Naimuri - Senior Data Scientist
Listed on 2026-01-09
-
IT/Tech
Data Engineer, Data Analyst, Machine Learning/ ML Engineer, AI Engineer
Job Title:
Naimuri - Senior Data Scientist
Location:
Manchester, England, United Kingdom
Job Type: Permanent, Full-time
Job
Naimuri is offering the chance to help make the UK a safer place through innovation. We partner with government and law enforcement on some of the most challenging data and technology problems out there, and we're looking for a Senior Data Scientist to join our mission.
We strongly encourage candidates of all different backgrounds and identities to apply. We are committed to building an inclusive, safe and supportive environment that allows everyone to do their best work. We are happy to support any accessibility or neurodiversity requirements that you may need during the recruitment process.
About us:We’ve been around for about ten years and grown from being a little-known tech start-up to creating our own community at the heart of Manchester’s thriving tech ecosystem.
The name Naimuri is Japanese and simply means…
This principle guides everything we do, from our technology and processes to our people and culture. We empower our teams to do what they think is right, giving them the confidence to explore new ways of working and deliver the finest solutions in an agile, bias-free environment.
Our business is focused on 4 cornerstones:
Wellbeing, Empowerment, Perpetual Edge and Delivery
.
People and culture are at the heart of Naimuri, so that collectively, we can realise our mission of ‘making the UK a safer place to be’.
About the team:The Data capability team at Naimuri offers a unique opportunity to apply your skills to impactful projects. It's a rapidly growing, collaborative, and supportive environment where we analyse and investigate data, design solutions to exciting data-driven challenges, and make a real difference for our customers. We are passionate about continuous learning and fostering shared expertise within the team.
Data Scientists within our Data capability team are often working on:
- Analysing customer requirements in long-term projects and new bid work to uncover opportunities for customers to leverage their data.
- Analysing and modelling customer data, performing statistical analyses, designing cleansing, transformation and normalisation processes, performing feature extraction/reduction, and designing solutions and opportunities.
- Performing, visualising, and presenting data analyses and analytics to customers and project leads, including on-site.
- Engineering platforms, databases, and data pipelines as part of broader delivery solutions.
- Training (inc. transfer learning and feature extraction) and deploying ML/AI models for prediction, detection, classification, etc.
- Writing or supporting software solutions that implement data science models, tools, and techniques.
As a Senior Data Scientist, you will help maintain our strong reputation for delivering robust solutions by taking a conscientious and scientific approach to customer data. You will use your strong problem‑solving skills to design and develop innovative techniques and tools in an agile manner. Working collaboratively with other data scientists, engineers, and developers, you will research, experiment, analyse and visualise complex data, presenting your findings to customers and colleagues.
A key part of this role is mentoring and supporting earlier‑career colleagues, helping to foster a culture of continuous learning and shared expertise across the team.
You will work closely with customers, other data scientists, data architects, data engineers, software developers, and testers to:
- Investigate, transform (with provenance), and model customer data, and potentially create synthetic data in lieu.
- Apply statistical methods to analyse customer data and be able to report that analysis to co‑workers, customers, and project leads.
- Identify opportunities to apply, design and build algorithms to transform and interrogate data.
- Visualise and communicate data and model and algorithm outputs for audiences of different levels of understanding.
- Use data science techniques, including ML/AI, to design and build solutions to customer problems, and work with software developers, data engineers and testers to implement…
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