Simulation & Data Science Presales Lead

Join Our Team as a Simulation & Data Science Presales Lead

Do you have a Chemical Engineering degree and proven experience applying AI or machine learning to simulation, modelling, or optimization systems? Are you passionate about solving engineering problems using digital technology and confident presenting your ideas to both technical and non-technical audiences?

This role is right for you if you have:

- A Chemical Engineering degree

- Practical AI/ML experience applied to engineering simulation or optimization

- Strong communication and client-facing skills

- A desire to help shape the future of engineering software through AI

At KBC (A Yokogawa Company), we’re looking for a Simulation & Data Science Presales Lead to join our Global Technology Pre-Sales Team. This is a unique opportunity to promote advanced solutions in Oil & Gas and Refining, helping customers improve operations and move toward net-zero goals.

About KBC

KBC (A Yokogawa Company) is a global leader in energy and process optimization. We combine industry experience with powerful simulation, AI, and data science tools to help customers across refining, petrochemical, and energy sectors improve performance and sustainability. Since 1979, our work has helped prevent over 400 million tonnes of CO₂ emissions—and we’re just getting started.

What You’ll Do

- Act as a trusted technical advisor to clients during the sales process by delivering demos, pilots, and tailored proof-of-concept models.

- Use a combination of first-principles simulation and AI/ML techniques to solve engineering challenges.

- Present simulation results, predictive models, and digital twin concepts clearly to both technical and executive audiences.

- Work closely with sales, product, and engineering teams to match customer needs with solutions.

- Respond to RFPs, support bid processes, and participate in technical evaluations to gain customer trust.

- Provide feedback to guide product innovation based on customer input and industry trends.

What We’re Looking For

Experience & Education:

- Bachelor’s or Master’s in Chemical Engineering (or closely related field) — this is essential.

- 3+ years’ experience in process modelling, simulation, or data science within Oil & Gas, Refining, or Petrochemical industries.

- Proven experience applying AI or machine learning techniques to simulation, modelling, or optimization systems.

Technical Skills:

- Hands-on experience with Aspen HYSYS, Petro-SIM, gPROMS, Modelica, or Python-based simulation tools.

- Proficiency with data science and analytics tools such as Python, pandas, Power BI, or Plotly.

- Demonstrated ability to apply AI or ML to simulation or engineering problems.

Soft Skills:

- Ability to explain complex technical topics to non-technical audiences.

- Experience supporting sales or business development is a plus.

- Background in presales, technical consulting, or solution engineering preferred but not required if you have customer-facing engineering experience.

Additional Skills (not essential):

- Experience with digital twins, advanced process control, or real-time optimization.

- Knowledge of OT/IT integration such as PI System, SCADA, or DCS.

- Familiarity with cloud platforms and industrial data infrastructure.

Why You Should Apply

- Be part of a global team leading innovation in industrial AI and simulation.

- Help clients reduce emissions, optimize operations, and achieve sustainability goals.

- Flexible remote working with opportunities.

- Grow your career in a company that values learning, innovation, and global mobility.

- Competitive salary, bonus, and benefits.

Ready to Make a Difference?

If you’re a chemical engineer with AI experience eager to work with clients and advance engineering software, this role is for you.

👉 Apply now via the Yokogawa careers portal.

KBC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.