Naimuri Senior Data Scientist

QinetiQ Security & Defence Contractors
Manchester
1 month ago
Applications closed
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.


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