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For Companies At a Glance
- Tasks: Analyse data, design solutions, and mentor junior colleagues in a collaborative environment.
- Company: Join QinetiQ, a thriving tech community in Manchester focused on innovation.
- Benefits: Enjoy flexible working, competitive pay, and a personal training budget.
- Why this job: Make a real impact with cutting-edge data science techniques and tools.
- Qualifications: Significant experience in data science and strong communication skills required.
- Other info: Hybrid working options and a culture of continuous learning await you.
The predicted salary is between 43200 - 72000 £ per year.
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
Naimuri - Senior Data Scientist in Manchester employer: QinetiQ
Contact Detail:
QinetiQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Naimuri - Senior Data Scientist in Manchester
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the data science community. Attend meetups, webinars, or even just grab a coffee with someone in the field. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that align with what Naimuri is doing. Use GitHub or a personal website to display your work. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Think about how you can communicate complex ideas simply, as you'll need to do this with diverse audiences at Naimuri. Mock interviews with friends can really help!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team. Don’t forget to tailor your application to highlight your experience with ML/AI and collaboration!
We think you need these skills to ace Naimuri - Senior Data Scientist in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight your relevant experience and skills that match the job description, especially your expertise in data analysis and ML/AI techniques.
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your ability to solve data-driven challenges. This could be anything from designing algorithms to visualising data outputs – make it clear how you made an impact!
Keep It Clear and Concise: When writing your application, aim for clarity. Use straightforward language and avoid jargon where possible. Remember, we want to understand your experience without getting lost in technical terms!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're keen on joining our community at Naimuri!
How to prepare for a job interview at QinetiQ
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially those related to ML/AI techniques. Be prepared to discuss your experience with Jupyter Notebooks and Python, as well as any projects where you've designed data ingestion pipelines. This will show that you have the technical chops for the role.
✨Showcase Your Mentoring Skills
Since the role involves mentoring earlier-career colleagues, think of examples where you've supported or guided others in your previous roles. Highlight how you foster a culture of continuous learning and collaboration, which aligns with Naimuri's values.
✨Communicate Complex Ideas Simply
Practice explaining complex data science concepts in layman's terms. You might be asked to present analyses to diverse audiences, so being able to communicate effectively is key. Use examples from your past experiences to illustrate your ability to adapt your communication style.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in previous projects and how you approached them. Be ready to discuss how you would design experiments or evaluate new data science techniques, as this reflects the scientific approach they value.
