Simulation & Digital Twin Consultant

Datatech Analytics
UK
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Compensation
£34,000.0
Working hours
Regular working hours

Tech stack

Microsoft Excel Computer Programming Relational Databases Python (Programming Language) Software Engineering SQL Databases Digital Twin Information Technology Data Pipelines

Job description

They’re looking for a Simulation & Digital Twin Consultant (Junior/Entry level individuals are welcomed) to design and develop simulation models, build data pipelines and visualisations, and help deliver impactful client projects. You will be part of a well- established team with senior professionals who can help build your skills and support your professional development.

What You’ll Be Doing

  • Developing high-fidelity simulation and digital twin models
  • Building user interfaces and dashboards
  • Designing data pipelines and relational data models
  • Managing small-to-medium sized projects in an agile environment
  • Presenting technical solutions to technical and non-technical stakeholders
  • Supporting innovation workshops and collaborative problem-solving

Requirements

Essential:

  • BSc in MORSE, Operational Research, Computer Science, Engineering, Mathematics, Statistics, Data or Software Development
  • Strong interest in simulation and digital twin technologies with experience in different simulation techniques from modules completed, personal projects or industry exposure
  • Programming experience in at least one language- Python/R/SQL/Excel etc
  • Strong communication and stakeholder engagement skills Desirable:

  • Experience with AnyLogic, Simio, Simul8, FlexSim or similar tools

Benefits & conditions

Fully remote working Innovative digital twin and simulation projects Strong technical and career development opportunities Collaborative and supportive culture Competitive salary and benefits package

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on datatech.org.uk

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