We are seeking a skilled and business-focused Data Scientist to develop in-house AI and Data Science solutions that drive measurable business value and foster AI adoption across the organization. This role is ideal for someone who thrives at the intersection of data, technology, and business strategy.
Tasks
• Identify high-impact business areas where data science can deliver value.
• Analyze large volumes of structured data to uncover insights and opportunities.
• Apply advanced machine learning techniques including supervised, unsupervised learning, forecasting, and deep learning.
• Collaborate closely with business stakeholders to understand functional challenges and communicate solutions in business-friendly language.
• Work independently and in collaboration with external vendor teams to deliver scalable solutions.
• Contribute to the development of a future internal data science team.
Performance Metrics: Success in this role will be measured by the business value generated through data science initiatives and solutions.
Desired Skills, Knowledge, and Experience:
Bachelor’s or master’s degree in information technology, Computer Science, or a related field.
4-6 years of relevant experience
Programming: Proficiency in Python, PySpark, and SQL.
Platforms & Tools: Experience with Azure (preferred) or other cloud platforms.
ML Techniques: Strong grasp of supervised/unsupervised learning, forecasting, and deep learning.
Familiarity with unstructured data processing
Domain Experience: Preferable experience in one or more of the following domains: Manufacturing, Supply Chain, Finance, Logistics.
Additional Skills :
Basic understanding of data warehousing concepts such as star schema, ETL/ELT processes.
Familiarity with data lake or lakehouse architectures.
Visualization skills including exploratory data analysis (EDA), basic dashboard creation for business reporting, and effective communication of model results and insights.
Experience with either Python-based visualization libraries (e.g., Matplotlib, Seaborn, Plotly) or BI tools (e.g., Power BI, Tableau).
Preferred Qualifications:
Azure Data Science certifications or equivalent certifications in tools like TensorFlow.
Exposure to MLOps practices and tools.
We offer:
Being part of a fast-growing, dynamic company, recognized as one of the foremost global packaging manufacturers.
Great professional growth opportunities.
Annual bonus.
Private medical care & insurance plan for you to keep an eye on your health.
MyBenefit program.
Flexible and hybrid work arrangement: We offer a flexible hybrid work model – 2 days a week in the Krakow office, or fully remote if you're located elsewhere.
Parking space for all employees.
Comfortable working environment (library, relaxation area with a view of the Wawel castle and city center, casual dress code).
If you are a current CANPACK employee, please apply through your Workday account.
CANPACK Group is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by law or not related to job requirements, unless such distinction is required by law.
Top Skills
What We Do
We’re CANPACK Group – 8,000 people around the world, with a common goal to push the boundaries of packaging and help our customers dream and deliver on a global scale.
Our company began in Poland over 30 years ago, and since then we’ve grown into a leading global manufacturer of beverage packaging.
Every day, we produce millions of beverage cans, food tins, glass bottles and metal closures at our production sites located on five continents. We create impactful, sustainable solutions that do more – for brands, for businesses, for people and the planet.
We achieve this through empowering every employee to make their mark by sharing ideas and solving problems together. Join us and be part of a collaborative culture that cares about its employees and respects the world around it. Join us and help us Create That Feeling.
