Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and enhance the Recommender System for our core platform.
- Company: Join a dynamic scale-up that's making waves in the tech industry.
- Benefits: Enjoy a hybrid work model with 3 days in the office.
- Why this job: Shape product strategy and mentor future data scientists while working on impactful projects.
- Qualifications: Strong background in Statistics or Computer Science with experience in recommendation engines.
- Other info: Exciting opportunity to work with cutting-edge technology in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Scientist
x2 days a week in office
Xcede is thrilled to be partnering with one of the world's leading tech companies as they expand their Data Science team. With millions of customers using their products daily, data is at the heart of everything they do.
The Head of Data, a highly skilled Data Scientist with a track record of building exceptional teams, is now focused on assembling another world-class group of experts.
As part of this expansion, the company is looking to onboard a Senior Data Scientist with strong commercial experience in building Recommender Systems. Experience in designing and deploying Graph Models or Graph Neural Networks would be a significant advantage.
Responsibilities
- Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and add business value.
- Build relevant statistical / machine learning models-related projects.
- Build RecSys / Recommendation Engines / Recommender Systems / Recommendation Systems
- Communicate findings effectively to stakeholders to encourage adoption.
Requirements
- A STEM / Computer Science degree (ideally MSc and above but all backgrounds considered).
- Excellent Python skills.
- Strong Machine Learning & Statistical knowledge
- Commercial Recommendation Engine experience
- Software Development best practice approach (CI/CD experience, etc.)
- Graph Neural Networks / Knowledge Graph experience.
If this role interests you and you would like to learn more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
Senior Data Scientist (Recommender Systems) employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Recommender Systems)
✨Tip Number 1
Make sure to showcase your experience with recommendation systems in your conversations. Highlight specific projects where you've successfully deployed these systems, as this will resonate well with the hiring team.
✨Tip Number 2
Prepare to discuss your approach to mentoring junior team members. The role emphasizes mentorship, so think of examples where you've guided others and how that contributed to their growth and the team's success.
✨Tip Number 3
Familiarize yourself with the latest trends in machine learning and deep learning, especially as they relate to recommender systems. Being able to discuss cutting-edge techniques will demonstrate your passion and expertise in the field.
✨Tip Number 4
Since the company is a scale-up, be ready to talk about your experience working in fast-paced environments. Share examples of how you've adapted to rapid changes and contributed to scaling projects effectively.
We think you need these skills to ace Senior Data Scientist (Recommender Systems)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your years of commercial experience with recommendation engines. Detail specific projects where you deployed these systems and the impact they had.
Showcase Technical Skills: Clearly outline your expertise in Machine Learning and Deep Learning. Mention any relevant tools or frameworks you have used, especially in the context of building scalable systems.
Academic Background: Include your academic qualifications in fields like Statistics or Computer Science. If you have any notable achievements or research, be sure to mention them as well.
Tailor Your Application: Customize your CV and cover letter to reflect the responsibilities and requirements listed in the job description. Show how your skills align with the company's product strategy and goals.
How to prepare for a job interview at Xcede
✨Showcase Your Technical Skills
Be prepared to discuss your experience with recommendation systems in detail. Highlight specific projects where you deployed machine learning and deep learning techniques, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Problem-Solving Abilities
Expect to encounter scenario-based questions that assess your analytical thinking. Practice articulating your thought process when tackling complex problems, especially those related to building and optimizing recommender systems.
✨Highlight Mentorship Experience
Since mentoring junior hires is part of the role, share examples of how you've guided less experienced colleagues in the past. Discuss your approach to mentorship and how it has positively impacted team performance.
✨Align with Company Values
Research the company's mission and values before the interview. Be ready to discuss how your personal and professional goals align with theirs, particularly in terms of creating impactful tools for customers and members.
