iO Associates
Data Scientist - Customer Focus
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Data Scientist - Customer Focus
Data Scientist - Customer Focus
Are you passionate about transforming complex data into actionable insights? Do you thrive on solving real-world operational challenges with innovative analytics? If so, this is an exceptional opportunity to advance your career at a leading organisation that operates at the cutting edge of data science and industrial technology.
Who They Are
Our Client specialises in developing advanced vacuum products and exhaust management systems vital to industries including semiconductor manufacturing and scientific research. With a global presence and a reputation for innovation and quality, they are committed to fostering a culture of trust, continuous learning, and technological excellence.
Working here means contributing to solutions that underpin high-tech manufacturing and industrial processes worldwide.
The Opportunity
As a Data Scientist specialising in a customer-centric approach, you’ll drive a strategic project to optimise equipment performance through data-driven insights, reducing operational downtime for customers. This role combines technical challenges, stakeholder collaboration, and measurable impact—ideal for professionals eager to advance industrial analytics.
Key focus areas:
- Shaping predictive models and analytical solutions with direct value for customers.
- Bringing together technical expertise andResults in practical workflow integration.
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Your Key Responsibilities
- Data Modeling & Predictive Analytics: Develop and refine predictive models to enhance equipment reliability and operational efficiency.
- Customer Collaboration: Partner closely with cross-functional customer teams to rapidly develop and iterate data solutions based on operational insights.
- Solution Integration: Deploy analytics within customer workflows, emphasising usability, reliability, and actionability.
- Operational Support: Address deployment challenges and drive technical improvements informed by real-world data.
- Internal & External Engagement:
- Communicate insights via reports, dashboards, or presentations tailored to technical and non-technical stakeholders.
- Assist in sales and project delivery, engaging with clients and demonstrating analytical solutions.
- Technical Partnerships: Work with Data Engineering, DevOps, and R&D teams to validate, scale, and implement models across diverse environments.
- Process Improvement: Continuously refine analytical workflows, model robustness, and deployment efficiency.
Requirements
Essential
- 2+ years of hands-on experience in data science, analytics, or relevant domains.
- Degree in Data Science, Computer Science, Engineering (any field), Mathematics, Physics, or Chemistry.
- Strong Python proficiency and experience with core data science tools including pandas, NumPy, scipy, statsmodels, or scikit-learn.
- Proven ability to deploy predictive models, especially with time-series or sensor data.
- Solid grasp of cloud platforms (preferably Azure) and familiarity with APIs and production environments.
- Exceptional communication—expertise in translating technical insights to non-experts.
- Ability to thrive in client-facing or consulting roles, with strong collaboration and problem-solving skills.
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Nice-to-Haves
- Background in manufacturing, industrial analytics, or sensor data handling.
- Additional programming languages or analytics tools.
- Prior experience deploying systems in operational environments.
Why Join Our Client?
Be part of a thriving culture that champions accountability, innovation, and trust. Enjoy these benefits:
- Career growth through continuous professional development and progression opportunities.
- The opportunity to contribute to high-impact projects advancing manufacturing efficiency and industrial technology.
- Flexible work arrangements coupled with robust support for overall health, well-being, and work-life balance.
Ready to shape the future at a global technology leader? Submit your CV today and take the next step in data-driven industrial innovation.
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