Remote Industrial Engineer - Data Analytics & Optimization

Placements24

Greater London

Hybrid

GBP 70,000 - 90,000

Full time

46 hours ago
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Benefits offered by this job

Health insurance
Home office stipend
Flexible hours
Global impact projects

Job summary

Placements24 is seeking a forward-thinking Remote Industrial Engineer specializing in Data Analytics & Optimization. This fully remote role leverages data to drive improvements across industrial operations, analyzing large datasets, developing predictive models, and implementing data-driven strategies to enhance efficiency and productivity.

The role offers opportunities to shape operational strategies from anywhere, collaborating with international teams and driving innovation on a global scale.

Qualifications

  • Master's degree in a quantitative field such as Industrial Engineering, Data Science or Statistics.
  • 5+ years of industrial engineering experience with a focus on data analytics and optimization.
  • Proficiency in Python, R and SQL for data analysis.
  • Experience with data visualization tools (Tableau/Power BI) and statistical software.
  • Strong understanding of optimization, simulation modeling and ML concepts.
  • Excellent remote communication, presentation and problem-solving skills.

Responsibilities

  • Collect, clean, and analyze large datasets from various industrial processes and systems.
  • Develop and implement statistical models and machine learning algorithms for process optimization and predictive maintenance.
  • Design and build interactive dashboards and reports to visualize KPIs and insights.
  • Collaborate remotely with teams to translate data findings into actionable recommendations.
  • Identify trends, patterns, and root causes of inefficiencies and propose data-driven solutions.
  • Stay updated with advances in data analytics, AI, and industrial engineering best practices.

Skills

Data analytics
Optimization
Machine learning
Data visualization
Remote communication

Education

Master's degree in Industrial Engineering, Data Science, Statistics

Tools

Python
SQL
R
Tableau
Power BI

Job description

About the Role

Our client is seeking a forward‑thinking Remote Industrial Engineer specializing in Data Analytics & Optimization . This is a fully remote position where you will harness the power of data to drive significant improvements across our client's industrial operations. Your responsibilities will include analyzing vast datasets, developing predictive models, and implementing data‑driven strategies to enhance efficiency, reduce costs, and boost overall productivity. This role offers an exceptional opportunity for an analytical engineer to shape operational strategies from anywhere, contributing to innovation and continuous improvement on a global scale.


Key Responsibilities


  • Collect, clean, and analyze large datasets from various industrial processes and systems.

  • Develop and implement statistical models and machine learning algorithms for process optimization and predictive maintenance.

  • Design and build interactive dashboards and reports to visualize key performance indicators (KPIs) and operational insights.

  • Collaborate remotely with operational teams and stakeholders to translate data findings into actionable recommendations.

  • Identify trends, patterns, and root causes of inefficiencies and propose data‑informed solutions.

  • Stay updated with the latest advancements in data analytics , AI, and industrial engineering best practices.


Requirements


  • Master's degree in Industrial Engineering , Data Science, Statistics, or a related quantitative field.

  • Minimum of 5 years of experience in industrial engineering, with a strong focus on data analytics and optimization.

  • Proficiency in programming languages commonly used for data analysis (e.g., Python, R) and database querying (SQL).

  • Experience with data visualization tools (e.g., Tableau, Power BI) and statistical software.

  • Solid understanding of optimization techniques, simulation modeling, and machine learning concepts.

  • Excellent remote communication, presentation, and problem‑solving skills, regardless of location relative to East London .


Benefits


  • Highly competitive salary for a remote role, commensurate with experience.

  • Comprehensive health, dental, and vision insurance coverage.

  • Generous allowance for home office setup and professional development.

  • Flexible working hours promoting work‑life balance.

  • Opportunity to work on challenging projects and contribute to impactful operational improvements globally.

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