Data Scientist

Ascent People Ltd; Nottingham; On-site; GBP 100,000 - 125,000; Full time

Job summary

An innovative engineering firm based in Nottingham seeks an Engineering Analyst to enhance condition-monitoring technology. You will develop analytical models, analyze sensor data, and collaborate with cross-functional teams. Essential qualifications include a degree in Mechanical Engineering and strong skills in Python and structural dynamics. This full-time role offers opportunities to work on cutting-edge projects in a rapidly growing company.

Qualifications

• Degree in Mechanical Engineering or equivalent required.
• Strong background in structural dynamics and fatigue analysis necessary.
• Proficiency in Python essential for data analysis.

Responsibilities

• Develop and implement analytical models for structural health.
• Analyze large datasets for engineering insights.
• Collaborate with teams to ensure platform integration.

Skills

Python for engineering and data‑analysis tasks

Strong background in structural dynamics

Experience with large datasets from sensor systems

Excellent communication skills

Familiarity with signal‑processing

Experience with finite‑element analysis (FEA) tools

Exposure to cloud‑based data platforms

Education

Degree in Mechanical Engineering or equivalent

Tools

Git

Docker

Databricks

Job description

Are you an engineer with a passion for data‑driven problem solving and structural analysis? I’m working with an innovative company at the forefront of condition‑monitoring technology. They’re looking for a technically‑skilled Engineering Analyst to join their growing team and help develop cutting‑edge analytics that improve the safety and efficiency of complex engineering systems.

Responsibilities

• Develop and implement analytical models to monitor structural health, performance and loads.
• Analyze large datasets from sensors, simulations and operational logs to uncover valuable engineering insights.
• Translate core engineering principles into data‑driven algorithms and analytical tools.
• Collaborate with product, analytics and software teams to ensure seamless platform integration.
• Train and validate models using both experimental and real‑world operational data.
• Contribute to technical documentation, system monitoring and client‑facing reports and visualisations.

What you’ll need

• Degree in Mechanical Engineering or equivalent (Aerospace Engineering, Applied Physics or related field).
• Strong background in structural dynamics, fatigue analysis and materials behaviour.
• Proficiency in Python for engineering and data‑analysis tasks.
• Experience working with large, complex datasets, particularly from sensor systems.
• Familiarity with signal‑processing, time‑series analysis or machine learning.
• Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders.
• Experience with SCADA systems, strain gauges, accelerometers or similar structural‑health‑monitoring technologies.
• Familiarity with finite‑element analysis (FEA) tools and interpreting simulation results.
• Exposure to cloud‑based data platforms and software tools such as Git, Docker or Databricks.
• Experience with condition monitoring systems across various engineering sectors.

Why this role & company

These projects combine your mechanical‑engineering expertise with modern data analytics, offering a collaborative environment where your technical skills directly advance condition‑monitoring technology and infrastructure. Following a major private‑equity investment last year, the company is experiencing significant growth with substantial backing for new technology, team expansion and product development.

Employment Information

• Seniority level: Mid‑Senior level
• Employment type: Full‑time
• Job function: Analyst, Engineering and Information Technology
• Industries: Data Infrastructure and Analytics, Engineering Services and Software Development
• No sponsorship available; full UK working rights required.