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Requisition ID: 98728 Job Category: Digital Location: Katowice, Slaskie, Poland Join a company that is passionately c...

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Selected role

Senior Data Scientist - AI Advanced Analytics

Hatch Katowice, SL, PL

$98k Senior Full-time

Requisition ID: 98728

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.

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 advanced analytics, machine learning, and AI to unlock real-time insights, improve productivity, reduce emissions, and enhance profitability.

Hatch is seeking a highly motivated and accomplished Senior Data 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 developing, deploying, and scaling advanced analytics and AI solutions across industrial operations and enterprise value chains.

The successful candidate will be responsible for:

Digital and AI Solution Development and Deployment

Design, develop, and validate ML/AI models for online industrial applications including predictive maintenance, process optimization, anomaly detection, forecasting, computer vision and prescriptive analytics.
Apply methodologies including supervised/unsupervised learning, deep learning, reinforcement learning, and application of large language models where appropriate to solve tough industrial challenges.
Develop robust data pipelines and feature engineering frameworks to transform raw operational data into actionable insights.
Translate complex analytical findings into practical recommendations aligned with operational and business objectives.
Collaborate with process engineers, data engineers, control specialists, and IT/OT teams to deploy machine learning models into production environments, and integrate models with enterprise and operational systems, dashboards, and decision-support tools.
Support end-to-end lifecycle from problem framing and data exploration through model development, validation, deployment, performance monitoring, continuous support and improvement.

Client Engagement & Value Realization

Partner with clients to identify high-impact analytics use cases and quantify value potential.
Conduct data-driven opportunity assessments and proof-of-value (PoV) studies to demonstrate measurable business impact.
Communicate insights and recommendations effectively to technical, operational, and executive stakeholders.
Support change management and adoption initiatives to ensure sustainable implementation of AI solutions.

Technology and Capability Development

Contribute to the growth of Hatch’s advanced analytics and AI capabilities through development of reusable frameworks, accelerators, and best practices.
Stay current with emerging trends in data science, AI, and industrial analytics, bringing innovative approaches to client challenges.
Contribute to technical publications, white papers, conference presentations, and internal knowledge-sharing initiatives.

Experience and Skills Important for the Role

Advanced degree (MSc or PhD preferred) in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or related field.
3+ years of experience applying advanced analytics, machine learning and AI in mining and metals, energy, infrastructure, or asset-intensive industrial sectors. Experience in computer vision, Vision AI, and application of LLM/LVM is highly desirable.
Strong proficiency in Python, with experience in libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, Scipy, seaborn, matplotlib, etc.
Experience deploying models into production using modern data platforms (e.g., Databricks) and MLOps practices, including model monitoring and CI/CD pipelines, is highly desirable.
Solid understanding of statistical modeling, time-series analysis, experimental design. Expertise in mathematical optimization techniques and tools such as CPLEX, Gurobi, FICO-Xpress is considered an asset.
Experience working with large-scale industrial datasets, including time-series process data and sensor data.
Knowledge of data engineering concepts, including SQL, ETL processes, APIs, and cloud platforms (Azure, AWS, or GCP).
Familiarity with industrial IT/OT environments and data historians (e.g., PI systems), real-time data integration, control systems, instrumentation, P&ID and cybersecurity considerations is an asset.
Proven ability to frame ambiguous business problems into structured analytical approaches and communicate complex technical concepts clearly to non-technical stakeholders.
Multilingual capability in English, Spanish, and/or Portuguese is an asset, particularly for collaboration across global 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.

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