At a Glance
- Tasks: Create and enhance intelligent, data-driven models for complex systems.
- Company: Join Intellisense.io, a leader in Scientific Intelligence with an inclusive culture.
- Benefits: Flexible hours, remote work, competitive salary, and opportunities for growth.
- Other info: Supportive environment where your ideas are valued and wellbeing matters.
- Why this job: Make a meaningful impact while solving complex problems with a diverse team.
- Qualifications: Experience in data science, Python skills, and a passion for problem-solving.
The predicted salary is between 28800 - 48000 € per year.
Join Intellisense.io to build the future of Scientific Intelligence. Are you curious, collaborative, and excited by solving complex problems? We are looking for an accomplished Data Scientist 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.
- 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.
Tools & Techniques We Use
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.
Data Scientist in Cambridge employer: IntelliSense.io
At Intellisense.io, we pride ourselves on fostering a truly inclusive and supportive team culture that values collaboration and innovation. As a Data Scientist, you'll enjoy flexible working hours in a remote-first environment, competitive salaries with performance-based growth, and the opportunity to work on meaningful projects that make a real impact. Join us to enhance your skills, share your unique perspective, and contribute to a workplace where your voice is valued and your wellbeing matters.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Cambridge
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Intellisense.io. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just tell us you’re great at data science; show us! Create a portfolio of projects that highlight your problem-solving skills and technical prowess. Share it on platforms like GitHub or your personal website to make it easy for us to see what you can do.
✨Ace the Interview
Prepare for your interview by brushing up on common data science questions and real-world scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate with both technical and non-technical folks at Intellisense.io.
✨Apply Through Our Website
We love seeing applications come through our website! It shows you're genuinely interested in joining our team. Plus, it makes it easier for us to track your application and get back to you quickly.
We think you need these skills to ace Data Scientist in Cambridge
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data science shine through! Share specific examples of projects or problems you've tackled that highlight your love for data and technology. We want to see how you can bring that passion to our team.
Tailor Your Application:Make sure to customise your application to fit the role of Data Scientist at Intellisense.io. Highlight relevant experience and skills that align with the job description. This shows us that you’ve done your homework and are genuinely interested in joining our team.
Be Clear and Concise:We appreciate clarity! When communicating your ideas in your application, keep it straightforward and to the point. Avoid jargon unless necessary, and remember to explain complex concepts in a way that’s easy for everyone to understand.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for both you and us!
How to prepare for a job interview at IntelliSense.io
✨Know Your Data Science Tools
Make sure you’re familiar with the tools and techniques mentioned in the job description, like Python and machine learning methods. Brush up on your knowledge of physical modelling and Bayesian methods, as these could come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using data science. Think about how you’ve worked with messy datasets or developed models that had a real-world impact. This will demonstrate your ability to apply your skills practically.
✨Emphasise Collaboration and Communication
Since the role involves working with diverse teams across time zones, be ready to talk about your experiences collaborating with others. Highlight how you communicate complex ideas to both technical and non-technical audiences, as this is key for success in the role.
✨Be Authentic and Adaptable
Intellisense.io values authenticity and adaptability, so don’t hesitate to share your unique perspective and experiences. If you don’t meet every requirement, explain how your background can still contribute to the team’s goals and your willingness to learn new technologies.
