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- Tasks: Join a team to enhance search engine functions using ML models.
- Company: Work with a top UK consultancy on an exciting entertainment project.
- Benefits: Enjoy remote work flexibility and competitive daily rates.
- Why this job: Be part of a cutting-edge project that impacts user experience in entertainment.
- Qualifications: Experience in Python, AWS, and search engine projects is essential.
- Other info: 5-month contract with an ASAP start; perfect for those ready to dive in!
The predicted salary is between 60000 - 84000 £ 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
- Sage Maker
- Search Engine projects
- Effective communication & working under pressure
Contract details:
- 5 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.
Contact Detail:
Spinks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Make sure to showcase your experience with Python and AWS in your conversations. Highlight specific projects where you've successfully implemented machine learning models, especially those related to search engine optimisation.
✨Tip Number 2
Prepare to discuss how you handle pressure and tight deadlines. Think of examples from your past work where you delivered results under challenging circumstances, as this role requires effective communication and teamwork.
✨Tip Number 3
Familiarise yourself with the latest trends in search engine technology and machine learning. Being able to discuss current advancements will demonstrate your passion for the field and your commitment to staying updated.
✨Tip Number 4
Network with professionals in the data science community, particularly those who have worked on similar projects. Engaging in discussions can provide insights and potentially lead to referrals that could strengthen your application.
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 data science, particularly with Python and AWS. Emphasise any previous work on search engine projects or machine learning models to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your specific interest in the project with the entertainment platform. Mention how your skills can contribute to optimising their search engine function.
Showcase Communication Skills: Since effective communication is essential for this role, consider including examples in your application that demonstrate your ability to communicate complex data insights clearly and work collaboratively under pressure.
Highlight Relevant Projects: If you have worked on similar projects, describe them briefly in your application. Focus on the outcomes and technologies used, especially if they relate to machine learning or search engine optimisation.
How to prepare for a job interview at Spinks
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, AWS, and Sage Maker during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies, especially in search engine optimisation.
✨Demonstrate Problem-Solving Abilities
Since this role involves improving search engine functions, be ready to share examples of how you've tackled similar challenges in the past. Discuss the methodologies you used and the outcomes achieved.
✨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.
✨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 previous roles where you successfully navigated such situations.
