RESPONSIBILITIES & TASKS:
Data Exploration and Analysis
Perform exploratory data analysis on enterprise datasets to identify trends, patterns, anomalies, and opportunities.
Develop analytical frameworks to support operational, commercial, and strategic decision-making.
Translate business problems into analytical questions, hypotheses, and measurable outcomes.
Predictive and Prescriptive Analytics
Develop predictive, classification, forecasting, segmentation, recommendation, and optimization models.
Build statistical models to support business planning, resource allocation, and performance improvement.
Conduct scenario modelling, sensitivity analysis, and what-if analysis to guide management decisions.
Evaluate model effectiveness, explain results, and assess business impact.
AI and Machine Learning
Collaborate with AI/ML Engineers to operationalize models into reliable production solutions.
Support experimentation with Generative AI, Agentic AI, and advanced analytics use cases.
Business Intelligence and Executive Insights
Prepare executive-level insights, recommendations, dashboards, and presentations.
Develop reports and visualizations that clearly communicate business performance and analytical findings.
Support KPI definition, measurement frameworks, and value realization tracking for AI and analytics initiatives.
Data Governance and Quality
Promote high-quality, trusted, and responsible data usage across analytics and AI activities.
Support the establishment of data standards, data definitions, and governance practices.
Monitor data quality and ensure analytical outputs are based on fit-for-purpose data.
Ensure compliance with privacy, regulatory, and information security requirements.
Research and Innovation
Evaluate emerging analytics and AI technologies, modelling techniques, and business applications.
Identify new opportunities to create competitive advantage using data, analytics, and AI.
SKILLS & QUALIFICATIONS:
Minimum 6 years of experience in Data Science, Advanced Analytics, Business Analytics, Statistics, or related disciplines.
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline.
Experience delivering business insights through data analysis, developing predictive and machine learning models, and engaging directly with business stakeholders.
Technical Skills
Python
R desirable
SQL
Machine learning
Statistics and experimental design
Forecasting techniques
Data visualization and storytelling
Power BI or equivalent BI tools
Snowflake or modern cloud data platforms
Data modelling and feature engineering
About Us
Skills Required
- Minimum 6 years of experience in Data Science, Advanced Analytics, Business Analytics, Statistics, or related disciplines.
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline.
- Experience delivering business insights through data analysis, developing predictive and machine learning models, and engaging directly with business stakeholders.
- Python
- R
- SQL
- Machine learning
- Statistics and experimental design
- Forecasting techniques
- Data visualization and storytelling
- Power BI or equivalent BI tools
- Snowflake or modern cloud data platforms
- Data modelling and feature engineering
What We Do
Fujifilm has been evolving and transforming for more than 80 years. Building from our legacy of innovation in photographic film, today's Fujifilm is a technology company impacting the fields of healthcare, materials, business innovation and imaging. We will continue creating value from innovation, leveraging our advanced and unique technologies to solve social changes. We will never stop building our experience and expertise to transform ourselves and the world. To ensure a positive and respectful environment for all, we have established the community guidelines for participation: https://www.fujifilm.com/de/en/socialmedia/policy
