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SME Engineer - Artificial Intelligence & Data Science (F/M/D)

TE Connectivity te.com Open · verified Oct 24, 2026
Szczecin 1 Kablowa Mid-level Data Science

At a glance

Mid-level Data Science role at TE Connectivity. Szczecin 1 Kablowa.

Pay not stated Data Science salary

RoleData Science
SeniorityMid-level
LocationSzczecin 1 Kablowa
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Serve as the AI and data science expert for manufacturing locations around the world
  • Build, test and launch machine learning models for industrial problems
  • Turn production challenges into AI projects, including analytics for quality, maintenance, output and supply chains
  • Connect models with factory execution, industrial IoT, ERP and smart factory systems
  • Coordinate AI rollouts across regions and coach plant teams and junior data scientists

What you bring

  • At least eight years in AI, data science or advanced analytics within manufacturing or industrial settings
  • Deep knowledge of machine learning, deep learning and statistical modeling
  • A track record of delivering AI or machine learning solutions across multiple sites or regions
  • Practical knowledge of manufacturing processes and digital factory initiatives
  • You can work with Python, SQL, machine learning frameworks, cloud services and data visualization tools

Who this fits

This role suits an experienced industrial AI practitioner who can move models into production and guide teams across manufacturing sites. The position is based in Szczecin, Poland.

From the employer

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Why you should join

You will play a key role in shaping how AI transforms global manufacturing operations across Europe, the Americas, and Asia. This is a rare opportunity to move beyond traditional data science and directly impact real industrial processes at scale. You will work at the intersection of advanced AI, smart factory systems, and business transformation, driving measurable operational excellence worldwide.

Your daily tasks:
Act as global SME for AI and Data Science across multiple manufacturing sites
Design, build, validate, and deploy machine learning and AI models for industrial use cases
Identify and translate manufacturing challenges into scalable AI solutions with business stakeholders
Develop predictive and prescriptive analytics for quality, maintenance, yield, and supply chain optimization
Integrate AI models with MES, IIoT platforms, ERP systems, and smart factory ecosystems
Lead cross-regional AI projects and ensure successful deployment into production environments
Mentor plant teams and junior data scientists while promoting global AI best practices


Your ideal background:
8+ years of experience in AI, Data Science, or advanced analytics in manufacturing or industrial environments
Strong expertise in machine learning, deep learning, and statistical modeling techniques
Proven experience delivering AI/ML solutions across multiple sites, regions, or global organizations
Solid understanding of manufacturing processes (e.g., stamping, molding, assembly, plating)
Experience with Industry 4.0, smart factory, or digital manufacturing initiatives
Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Experience working with cloud platforms (AWS or Azure) and data visualization tools (Power BI, Tableau)

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ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.

Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

Our Commitment to Transparent Hiring:
We are pleased to offer you an exciting total package that can also be flexibly adapted to your changing life situation - the well-being of our employees is our top priority!

  • Collaborative and friendly work environment
  • Extensive training and career growth opportunities
  • Life insurance
  • Private medical healthcare package
  • Employee referral bonus
  • Multisport co-financing
  • Performance-based bonus plans

Great hiring starts with honesty, and we mean it.
Our job postings are gender‑neutral, inclusive, and never ask for your past salary. We disclose the full salary range and all pay elements, including how they are calculated, upfront - before any employment decisions are made.
At TE, we believe transparency isn’t a checkbox – it’s part of your experience with us.

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.