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- Tasks: Join a team to build and optimise ML models for a leading Entertainment platform's search engine.
- Company: Work with a top UK Consultancy on innovative data science projects.
- Benefits: Enjoy remote work flexibility and competitive daily rates.
- Why this job: Be part of an exciting project that enhances user experience in entertainment.
- Qualifications: Experience in Python, AWS, ML, and AI/ML search engine projects is essential.
- Other info: This is a 6-month contract with an ASAP start date.
The predicted salary is between 54000 - 90000 £ per year.
Spinks are partnered with a leading UK Consultancy who are looking for an experienced Data Scientist to join on an exciting project in the early stages of its journey. This project works closely with a leading Entertainment platform, aiming to improve and optimise the search engine function.
You will work with other Data Scientists to build and optimise ML Models that improve the accuracy and efficiency of the search engine. Experience in a similar project is extremely beneficial for this position.
Essential experience:- Python
- AWS
- ML
- Sage Maker
- AI/ML Search Engine projects
Effective communication & working under pressure.
Contract details:- 6 Month initial engagement
- Remote (UK)
- Inside IR35
- £(Apply online only)/day
- ASAP Start
If you're available to start in the next 2 weeks & meet the above requirements, please apply now.
Principal Data Scientist employer: Spinks
Contact Detail:
Spinks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python and AWS. Having hands-on experience or projects that showcase your skills in these areas will give you a significant edge during discussions.
✨Tip Number 2
Prepare to discuss your previous experience with machine learning models, particularly in search engine optimisation. Be ready to share specific examples of how your contributions led to improved accuracy and efficiency in past projects.
✨Tip Number 3
Since effective communication is essential for this role, practice articulating complex data science concepts in simple terms. This will help you demonstrate your ability to collaborate with team members and stakeholders effectively.
✨Tip Number 4
Research the leading entertainment platform mentioned in the job description. Understanding their business model and challenges can help you tailor your conversation and show how your skills can directly benefit their search engine function.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Python, AWS, and machine learning. Include specific projects where you've optimised search engines or built ML models, as this will resonate with the consultancy's needs.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the project and the entertainment sector. Mention any previous work that aligns with the role, particularly focusing on your ability to work under pressure and communicate effectively.
Showcase Your Technical Skills: If you have experience with SageMaker or similar AI/ML tools, be sure to include this in your application. Providing examples of how you've used these technologies in past projects can set you apart from other candidates.
Highlight Team Collaboration: Since the role involves working closely with other Data Scientists, emphasise your teamwork skills. Share examples of successful collaborations and how they contributed to project outcomes, especially in high-pressure environments.
How to prepare for a job interview at Spinks
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, AWS, and ML during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies, especially in relation to search engine optimisation.
✨Demonstrate Problem-Solving Abilities
Since this role involves optimising search engine functions, be ready to talk about challenges you've faced in similar projects. Discuss how you approached these problems and the solutions you implemented, showcasing your analytical thinking.
✨Communicate Effectively
Effective communication is key, especially when working under pressure. Practice explaining complex data science concepts in simple terms, as you may need to collaborate with non-technical stakeholders in the project.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to work in a team and handle tight deadlines. Think of examples from your past experiences where you successfully collaborated with others to achieve a common goal.
