Quality Assurance & Data Insights Lead in Leiston

Quality Assurance & Data Insights Lead in Leiston

Leiston Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
Mace

At a Glance

  • Tasks: Lead quality assurance efforts and drive data insights for impactful decision making.
  • Company: Join Mace, a leader in sustainable construction and innovation.
  • Benefits: Enjoy hybrid working, competitive salary, and a commitment to net-zero initiatives.
  • Other info: Be part of a team dedicated to continuous improvement and responsible carbon management.
  • Why this job: Make a difference in the Sizewell C project while enhancing your skills in a dynamic environment.
  • Qualifications: Experience in quality assurance and data analysis is essential.

The predicted salary is between 45000 - 55000 £ per year.

Mace is seeking a Quality Support Officer to join the SZC Quality team on Sizewell C project in the UK.

You will help develop and maintain a digital reporting suite, delivering KPIs to stakeholders and driving data-led decision making.

The role covers audits, root cause analysis, risk mitigation, and continuous improvement, with hybrid working options and a commitment to net-zero and responsible carbon management.

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Quality Assurance & Data Insights Lead in Leiston employer: Mace

Mace Construct Limited is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. With a strong commitment to employee development, we provide ample opportunities for growth and advancement within our Public, Science & Technology Business Unit, ensuring that our team members are equipped with the skills and knowledge needed to excel in their roles. Our culture prioritises safety, quality, and continuous improvement, making it a rewarding place for professionals seeking to make a meaningful impact in the hyperscale data centre sector.

Mace

Contact Details:

Mace Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quality Assurance & Data Insights Lead in Leiston

Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Mace.

Apply Directly through Our Website

When you find a suitable opening like Quality Assurance & Data Insights Lead at Mace, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Quality Assurance & Data Insights Lead in Leiston

Digital Reporting Suite Development
KPI Delivery
Data-Led Decision Making
Auditing Skills
Root Cause Analysis
Risk Mitigation
Continuous Improvement

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Mace, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mace. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Mace

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mace!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.