Hybrid Data Scientist — Chemistry Digitalization & AI

Clariant SE; Łódź; Hybrid; PLN 120,000 - 190,000; Full time

Benefits offered by this job

Language courses

Multisport card

Private health care

Life insurance

Eyeglasses refund

Restaurant discount card

Job summary

Clariant SE in Łódź is seeking a Data Scientist to lead data science projects and apply advanced optimization techniques across chemical processes. You will drive digitalization initiatives, connect data patterns to industrial contexts, and collaborate cross-functionally to deliver impactful data products.

The role emphasizes developing internal capabilities, partnering externally for innovation, and enabling smarter automation with a hybrid work setup in Lodz.

Qualifications

• Master’s or PhD in Chemistry, Chemical Engineering, Mechanical Engineering, Physics, Computer Science, or Biotechnology.
• 3–5 years of self-organized development work in data science or a related field.
• Programming with Python, R, or similar; experience with GenAI or other models; strong foundation in mathematical optimization.

Responsibilities

• Lead and manage data science projects from planning through execution, ensuring delivery within scope, budget, and quality standards.
• Apply process knowledge to interpret results meaningfully and develop solutions grounded in real-world operational context.
• Connect data patterns with chemical processes—understand industrial processes to make a real difference.
• Collaborate cross-functionally to develop complete data products addressing real business challenges.
• Drive data science adoption across the organization.
• Integrate modern data science tools into existing systems and scale solutions effectively.
• Develop internal data science capabilities while fostering external partnerships for continuous innovation.

Skills

Python

R

GenAI

Optimization

Communication

Industry knowledge

Education

Master’s or PhD in Chemistry

Job description

Clariant SE in Łódź is seeking a Data Scientist to lead data science projects and apply advanced optimization techniques across chemical processes. You will drive digitalization initiatives, connect data patterns to industrial contexts, and collaborate cross-functionally to deliver impactful data products.

The role emphasizes developing internal capabilities, partnering externally for innovation, and enabling smarter automation with a hybrid work setup in Lodz.