Senior Data Scientist

Location:

(HEU) Krakow

Job ID:

R0099680

Date Posted:

2025-07-11

Company Name:

HITACHI EUROPE GMBH (GERMANY)

Profession (Job Category):

Data Analytics/Business Intelligence

Job Schedule: 

Full time

Remote:

No

Job Description:

Our Company

Hitachi drives Social Innovation Business, creating a sustainable society through the use of data and technology. We are a climate change innovator, partnering with cities, governments and companies to cut carbon. We are working to connect solutions with the help of Hitachi’s Green Energy and Mobility both physically and digitally to deliver net-zero. The company’s consolidated revenues for fiscal year 2023 (ended March 31, 2024) totalled 8,564.3 billion yen, and approximately 268,000 employees worldwide. For more information on Hitachi, please visit the company's website at https://www.hitachi.com.

We work on challenging data analytics and artificial intelligence projects - both in-house and for clients in various industries. We work with leaders of the financial market: banks and insurance companies. Our solutions are also used by companies in the energy and nuclear, industrial and oil & gas sectors.

What you’ll be doing

If you are looking for a space where you can really use your expertise, work with large data sets, implement advanced ML/AI models and have a real impact on the direction of projects - this is where we come in.

We focus on technology, creativity and agility rather than a rigid corporate structure. We work on interesting implementations, using modern tools, and each team member has an impact on the selection of solutions.

Key Responsibilities:

• Build and implement AI-based models (banking, fintech, energy, industry)

• Collection of requirements and their documentation on the client side

• Managing large volumes of data (processing and data flows)

• Data analysis to identify key predictive variables

• Validation of models in accordance with regulations (e.g. EBA, FSA)

• Collaborate with IT, business analytics and risk teams to integrate models into decision-making systems

• Monitor model performance and periodically calibrate models

• Technical documentation and reporting of results to stakeholders

• Collaborate with global AI teams

What you bring to the team

We are looking for a team player, who is motivated to deliver great work aligning with the Hitachi vision. The ideal candidate is based near Krakow, Upper Silesia for easy commute to Client however we are open for applications with right skills outside these locations.

The ideal candidate will possess the following skills and background:

• Minimum 5 years of experience in Data Science

• University degree in mathematics, statistics, computer science or related field

• Proficiency in Python and SQL languages

• Knowledge of MLOps and Agile methodologies

• Ability to interpret model results and apply them in a business context

• Ability to communicate with non-technical stakeholders

• Knowledge of English to a degree that enables free communication

Nice to have:

• Experience in credit scoring projects

• Ability to develop API systems

• Knowledge of BI tools

• Experience with Big Data tools (e.g. Spark, Hadoop)

• Knowledge of AI risk assessment and model auditing methods

• Knowledge of regulatory issues

Our Values

We are proud to say we are an equal opportunity employer and welcome all applicants for employment without attention to any factor that doesn’t impact your ability to do the job, including race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.  We are proud of Japanese heritage, with our values expressed through the Hitachi Spirit:

Wa – Harmony, Trust, Respect

Makoto – Sincerity, Fairness, Honesty, Integrity

Kaitakusha-Seishin – Pioneering Spirit, Challenge

We are looking for experienced Data Scientists who want to implement innovative products, develop in a team with experts from different fields and have a real impact on the business of our clients. Sound interesting? Let's talk!