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- Tasks: Build, tune, and deploy ML models to drive innovation.
- Company: Join a fast-growing e-commerce company focused on data-driven success.
- Benefits: Enjoy hybrid work options and a great work-life balance.
- Why this job: Be part of a cutting-edge team that values technology and creativity.
- Qualifications: Strong background in Machine Learning, Python, SQL, and AWS required.
- Other info: Interviews are happening now—don't miss out!
The predicted salary is between 48000 - 72000 £ per year.
Data Scientist – Machine Learning / AI – North East – £60,000 – Hybrid
Company Overview:
My client is a Data-driven e-commerce outfit who are currently seeking a Data Scientist to help them achieve their goals. This client is one of the fastest growing online businesses in the country and they credit their forward-thinking, technology and data-first approach to their success. This is a great opportunity to be part of a team who will prioritise cutting-edge technology and give you a level of freedom to transform business operations while maintaining a great work-life balance with flexible working arrangements.
Role Overview:
The client is looking for a talented Data Scientist with a strong background in Machine Learning and analytics. You will build, tune, and deploy ML models to help push the organisation into the future and remain ahead of their competitors. You will be working closely with the Data Engineering team in order to effectively implement and improve said models. In addition to ML, you will leverage a range of AI tools to enhance performance and efficiency.
Requirements:
- Experience with Machine Learning and model deployment
- Strong with Python, SQL and ML Frameworks
- Hands-on experience with AWS services
Nice to Have:
- Data Pipeline Experience
- Terraform Experience
- Databricks Experience
This is an unmissable chance to hone your skills and grow your career working for a top e-commerce organisation. Interviews are already underway, so don\’t miss your chance. Apply Now!
Contact – // 01913386641
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Data Scientist - Machine Learning / AI - North East employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Machine Learning / AI - North East
✨Tip Number 1
Make sure to showcase your hands-on experience with Machine Learning and model deployment. Highlight specific projects where you've successfully built, tuned, and deployed ML models, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with the latest trends in AI tools and technologies. Being able to discuss how you can leverage these tools to enhance performance and efficiency will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the e-commerce and data science fields. Engaging with others in the industry can provide valuable insights and potentially lead to referrals that could help you land the job.
✨Tip Number 4
Prepare to discuss your experience with AWS services in detail. Since this is a requirement for the role, being able to articulate how you've utilized AWS in your previous projects will demonstrate your fit for the position.
We think you need these skills to ace Data Scientist - Machine Learning / AI - North East
Some tips for your application 🫡
Understand the Company: Research the e-commerce outfit to understand their data-driven approach and how they leverage technology. This will help you tailor your application to align with their goals.
Highlight Relevant Skills: Make sure to emphasize your experience with Machine Learning, Python, SQL, and any relevant ML frameworks in your CV and cover letter. Provide specific examples of projects where you've successfully deployed ML models.
Showcase Your Experience: If you have hands-on experience with AWS services or data pipeline tools like Terraform and Databricks, be sure to mention these in your application. Highlighting these skills can set you apart from other candidates.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Mention how you can contribute to their success and your desire for a flexible work-life balance.
How to prepare for a job interview at Jefferson Frank
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and ML frameworks in detail. Bring examples of projects where you've successfully built, tuned, and deployed machine learning models.
✨Understand the Business Context
Research the e-commerce industry and understand how data science can drive business decisions. Be ready to explain how your work can help the company stay ahead of its competitors.
✨Familiarize Yourself with AWS
Since hands-on experience with AWS services is a requirement, make sure you can discuss specific AWS tools you've used in your projects and how they contributed to your model deployment.
✨Prepare for Behavioral Questions
Expect questions about teamwork and collaboration, especially since you'll be working closely with the Data Engineering team. Think of examples that demonstrate your ability to work well in a team and adapt to new challenges.
