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Location
In office (Haarlem)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Jul 1, 2026.

Overview
Company
Impact
Profile match
Teva Pharmaceutical Industries is a global pharmaceutical company headquartered in Tel Aviv, Israel, that develops and sells generic medicines, biosimilars and branded specialty drugs in neuroscience and immunology. Founded in 1901 in Jerusalem, it is one of the largest generic drug makers in the world, with manufacturing and research sites across Europe, North America and Israel and a US base in Parsippany, New Jersey. It hires neuroscience sales specialists, packaging operators, quality control chemists, analytical scientists, supply chain and finance staff, brand managers and IT, data and AI specialists.
Backed by venBio Partners

We Are Teva

We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.

Our Team, Your Impact

As a Machine Learning & External Sensing Engineer, you will develop Machine Learning, AI-agent, and external sensing capabilities focused on predictive forecasting, intelligent automation, and integration of external business signals into Supply Chain decision-making processes.

How You’ll Spend Your Day

  • Develop Machine Learning models integrating external data sources
  • Build forecasting enhancement capabilities using internal and external signals
  • Integrate external indicators into planning and decision-support processes
  • Develop AI agents supporting analytics, simulations, and operational monitoring
  • Support automation of master data integrity and planning consistency checks
  • Develop anomaly-detection and predictive alerting capabilities leveraging external signals
  • Work with IT to industrialize data pipelines and AI services
  • Collaborate with Commercial, Portfolio, Market Intelligence, and Analytics teams to operationalize external sensing capabiliti

Your Skills and Experience

  • 4+ years in Machine Learning / Data Science
  • Strong Python experience
  • Experience with time-series forecasting
  • Experience integrating structured and unstructured external data sources
  • Knowledge of Supply Chain or Demand Planning processes
  • Experience with cloud-based analytics or AI environments

Also Good to Have

  • Experience with Pharma datasets
  • Exposure to AI agents / LLM-based automation
  • Experience working with SAP planning ecosystems
  • Experience with external sensing, signal detection, or predictive analytics environments

How We’ll Take Care of You

At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community. When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.

Already Working @Teva?

Make sure to apply through our internal career site on Twist-your one-stop shop for career development

Teva’s Equal Employment Opportunity Commitment

Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

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