At a Glance
- Tasks: Join the Frontier team to solve complex problems and deliver AI-powered solutions.
- Company: Innovative company focused on shaping the future of decision intelligence.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Other info: Work in a dynamic environment with cross-functional teams and high career growth potential.
- Why this job: Make a real impact by combining science with business in an entrepreneurial role.
- Qualifications: Senior-level experience in data science, proficiency in Python, and strong statistical foundation.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- You have senior-level experience in data science or quantitative research.
- You’re proficient in Python and essential libraries (NumPy, Pandas, scikit-learn), plus familiarity with a deep-learning framework (e.g., TensorFlow, PyTorch).
- You possess a strong foundation in statistics and mathematics.
- You’re experienced across the full data science toolkit—including supervised/unsupervised learning, time-series, Bayesian methods, and model validation—and can develop new algorithms when needed.
- You bring a leadership mindset centred on technical excellence, team growth, and a collaborative culture.
- You exhibit scientific rigor and a business-focused approach: translating problems into technical strategies and measuring model impact.
- You’re product-oriented, deeply understanding user needs and how Frontier can deliver value to them.
- It would be great if you had experience building and evaluating agents using eval-driven development (although not a must-have).
- If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don’t hesitate in applying as you might be right for this role, or other roles.
What the job involves
- Join the Frontier team to shape the future of our Decision Intelligence Platform by delivering AI-powered digital twins that elevate organisational decision-making.
- As a Senior Data Scientist, solving highly complex and consequential problems and helping enterprise users interact with cutting-edge AI. This is a unique, entrepreneurial role where you will drive real value by combining scientific rigor with a business-focused approach to advance our AI Agent and Decision Hub capabilities.
- Designing and building agents in high-consequence environments, where outputs need to be validated to a high standard.
- Performing exploratory data analysis, model building, validation, and performance monitoring.
- Leading data science efforts within cross-functional delivery teams—partnering with engineers, designers, and product leads for successful outcomes.
- Understanding deeply core customer problems to ensure technical solutions drive real value.
- Translating real-world problems into technical strategies and measuring model impact with scientific rigor.
Senior Data Scientist (Frontier) in London employer: Deepstreamtech
At Frontier, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous learning opportunities and a focus on technical excellence, allowing our Senior Data Scientists to thrive in a dynamic environment. Located in a vibrant tech hub, we offer unique advantages such as access to cutting-edge resources and a network of industry leaders, making it an ideal place for those looking to make a meaningful impact in AI and decision intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (Frontier) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, machine learning, or any deep-learning frameworks. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common data science interview questions and even doing mock interviews with friends or mentors to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who are excited about the role. If you think you’ve got what it takes, go ahead and submit your application – you might just be the perfect fit!
We think you need these skills to ace Senior Data Scientist (Frontier) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your senior-level experience in data science and your proficiency in Python and its libraries. We want to see how you’ve used these skills in real-world scenarios, so don’t hold back!
Be Specific About Your Experience:When discussing your experience with algorithms and model validation, be specific! We love details about the projects you've worked on and the impact they had. This helps us understand how you can contribute to our team.
Emphasise Collaboration:Since this role involves working closely with cross-functional teams, let us know about your collaborative experiences. Share examples of how you’ve partnered with engineers, designers, or product leads to achieve successful outcomes.
Don’t Be Shy!:If you’re excited about the role but don’t meet every single requirement, go ahead and apply anyway! We value enthusiasm and unique strengths, so tell us what makes you a great fit for the Senior Data Scientist position.
How to prepare for a job interview at Deepstreamtech
✨Brush Up on Your Technical Skills
Make sure you're comfortable with Python and its essential libraries like NumPy, Pandas, and scikit-learn. Be ready to discuss your experience with deep-learning frameworks such as TensorFlow or PyTorch, as well as your understanding of various data science techniques like supervised/unsupervised learning and Bayesian methods.
✨Showcase Your Problem-Solving Mindset
Prepare to share examples of how you've translated complex problems into technical strategies in previous roles. Highlight your ability to measure model impact and demonstrate scientific rigor in your work, as this will resonate well with the interviewers.
✨Emphasise Collaboration and Leadership
Since this role involves leading cross-functional teams, be ready to discuss your leadership experiences. Talk about how you've fostered a collaborative culture and contributed to team growth, showcasing your mindset centred on technical excellence.
✨Understand User Needs and Business Value
Research the company’s products and think about how your skills can deliver value to their users. Be prepared to discuss how you can align your technical solutions with real-world customer problems, demonstrating your product-oriented approach.
