AI/ML Scientist

Requisition ID: 101203

Job Category: Digital

Location: Katowice, Slaskie, Poland

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 infrastructure, our 10,000 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 locally. Are 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.

We're 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.

Scope of Position

Hatch develops digital and AI solutions across the Metals, Energy, and Infrastructure sectors to enable operational safety, efficiency, value chain optimization, and real-time process control and automation. Our clients are accelerating investments in data platforms, industrial IoT, cloud-native architectures, IT/OT integration, and AI-enabled applications to unlock real-time insights and improve operational performance.

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 modeling, control and 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 Hatch’s 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:

• Bachelor’s or advanced degree in Engineering, Data Science, Applied Mathematics, Operations Research, or related field. A degree in Chemical Engineering, Metallurgical Engineering, Mining Engineering, or a related discipline with a specialization in Process Control, Advanced Process Control (APC), Optimization, or Industrial AI is considered a significant asset.

• 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:

• Experience operationalizing AI/ML solutions using modern data platforms and MLOps practices (e.g., Databricks, MLflow, etc.)

• 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.

• Multilingual capability in English, Spanish, and/or Portuguese, particularly for collaboration across global project teams and client operations.

Why join us?

• Work with great people to make a difference
• Collaborate on exciting projects to develop innovative solutions
• Top employer

What we offer you?

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

Don't meet every single requirement? You don't need to. At Hatch, we are building a diverse, inclusive workplace that fosters innovation. If you're interested in this role, we encourage you to apply even if your past experiences don't perfectly align with the skills we've listed.

We're 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. We'll do our best to meet your needs in accordance with applicable local legislation.