 

What we offer

As a global company, FLSmidth offers a global network of supportive colleagues and growth opportunities across the organisation. They have built a culture of honesty, trust and transparency. Work-life balance is important to FLSmidth, enabling you to focus on professional and personal priorities. They also offer the flexibility of remote work when needed. As an equal opportunity employer, FLSmidth embraces diversity and equality by promoting an environment of inclusion. They encourage applicants of all backgrounds and perspectives to apply – the more diverse their employees are, the stronger their team is.

As an equal-opportunity employer, FLSmidth embraces diversity and equality by promoting an environment of inclusion. We encourage applicants of all backgrounds and perspectives to apply – the more diverse our employees are, the stronger our team is.

In our commitment to equal opportunity and eliminating bias, we kindly request that you exclude personal information such as age, ethnicity, number of children, and photograph from your application materials.

Kindly note that we will review applications and interviewing actively, so please apply as soon as possible.

We will contact candidates via email. 

No recruiters and unsolicited agency referrals please.