Machine Learning & External Sensing Engineer
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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.
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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.
Job details
How this role compares
Computed from every other active Manufacturing & CMC role in our database, not just this employer's listings.
We currently track 2469 comparable Manufacturing & CMC roles across 164 biopharma companies.
Salary context
654 of 2469 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 2469 comparable roles
+ 53 more countries
Seniority mix
1064 of 2469 peers have a known seniority level
Therapeutic area mix
7 of 2469 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
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How we calculate "similar"
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.