Hybrid Data Scientist - AI & Analytics

TechnipFMC; Kraków; Hybrid; PLN 220,000 - 340,000; Full time

Job summary

TechnipFMC in Kraków is seeking a senior data scientist to wrangle diverse datasets, craft data models, and deliver advanced analytics for digital services. You will identify business opportunities, build predictive models, and present insights to cross-functional teams, driving impact across the organization.

The role requires 7+ years in data science or related fields, strong SQL and Python/R skills, and experience deploying AI in cloud environments.

Qualifications

• At least 7 years of experience in data science, data engineering, data analysis, or software development.
• Expert in SQL and shell scripting with strong programming skills in Python and R.
• Experience building predictive models and deploying AI in cloud environments.
• Proven ability to create insightful data visualizations and communicate results.
• Strong data wrangling, data mining, feature engineering, and experimentation capabilities.

Responsibilities

• Wrangle and integrate diverse datasets, architect data models and computing pipelines.
• Discover insights and identify business opportunities through data science.
• Present data insights in a clear, actionable manner to stakeholders.
• Develop and refine models to solve complex business problems.
• Collaborate with development teams to embed analytics in digital services.
• Train stakeholders on data science techniques and analytics best practices.
• Contribute to data strategy and metrics improvements for digital services.

Skills

Data science

Data engineering

Data analysis

Software development

SQL

Python

R

Data wrangling

Machine learning

Visualization

Education

BSc degree

Masters preferred

PhD advantageous

Tools

SQL

Shell scripting

Python

R

Job description

TechnipFMC in Kraków is seeking a senior data scientist to wrangle diverse datasets, craft data models, and deliver advanced analytics for digital services. You will identify business opportunities, build predictive models, and present insights to cross-functional teams, driving impact across the organization.

The role requires 7+ years in data science or related fields, strong SQL and Python/R skills, and experience deploying AI in cloud environments.