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Poland | AIML Scientist

Hatch


Job Location:

Katowice - Poland

Monthly Salary: Not provided by the employer
Posted: 26 August 2026 (Yesterday)
Application Deadline: 23 November 2026
Vacancies: 1 Vacancy

Job Summary

Requisition ID:100133

Job Category:Digital

Location:KatowiceSlaskiePoland

Join a company that is passionately committed to the pursuit of a better world through positive change. With more than 70 years of business and technical expertise in mining energy and infrastructureour 10000 colleagues in 150 countries tirelessly work toward bettering the industries in which we operate. With practical solutions that are safe innovative and sustainable we think globally while acting you looking for an opportunity to join a diverse group of professionals who are committed to remaining exceptional We look forward to hearing from you.

Were at the forefront of our clients digital transformation journey successfully implementing emerging digital services into our clients projects and operations that unlock a step change in their performance. Join the team to improve project outcomes leverage the digital twin deliver systems integration and interoperability and support decision-making autonomous execution and integrated operations and performance centers.

Hatch is seeking a highly motivated AI/ML Scientist to join our Digital team in Katowice Poland. Reporting to the Global Director of Analytics and Decision Solutions this role will play a critical part in piloting developing deploying and scaling advanced analytics and AI solutions across industrial operations and enterprise value chains.

The successful candidate will be responsible for:

Model Development and Deployment:
  • Design develop validate and deploy AI/ML models for industrial applications including predictive maintenance process optimization anomaly detection forecasting computer vision and prescriptive analytics.
  • Apply advanced AI and machine learning methodologies including supervised and unsupervised learning deep learning reinforcement learning optimization techniques and large language models (LLMs) where appropriate to solve complex industrial challenges.
  • Develop robust data pipelines feature engineering workflows and analytical frameworks to transform raw operational and process data into actionable insights and production-ready solutions.
  • Translate complex analytical findings into practical recommendations aligned with operational goals and business objectives.
  • Collaborate closely with process engineers data engineers control specialists and IT/OT teams to deploy AI and machine learning solutions into production environments and integrate models with enterprise systems operational platforms dashboards and decision-support tools.
Delivery Excellence and Technology Development:
  • Partner with clients and internal teams to identify high-value AI opportunities and quantify business impact and value potential.
  • Conduct data-driven opportunity assessments proof-of-value (PoV) studies and rapid prototyping initiatives to demonstrate measurable business outcomes and communicate insights effectively to internal and external stakeholders.
  • Support the end-to-end AI lifecycle from problem definition and data exploration through model development validation deployment monitoring and continuous improvement.
  • Contribute to the growth of Hatchs AI and advanced analytics capabilities through the development of reusable frameworks accelerators methodologies and best practices.
  • Stay current with emerging trends and technologies in artificial intelligence machine learning optimization and industrial analytics bringing innovative approaches to client challenges.
  • Contribute to technical publications conference presentations white papers and internal knowledge-sharing initiatives.
Experience and Skills Important for the Role:
  • Bachelors or advanced degree in Data Science Statistics Computer Science Engineering Applied Mathematics Operations Research or related field.
  • Strong proficiency in Python including experience with scientific and machine learning libraries such as scikit-learn TensorFlow PyTorch XGBoost SciPy Matplotlib and related tools.
  • Solid understanding of machine learning and statistical modeling concepts including time-series analysis feature engineering optimization experimentation and model evaluation techniques.
  • Experience applying advanced analytics AI and machine learning techniques within mining and metals energy infrastructure manufacturing or other asset-intensive industrial sectors. Experience with computer vision Vision AI and LLM/LVM applications is considered a strong asset.
  • Experience working with industrial-scale datasets including process historian data sensor data operational datasets and time-series data.
  • Working knowledge of data engineering and MLOps concepts including SQL APIs ETL/ELT workflows cloud platforms (Azure AWS or GCP) and model deployment practices.
  • Strong communication and collaboration skills with the ability to work effectively across multidisciplinary teams and rapidly learn and apply new technologies and concepts.
  • Ability to frame ambiguous business challenges into structured analytical approaches and communicate complex technical findings effectively to technical and non-technical audiences.
  • The following experience and skills are considered strong assets:
  • Familiarity with industrial IT/OT environments including data historians (e.g. AVEVA PI System) real-time data integration control systems instrumentation P&IDs and industrial cybersecurity considerations.
  • Experience with mathematical optimization techniques and tools such as CPLEX Gurobi FICO Xpress or similar optimization frameworks.
  • Experience operationalizing AI/ML solutions using modern data platforms and MLOps practices (e.g. Databricks MLflow CI/CD pipelines model monitoring and lifecycle management).
  • Multilingual capability in English Spanish and/or Portuguese particularly for collaboration across global project teams and client operations.

Why join us



What we offer you

  • Flexible work environment
  • Long term career development
  • Think globally work locally

Dont meet every single requirement You dont need to. At Hatch we are building a diverse inclusive workplace that fosters innovation. If youre interested in this role we encourage you to apply even if your past experiences dont perfectly align with the skills weve listed.

Were committed to fostering a workforce that reflects the diversity of the communities in which we operate and serve. Hatch is an Equal Opportunity Employer that considers applicants without regard to age race color national origin citizenship religion creed gender sexual orientation marital status disability veteran or any other protected status. If you have any accommodation requirements please let us know. Well do our best to meet your needs in accordance with applicable local legislation.


Required Experience:

IC


About Company

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Hatch is an employee-owned, multidisciplinary professional services firm that delivers a comprehensive array of technical and strategic services, including consulting, information technology, engineering, process development, and project and construction management to the Mining, Meta ... View more

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