Naimuri Senior Data Scientist

QinetiQ Security & Defence Contractors
Manchester
3 days ago
Create job alert
Job Title

Senior Data Scientist


Location

Salford Quays Manchester


Job Type

Permanent Full-time


About Naimuri

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 were looking for a Senior Data Scientist to join our mission.


Inclusive Workplace

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 the team

The Data capability team at Naimuri offers a unique opportunity to apply your skills to impactful projects. It is 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.


Responsibilities

  • 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 and assure them.
  • Work with data engineers and platform engineers to design implement and test data ingest pipelines.
  • Work with other data scientists and ML and platform engineers to design train test and deploy ML / AI models.
  • Test and compare the effectiveness of different mathematical and computational techniques for working with data.
  • Conduct research into the application or development of new data science techniques potentially collaborating with our expansive academic network and co-supervising Masters and PhD candidates.
  • Experiment design and execution / running and communication of the experiment plan.

Qualifications and Experience

  • Has significant industry experience as a data scientist and is passionate about data with opinions on the best ways of working techniques and tooling.
  • Has experience leading a team or project and wants to help others develop and learn.
  • Takes a conscientious curious and scientific approach to their work.
  • Continually learning about state-of-the‑art techniques in technology academic and industry articles.
  • Possesses strong analytical problem‑solving abilities to design and develop innovative data science solutions.
  • Can communicate and present complex ideas and findings to diverse audiences including customers executives and non‑specialists.
  • Has performed deep dives into data and presented the results of analysis and modelling using tools like Jupyter Notebooks.
  • Has experience designing and developing data ingestion and transformation pipelines in languages like Python potentially using cloud solutions in AWS Azure or GCP.
  • Is familiar with the full lifecycle of ML / AI models including collating training data design training evaluation and deploying automated pipelines.
  • Has experience helping to transform or implement an organisations data science strategy.
  • Is comfortable designing and executing experiment plans and communicating them to stakeholders.

Nice to haves

  • Experience with any of the following specialisms : Data Synthesis Test and Evaluation AI Assurance Knowledge Graphs and Ontologies Data Governance and Compliance or Deepfake Detection.
  • Creating Python-based applications and / or APIs.
  • A degree in a field like data science physics computational science mathematics or statistics (though we value demonstrable experience just as much!).

Location

Our Head Office is based in Salford Quays Manchester with satellite teams currently in London and Gloucestershire. We offer hybrid working where you can work from home for part of your working week with time on site being based on the needs of your assigned delivery and agreed Ways of Working for your team. This would normally be a maximum of one or two days per week but you would be welcome to spend more days in the office if you preferred.


Pay and benefits

  • Flexible / Hybrid working options
  • A company performance related bonus
  • Pension matched 1.5x up to 10.5%
  • AXA group 1 medical cover
  • Personal training budget
  • Holiday buy-back scheme
  • A flexible benefits scheme

Recruitment Process

We want to ensure that you feel comfortable and confident when interviewing with us. To help you prepare our recruitment team will discuss the process in more detail with you when you apply. We are happy to support any accessibility or neurodiversity requirements.


#J-18808-Ljbffr

Related Jobs

View all jobs

Naimuri - Senior Data Scientist

Naimuri - Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.