Scientific Software Engineer

IntelliSense io; Cambridge; Remote; GBP 50,000 - 80,000; Full time

Job summary

A leading company in Scientific Intelligence is seeking a Scientific Software Engineer to create and enhance data-driven models. The role involves working with diverse teams to solve complex problems using data science and machine learning, suitable for mid-level to senior professionals eager for impactful projects.

Benefits

Flexible working hours

Remote-first environment

Supportive team culture

Opportunities for skill development

Qualifications

• 3+ years relevant experience or a PhD in a related field.
• Comfortable with Python and common data science/machine learning tools.
• Real-world industry experience is strongly preferred.

Responsibilities

• Develop, calibrate, and deploy models to real-world customer problems.
• Work with noisy, limited, or messy datasets to extract insights.
• Collaborate with remote colleagues across time zones.

Skills

Python

Data Science

Machine Learning

Mathematics

Physics

Education

Mathematics, Physics, Computer Science, Engineering or similar

Job description

Social network you want to login/join with:

Join Intellisense.io to build the future of Scientific Intelligence

Are you curious, collaborative, and excited by solving complex problems?

We're looking for an accomplished Scientific Software Engineer who thrives on intellectual challenge, enjoys working with a diverse team, and wants to use their skills to make a meaningful impact. If you love data, science, and technology, and value inclusion and empathy in your work environment, we want to hear from you.

What You’ll Do

You’ll be instrumental in creating and enhancing intelligent, data-driven models that help our customers better understand and optimise complex systems. These may include physical process models or state-of-the-art machine learning tools. Whether you come from academia, industry, or a different path altogether, we value the unique perspective you bring.

You’ll:

Develop, calibrate, and deploy models to real-world customer problems

Work with noisy, limited, or messy datasets to extract insights

Build fast, iterate often, and aim for production-grade quality

Collaborate with remote colleagues across time zones

Communicate ideas clearly to technical and non-technical audiences

Identify new technologies and contribute to innovation

About You

We’re not looking for “perfect” candidates, we’re looking for authentic, driven, and adaptable people. If you don’t meet every requirement, but believe you’d thrive in this role, please apply.

You might be someone who:

Has formal training in Mathematics, Physics, Computer Science, Engineering, or similar

Has 3+ years’ relevant experience or a PhD in a related field

Enjoys diving into hard problems and sharing knowledge with others

Is comfortable with Python and common data science/machine learning tools

Works independently and takes initiative

Cares about doing work that is rigorous, inclusive, and impactful

Is open to learning new technologies or approaches when the task calls for it

Values communication, empathy, and teamwork

Real-world industry experience is strongly preferred, as we’re looking for candidates who can apply advanced methods to practical, high-impact problems and navigate the complexity of real operational environments.

We welcome applications from both mid-level and senior professionals; however, due to the complexity of the role, it may not be suitable for recent graduates, as the successful candidate will be expected to solve complex problems independently and liaise directly with clients when appropriate.

You don’t need to know all of these, but you’ll have a chance to learn and work with:

Physical and empirical modelling of complex systems

Machine learning for prediction and inference

Optimisation and real-time decision engines

Bayesian methods and uncertainty quantification

Collaborative software development and production deployment

What We Offer

A truly inclusive, supportive team culture

Flexible working hours and remote-first environment

Competitive salary with performance-based growth

A chance to work on meaningful, impactful projects

Opportunities to stretch your skills and learn from others

A workplace where your voice is valued, your ideas are heard, and your wellbeing matters

Apply Today

We actively encourage applications from people of all backgrounds. You belong here. Let’s build something extraordinary together.