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Software Engineer: Statistics and Machine Learning

SIEMENS

Romsey

Hybrid

GBP 50,000 - 75,000

Full time

2 days ago
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Job summary

A leading technology firm in Romsey is looking for a Software Engineer specializing in Statistics and Machine Learning (C++). The successful candidate will enhance the company’s data analytics portfolio through development and innovation. Candidates should possess a Bachelor's degree in a relevant field and have at least 4 years of C++ experience. With a hybrid work model, this role offers flexibility and the opportunity for diverse contributions within a progressive team.

Benefits

Flexible working hours
Comprehensive benefits package
Opportunities for career advancement

Qualifications

  • Minimum 4 years of experience writing high quality C++ code for enterprise applications.
  • Understanding higher level mathematical and statistical research papers and implementing algorithms.
  • Familiarity with statistical, econometric time series, machine learning.

Responsibilities

  • Work within the development team to extend and expand statistical and machine learning capabilities.

Skills

C++ programming
Statistical algorithms
Machine learning
Problem-solving
Teamwork
Communication skills

Education

Bachelor’s degree in mathematics/physics/computer science
Master’s or PhD in mathematical discipline

Tools

Matlab
Python
R
SAS
Job description
Software Engineer: Statistics and Machine Learning (C++)

Job ID: 490502

Posted since: 26-Jan-2026

Organization: Altair Engineering Limited – Digital Industries

Field of work: Research & Development

Experience level: Experienced Professional

Job type: Full-time

Work mode: Hybrid (Remote/Office)

Employment type: Permanent

Location(s): Romsey, United Kingdom

About the role

Work within the development team to extend and expand upon the extensive statistical, time series and machine learning capabilities of our data analytics portfolio.

What you’ll bring
  • Bachelor’s degree in mathematics, physics, computer science or other numerical technical discipline
  • Minimum 4 years of experience writing high quality C++ code for enterprise applications
  • Understanding higher level mathematical and statistical research papers and implementing those algorithms or methods in robust and scalable manner
  • Logical problem‑solving approach and ability to clearly communicate the situation and proposed solutions to the wider team
  • Familiarity with statistical, econometric time series, machine learning or other mathematical algorithms and their uses
  • Master’s or PhD degree in mathematical discipline
  • Minimum 6 years of experience in a software engineering or research environment is a plus
  • Cross‑platform development experience
  • Experience with other programming languages in the data analytics and numerical space (Matlab/R/Python/SAS language)
  • Highly self‑motivated to learn
  • Commercial awareness & attention to detail
  • Logical problem‑solving skills, ability to demonstrate solutions coherently
  • Excellent interpersonal and teamworking skills
  • Good oral and written communication skills in fluent English
  • Self‑motivation and strong organizational skills
Working at Siemens Software

Siemens is not the same manufacturing company as the past. We are helping our customers get to tomorrow faster through innovation and digitalization and are transforming alongside them. We are a modern, forward‑looking software company, with the opportunities of a large corporation, where your opportunities are endless. The role you apply for today is only the first step in your Siemens journey.

Working at Siemens Software means flexibility – choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards.

We are diverse, show respect and believe everyone deserves an opportunity. Flattening hierarchies, celebrating individual contributions, expressing different ways of thinking and embracing flexibility to respect life beyond work.

Siemens. Making real what matters

If you want to make a difference – make it with us!

#DISWSIM

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