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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 culture of innovation.
- 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 environment that encourages curiosity and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
Our client is an industry-leading market-research company that uses 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.
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.
Skills/Qualifications
- 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 - SearchWorks in Manchester employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - SearchWorks in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give us insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. We should be ready to showcase our technical prowess with real-world examples of how we've tackled data challenges in the past.
✨Tip Number 3
Showcase our passion for data! During interviews, let’s share our enthusiasm for data quality and monitoring best practices. It’s all about demonstrating that we’re not just skilled, but also genuinely interested in making an impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re serious about joining the team and are keen to contribute to their growth.
We think you need these skills to ace Data Scientist - SearchWorks in Manchester
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 relevant projects that showcase your skills in monitoring data health and deploying models.
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 your background aligns with the responsibilities listed in the job description. Don't forget to mention your problem-solving mindset!
Showcase Your Projects: If you've worked on any projects involving machine learning or data quality frameworks, make sure to include them. We love seeing practical examples of your work, especially if they relate to the tasks you'll be tackling with us.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jobster
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to the role. Brush up on your Python and SQL skills, and be ready to discuss how you've used them in past projects. Being able to talk about specific metrics, thresholds, and KPIs will show that you understand the importance of data health.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data anomalies or built monitoring systems in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your methodical approach and attention to detail, which are crucial for a Data Scientist.
✨Familiarise Yourself with AWS
Since the role involves deploying models using AWS infrastructure, it’s essential to have a basic understanding of how AWS works. If you’ve had experience with cloud services, be ready to share specific examples. If not, do some quick research to get familiar with key concepts.
✨Emphasise Collaboration and Communication
As you'll be working closely with non-technical stakeholders, highlight your ability to communicate complex ideas clearly. Prepare to discuss how you've collaborated with teams in the past to define business-critical metrics. This will show that you can bridge the gap between technical and non-technical team members.
