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- Tasks: Lead the design and deployment of data monitoring systems and automate processes using AI and ML.
- Company: RealityMine, a pioneer in data-driven insights for top global brands.
- Benefits: Generous time off, life assurance, performance bonuses, and learning opportunities.
- Why this job: Make a real impact on data insights while working in a dynamic, supportive environment.
- Qualifications: Proficient in Python and SQL, with experience in deploying ML models and cloud infrastructure.
- Other info: Enjoy hybrid working, flexible hours, and a culture of curiosity and innovation.
The predicted salary is between 36000 - 60000 £ per year.
RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade. Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way. We are now looking for a Data Scientist to help build and mature our monitoring and alerting infrastructure, as well as introduce automation tooling to our existing systems. This is a pivotal role for someone who thrives in autonomous environments and enjoys owning solutions from concept to deployment.
The Role: As a Data Scientist, you will lead the design, development, and deployment of systems that monitor the health of our data. You will also use AI, ML, and statistical techniques to automate existing manual processes to make our workflows more efficient. You will work with stakeholders across technical and non-technical teams to scope requirements, define metrics, and ensure anomalies are identified, understood, and resolved quickly and reliably. This is a hands-on role that requires both analytical thinking and strong engineering practices. You will take full ownership of projects - from discovering and defining problems, cleaning and preparing data in the warehouse, developing and testing models and logic, and deploying solutions into production environments.
Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same!
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.
- Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.
About You:
Here’s what we’re looking for:
- 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.
Why Join RealityMine?
At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here.
Your Benefits:
- Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave.
- Peace of Mind: Life assurance and a workplace pension with employer contributions.
- Reward for Performance: Bonus scheme that recognizes your hard work and contributions.
- Cycle to Work Scheme: For the cyclists among us, we've got you covered.
- Gear You’ll Love: Choose the tech that works for you, we'll try and source it!
- Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing.
- Giving Back: Join us in supporting local charities and making a positive impact.
Hybrid Working:
Located in Trafford Park, our Manchester office offers an inspiring, collaborative space to work alongside your colleagues. Free parking and secure bike shed. Excellent public transport links. Split your time between the office and home, with 2 days working in our offices. Full equipment provided for home working (desk, screen, chair). Receive £100 annually to personalise your home workspace. Flexible start and finish times to suit your personal circumstances.
If you’re a Data Scientist professional excited to work on impactful projects and shape the future of data insights, we’d love to hear from you. Please email your CV with the heading ‘Data Scientist’ to recruitment@realitymine.com
Data Scientist, Data Operations in Stretford employer: RealityMine
Contact Detail:
RealityMine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Data Operations in Stretford
✨Tip Number 1
Network like a pro! Reach out to current employees at RealityMine on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Scientist role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in past projects, especially in monitoring and automation. Show us you can own solutions from concept to deployment!
✨Tip Number 3
Don’t just talk about your technical skills; highlight your ability to collaborate with non-technical teams. Share examples of how you’ve defined metrics and solved problems with stakeholders. We love candidates who can bridge the gap!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at RealityMine. Let’s get you on board!
We think you need these skills to ace Data Scientist, Data Operations in Stretford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your proficiency in Python, SQL, and any relevant projects you've worked on that showcase your ability to design and implement monitoring systems.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our team. Mention specific examples of how you've tackled complex problems or automated processes in previous roles.
Showcase Your Projects: If you've worked on any projects involving AI, ML, or data quality frameworks, make sure to include them in your application. We love seeing real-world applications of your skills, so don't hold back!
Apply Through Our Website: We encourage you to apply directly 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 RealityMine
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and techniques mentioned in the job description, especially Python, SQL, and AWS. Brush up on your statistical and machine learning knowledge, as you might be asked to discuss how you would apply these in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of past projects where you identified problems and implemented solutions. Be ready to explain your thought process and the steps you took to resolve issues, particularly in monitoring and data quality frameworks.
✨Understand the Company’s Mission
Familiarise yourself with RealityMine’s focus on data-driven insights and privacy. Think about how your skills can contribute to their goals and be prepared to discuss how you can help enhance their monitoring and alerting systems.
✨Engage with Non-Technical Stakeholders
Since the role involves collaboration with both technical and non-technical teams, practice explaining complex concepts in simple terms. Prepare to discuss how you would define metrics and KPIs that are crucial for business decisions.
