Data Scientist, Data Operations

RealityMine; Stretford; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading data insights firm in Stretford is seeking a Data Scientist to build and enhance monitoring infrastructure and automation tools. This pivotal role requires proficiency in Python and SQL, familiarity with AWS, and strong problem-solving skills. The successful candidate will collaborate across teams, leading projects from concept to deployment, ensuring data quality and efficiency. The position offers generous benefits and a hybrid work model, with 2 days in the office and flexibility for remote work.

Benefits

25 days paid holiday

Life assurance

Bonus scheme

Cycle to Work Scheme

Personalised tech choices

Training budget

Community support initiatives

Qualifications

• Experience in deploying statistical or ML models into production environments is essential.
• Ability to scope, define, and deliver complex solutions independently.
• Strong analytical and engineering practices are critical.

Responsibilities

• Lead design, development, and deployment of monitoring systems.
• Collaborate to define relevant metrics and KPIs.
• Build, maintain, and productionise machine learning models.

Skills

Proficiency in Python

Proficiency in SQL

Cloud infrastructure (AWS)

Statistical modeling

Machine learning models deployment

Problem-solving mindset

Attention to detail

Job description

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 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 [e-mail]