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- Tasks: Create and enhance data-driven models for complex systems.
- Company: Join Intellisense.io, a leader in Scientific Intelligence.
- Benefits: Enjoy flexible hours, remote work, and a competitive salary.
- Why this job: Work on impactful projects in an inclusive, supportive culture.
- Qualifications: 3+ years experience or a PhD in a relevant field; Python skills required.
- Other info: Open to diverse backgrounds; your ideas and wellbeing matter here.
The predicted salary is between 28800 - 48000 £ per year.
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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 Applied 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. 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.
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Applied Data Scientist employer: IntelliSense.io
Contact Detail:
IntelliSense.io Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science and machine learning. Being able to discuss recent advancements or tools during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Prepare to showcase your problem-solving skills by discussing specific projects where you've tackled complex datasets. Highlighting your experience with messy data will resonate well with the role's requirements.
✨Tip Number 3
Practice explaining technical concepts in simple terms. Since the role involves communicating with both technical and non-technical audiences, being able to convey your ideas clearly will set you apart.
✨Tip Number 4
Network with current employees or alumni from your university who work in similar roles. They can provide insights into the company culture and expectations, which can be invaluable during your application process.
We think you need these skills to ace Applied Data Scientist
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Applied Data Scientist position. Understand the key responsibilities and required skills, so you can tailor your application to highlight relevant experiences.
Highlight Relevant Experience: In your CV and cover letter, focus on your experience with data science, machine learning, and any relevant projects. Use specific examples that demonstrate your ability to solve complex problems and work with diverse teams.
Showcase Your Skills: Make sure to mention your proficiency in Python and any other data science tools you are familiar with. If you have experience with physical modelling or Bayesian methods, be sure to include that as well.
Communicate Your Values: Since the company values inclusion and empathy, reflect these qualities in your application. Share experiences that demonstrate your commitment to teamwork and collaboration, and how you’ve contributed to a positive work environment.
How to prepare for a job interview at IntelliSense.io
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples of complex problems you've solved in the past. Highlight your thought process and the methodologies you used, especially if they relate to data science or machine learning.
✨Demonstrate Collaboration
Since the role involves working with a diverse team, share experiences where you successfully collaborated with others. Emphasise your ability to communicate effectively with both technical and non-technical colleagues.
✨Familiarise Yourself with Relevant Technologies
Research the tools and technologies mentioned in the job description, such as Python, machine learning frameworks, and optimisation methods. Be ready to discuss how you've used these in your previous work or how you plan to learn them.
✨Express Your Passion for Impactful Work
Convey your enthusiasm for using data science to make a meaningful impact. Share your thoughts on how you can contribute to the company's goals and values, particularly around inclusion and empathy in the workplace.
