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- Tasks: Design and deploy systems to monitor data health and ensure accuracy.
- Company: Leading market-research company with a focus on data-driven insights.
- Benefits: Competitive salary, growth opportunities, and a collaborative work environment.
- Why this job: Join a rapidly growing team and make an impact with your data skills.
- Qualifications: Proficient in Python and SQL, with a strong understanding of cloud infrastructure.
- Other info: Dynamic culture that promotes curiosity, innovation, and continuous learning.
The predicted salary is between 28800 - 48000 £ per year.
Our client is an industry leading market-research company who use data-driven insights to provide unique and actionable data for some of the world's most recognised brands. Over the last 12 months they've experienced a period of rapid growth and they are positioned to continue this growth for the foreseeable future so it's an ideal time to join the team.
They need a strong Data Scientist to design, develop and deploy systems to monitor data health.
Key Responsibilities:- Design and implement monitoring and alerting systems to ensure the reliability and accuracy of key datasets and processes.
- Collaborate with teams to define relevant metrics, thresholds, and KPIs.
- Build, maintain, and productionise machine learning and statistical models using Python and PySpark.
- Design and implement automation tools which can help dynamically adapt our products to external changes.
- Integrate LLM tooling into pipelines to aid with automation.
- Deploy monitoring tools and models using AWS infrastructure.
- Investigate and troubleshoot anomalies in the data pipeline.
- Promote data quality and monitoring best practices across the business.
- Contribute to a culture of curiosity, rigour, and innovation.
- Apply automation and AI-assisted tools where appropriate to improve delivery efficiency and the quality of analytical outputs.
- Proficiency in Python and SQL for analysis, model development, and data interrogation.
- Comfortable deploying statistical or ML models into production environments.
- Strong understanding of cloud infrastructure, preferably AWS.
- A methodical, problem-solving mindset with high attention to detail.
- Able to scope, define, and deliver complex solutions independently.
- Comfortable working closely with non-technical stakeholders to define business-critical metrics.
- Self-motivated, accountable, and keen to continuously learn and grow.
- Previous experience building monitoring or data quality frameworks is highly desirable.
Data Scientist in Warrington employer: SearchWorks
Contact Detail:
SearchWorks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data needs. Be ready to discuss how you would design monitoring systems or troubleshoot data anomalies – they’ll love your proactive approach!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Scientists like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any cloud infrastructure like AWS. We want to see how your skills match up with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our client's growth. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any cool projects or built monitoring frameworks, make sure to mention them! We love seeing practical examples of your work, especially if they relate to the responsibilities listed in the job description.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates who follow the process!
How to prepare for a job interview at SearchWorks
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, especially when it comes to building and deploying models. They’ll want to see that you can not only code but also understand the underlying data.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data issues in the past. Think about specific challenges you've faced, how you approached them, and what the outcomes were. This will demonstrate your methodical mindset and attention to detail, which are crucial for this role.
✨Familiarise Yourself with AWS
Since the role involves deploying models using AWS, make sure you have a good grasp of cloud infrastructure. Brush up on any relevant AWS services you’ve used, and be ready to discuss how you would implement monitoring tools in a cloud environment.
✨Be Ready to Collaborate
This position requires working closely with non-technical stakeholders, so practice explaining technical concepts in simple terms. Think of examples where you've successfully communicated complex ideas to non-technical team members, as this will show your ability to bridge the gap between data science and business needs.
