Naimuri - Senior Data Scientist

Overview QinetiQ, Manchester, United Kingdom. Join to apply for the Naimuri - Senior Data Scientist role at QinetiQ. About Us We’ve been around for about ten years and grown from a tech start-up to a community at the heart of Manchester’s thriving tech ecosystem. The name Naimuri means “not overburden” and guides our culture of wellbeing, empowerment, perpetual edge and delivery. We empower teams to explore new ways of working and deliver the finest solutions in an agile, bias-free environment. We partner with government and law enforcement on challenging data and technology problems. About The Team The Data capability team offers opportunities to apply your skills to impactful projects in a rapidly growing, collaborative environment. Data Scientists analyse and investigate data, design solutions to data-driven challenges, and make a real difference for customers. We value continuous learning and shared expertise. About The Role As a Senior Data Scientist, you will maintain our reputation for delivering robust solutions by taking a conscientious, scientific approach to customer data. You will design and develop innovative techniques and tools in an agile manner, mentor earlier-career colleagues, and collaborate with other data scientists, engineers, developers, and customers. Investigate, transform (with provenance), and model customer data; potentially create synthetic data. Apply statistical methods to analyse customer data and report findings to co-workers, customers, and project leads. Identify opportunities to design and build algorithms to transform and interrogate data. Visualise and communicate data and model outputs to audiences of different levels of understanding. Use ML/AI techniques to design and build solutions; work with software developers, data engineers and testers to implement and assure them. Design, implement and test data ingest pipelines with data/platform engineers. Design, train, test and deploy ML/AI models with other data scientists and platform engineers. Experiment design and evaluation; research new data science techniques, potentially with academic collaborators. Responsibilities Mentor and support earlier-career colleagues; foster a culture of continuous learning. Collaborate with customers, data architects, data engineers, software developers, and testers to deliver data-driven solutions. Present analyses and results to customers and project leads; communicate complex ideas to diverse audiences. About You We’re looking for someone who: Has significant industry experience as a data scientist and is passionate about data, tooling, and techniques. Has experience leading a team or project and developing others. Takes a conscientious, curious, and scientific approach to work and continually learns about state-of-the-art techniques. Can communicate complex ideas to customers, executives, and non-specialists. Has experience in Jupyter Notebooks and data analysis; has designed and developed data ingestion and transformation pipelines in Python, potentially using AWS, Azure, or GCP. Is familiar with the full lifecycle of ML/AI models (data, design, training, evaluation, deployment). Has experience supporting an organisation’s data science strategy. Nice To Haves Experience with data synthesis, test and evaluation, AI assurance, knowledge graphs and ontologies, data governance and compliance, or deepfake detection. Experience creating Python-based applications and/or APIs. A degree in data science, physics, computational science, mathematics, or statistics (experience also valued). Location Head Office is based in Salford Quays, Manchester, with satellite teams in London and Gloucestershire. Hybrid working is offered: part of the week remote with on-site time based on delivery needs. Normally a maximum of one or two days per week on site, with flexibility to spend more if preferred. Pay and Benefits Naimuri offers competitive pay relative to base location rates. Salary depends on experience and seniority relative to the team during interviews. Full-time hours are 37.5 per week with flex options; part-time arrangements can be discussed. Core hours are 10:00–15:00; office hours are 07:30–18:00, Monday to Friday. Flexible/hybrid working options Company performance bonus Pension matched 1.5x up to 10.5% AXA medical cover Personal training budget Holiday buy-back scheme Flexible benefits scheme Recruitment Process We want you to feel comfortable and confident when interviewing. Our recruitment team will discuss the process in detail when you apply. We are happy to support accessibility or neurodiversity requirements. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Defense and Space Manufacturing Referrals increase your chances of interviewing at QinetiQ by 2x Sign in to set job alerts for “Senior Data Scientist” roles. #J-18808-Ljbffr