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Naimuri - Senior Data Scientist
QinetiQ
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
Über
Naimuri , a part of
QinetiQ
in Salford Quays, Manchester.
Job Details
Title:
Senior Data Scientist
Location:
Salford Quays, Manchester
Type:
Permanent, Full-time
Job ID:
SF19357
About Naimuri Naimuri is a technology startup that has grown into a key player in Manchester’s tech ecosystem. Our name, meaning “not overburden” in Japanese, reflects our commitment to delivering lightweight, agile solutions.
About The Team The Data Capability team offers a collaborative environment focused on analysing data, designing solutions, and delivering effective data‑driven projects. It is a rapidly growing team that values continuous learning and shared expertise.
Responsibilities
Analyse customer requirements for long‑term projects and new bid work, uncovering opportunities to leverage data.
Modelling customer data, performing statistical analyses, designing cleansing, transformation, and normalisation processes, and extracting features.
Visualise, present, and communicate data analyses and modelling results to customers and project leads.
Engineered platforms, databases, and data pipelines as part of broader delivery solutions.
Train, deploy, and maintain ML/AI models, supporting transfer learning and feature extraction.
Write or support software solutions that implement data science models, tools, and techniques.
Qualifications
Significant industry experience as a data scientist with passion for data science practices.
Experience leading a team or project, mentoring others.
Conscientious, curious, and scientific approach to work.
Strong analytical and problem‑solving skills, able to design and develop innovative solutions.
Excellent communication skills for presenting complex ideas to diverse audiences.
Deep dives into data, presenting results using Jupyter notebooks.
Experience designing ingestion pipelines in Python and cloud solutions (AWS, Azure, GCP).
Full ML/AI lifecycle experience, including training, evaluation, and automated pipeline deployment.
Experience shaping organisational data science strategy and executing experiment plans.
Nice to Haves
Specialisms: Data Synthesis, Test and Evaluation, AI Assurance, Knowledge Graphs, Data Governance, or Deepfake Detection.
Python‑based applications or API development.
Degree in data science, physics, computational science, mathematics, or statistics.
Location Head Office: Salford Quays, Manchester. Hybrid working: up to 1–2 days per week on site, with flexibility to work from home.
Pay & Benefits
Competitive base salary, industry‑standard rates.
Full‑time 37.5‑hour week, with flexible hours and part‑time options.
Core hours: 10:00‑15:00; office: 7:30‑18:00 Monday‑Friday.
Benefits: Flexible hybrid work, performance‑related bonus, pension matched 1.5x up to 10.5%, AXA Group medical cover, personal training budget, holiday buy‑back, flexible benefits scheme.
Recruitment Process We will discuss the process with you once you apply. We support any accessibility or neurodiversity requirements throughout recruitment.
EEO Statement We are committed to building an inclusive, safe and supportive environment that allows everyone to do their best work.
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Sprachkenntnisse
- English
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