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- Tasks: Build and deploy machine learning models for personalisation and anomaly detection.
- Company: Join a tech-savvy team passionate about data and innovation.
- Benefits: Enjoy flexible work options and access to cutting-edge AI tools.
- Why this job: Be part of a collaborative culture that values creativity and impact.
- Qualifications: 3+ years in machine learning, proficient in Python and SQL.
- Other info: Experience with AWS and Databricks is a plus; adapt quickly to new tools.
The predicted salary is between 43200 - 72000 £ per year.
For more information, contact Mieke Van Tonder at 0191 620 0123.
This is an exciting opportunity for someone passionate about technology, data, and machine learning, eager to contribute to a collaborative environment.
The Data Scientist will build and deploy machine learning models to support personalization, recommendations, anomaly detection, and data insights. The role involves working with modern ML Ops practices and leveraging AI-powered tools to enhance efficiency and scalability.
Key Responsibilities
- Develop and deploy machine learning models for various use cases including personalization and anomaly detection.
- Implement ML Ops practices such as monitoring, continuous integration, and automated retraining.
- Utilize AI-assisted development tools like Cursor and Copilot to improve productivity.
- Collaborate with engineers, DevOps, and leadership to ensure robust data pipelines and translate business needs into technical solutions.
Requirements
- At least 3 years of experience in applied machine learning and deploying production models.
- Proficiency in Python, SQL, and frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with AWS services and Databricks; understanding of ML Ops is highly beneficial.
- Ability to adapt quickly to new tools and deliver scalable solutions independently.
- Familiarity with data pipelines involving Kafka, Debezium, S3, Lambda, and Delta Lake is a plus.
Note: Some irrelevant content and personal opinions were removed for clarity and focus.
This job posting is active and available.
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Data Scientist employer: Ronald James Ltd.
Contact Detail:
Ronald James Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific machine learning frameworks mentioned in the job description, like TensorFlow and PyTorch. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Brush up on your knowledge of ML Ops practices. Understanding how to implement monitoring and continuous integration for machine learning models will demonstrate your readiness to contribute effectively from day one.
✨Tip Number 3
Showcase any experience you have with AWS services and Databricks. If you can highlight specific projects where you've used these technologies, it will illustrate your ability to work within the cloud environment that StudySmarter operates in.
✨Tip Number 4
Prepare to discuss how you've collaborated with cross-functional teams in the past. Being able to communicate your experience in translating business needs into technical solutions will be crucial in demonstrating your fit for this role.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in applied machine learning, particularly with Python, SQL, and relevant frameworks like TensorFlow or PyTorch. Emphasise any projects where you've built and deployed models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and data. Mention specific examples of how you've used ML Ops practices and AI-assisted tools in previous roles to demonstrate your fit for the position.
Showcase Relevant Projects: If you have worked on projects involving personalization, anomaly detection, or data insights, include these in your application. Describe your role, the technologies used, and the impact of your work.
Highlight Collaboration Skills: Since the role involves working closely with engineers and leadership, mention any experiences where you've successfully collaborated with cross-functional teams to deliver technical solutions that meet business needs.
How to prepare for a job interview at Ronald James Ltd.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and machine learning frameworks like TensorFlow or PyTorch. Bring examples of projects where you've successfully deployed models, as this will demonstrate your hands-on expertise.
✨Understand ML Ops Practices
Familiarise yourself with ML Ops concepts such as monitoring, continuous integration, and automated retraining. Be ready to explain how you have implemented these practices in previous roles or how you would approach them in this position.
✨Highlight Collaboration Experience
Since the role involves working closely with engineers and leadership, share specific examples of how you've collaborated in past projects. Emphasise your ability to translate business needs into technical solutions, showcasing your communication skills.
✨Stay Updated on AI Tools
Mention any experience you have with AI-assisted development tools like Cursor and Copilot. Discuss how these tools have improved your productivity and how you plan to leverage them in your future work.
