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- Tasks: Build and deploy machine learning models while mentoring fellow data scientists.
- Company: Join a global leader in data science, transforming how clients understand their customers.
- Benefits: Enjoy flexible working with three days in the office and a collaborative culture.
- Why this job: Be part of an innovative team making a real impact with cutting-edge technology.
- Qualifications: MSc/PhD in a relevant field and extensive experience in machine learning required.
- Other info: Contact niall.wharton@Xcede.com to apply or for more information.
The predicted salary is between 43200 - 72000 £ per year.
Xcede are delighted to be working with an organisation who have a truly global reach within their field. The company deals with a wealth of both structured and unstructured data in order to help their clients understand their millions of customers better. The organisation builds impactful Data Science and Machine Learning tools for these clients, too. The company has a pre-established Data Science & Machine Learning unit headed up by a very experienced Head of Data Science, and they are continuing to expand their team with the hire of another Principal Data Scientist.
Preferred skills and expertise include:
- Recommendation Systems
- Segmentations
- Forecasting
- Casual AI
- MMM (Media Mix Modeling)
- NLP
- Computer Vision
- LLMs
- RAG
Responsibilities:
- Build and deploy effective statistical and machine learning models.
- Advise on proper Model Deployment infrastructure.
- Mentor and guide other Data Science team members.
- Collaborate with a huge variety of stakeholders.
Requirements:
- An MSc / PhD in Computer Science, Statistics, or a similarly relevant area.
- Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc.
- Strong Model Deployment & software engineering skills to contribute to Machine Learning Engineering tasks.
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).
Principal Data Scientist employer: Xcede
Contact Detail:
Xcede Recruiting Team
niall.wharton@Xcede.com
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in Data Science, especially in areas like Recommendation Systems and NLP. This will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the industry, particularly those who work in similar roles or companies. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving Machine Learning models and their deployment. Be ready to explain your thought process, challenges faced, and how you overcame them, as this demonstrates your practical experience.
✨Tip Number 4
Showcase your mentoring skills by discussing any experience you have in guiding junior team members or collaborating with cross-functional teams. This is crucial for a Principal Data Scientist role, as leadership and collaboration are key components.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Machine Learning and Data Science models, especially in areas like Recommendation Systems and NLP. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience in building and deploying statistical models and mentoring team members.
Showcase Relevant Projects: Include details of relevant projects you've worked on that involved model deployment and collaboration with stakeholders. Highlight any successful outcomes or innovations you contributed to in these projects.
Highlight Your Educational Background: Clearly state your MSc or PhD qualifications in Computer Science, Statistics, or a related field. Emphasise any coursework or research that is particularly relevant to the responsibilities of the Principal Data Scientist role.
How to prepare for a job interview at Xcede
✨Showcase Your Technical Skills
Be prepared to discuss your experience with various machine learning models and techniques, especially those mentioned in the job description like Recommendation Systems and NLP. Bring examples of your past work that demonstrate your expertise in these areas.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think about how you would approach building and deploying a model for a specific business problem. Practising these scenarios can help you articulate your thought process clearly.
✨Highlight Your Mentorship Experience
Since mentoring is part of the role, be ready to share examples of how you've guided junior team members or collaborated with peers. This shows your leadership skills and ability to contribute to team development.
✨Understand the Company’s Data Landscape
Research the company’s existing data science projects and tools. Understanding their current challenges and successes will allow you to tailor your responses and demonstrate your genuine interest in contributing to their goals.
