Data Scientist

The team undertakes a wide variety of exciting, innovative and leading edge research in the areas of Data Science, AI, Machine Learning, Natural Language Processing, Computer Vision and Tracking for Security, Defence and Commercial customers. Our capabilities cover machine learning and data science specialists, human science practitioners and software developers. We have the ambition to grow our leading-edge Data Science capability to support projects across the whole breadth of QinetiQ’s global portfolio of programmes.

The Role

You will be accountable to the Team leader, Project Manager and customer(s) for producing high quality technical output, including understanding customer requirements, identifying, evaluating, and recommending and developing tools and algorithms, and generating insights from data. You will lead on tasks for a variety of projects involving extraction, cleansing, association, modelling, inference, and visualisation of both structured and unstructured data. You will work in an exciting high-paced, leading-edge technology environment whilst keeping up with the state-of-the-art in a broad and high profile technical area.

Full time/part time or flexible working arrangements will be considered for the right candidate. There is an expectation that occasional travel will be undertaken to other QinetiQ and Customer sites for daily or possibly short-term tasks.

Essential Knowledge, Skills and Experience of the Senior Data Scientist

• Significant post-graduation track record of delivery of data-science projects

Experienced and knowledgeable in some aspects of at least one of the following:

• Machine Learning
• Natural Language Processing
• Computer Vision
• Signal Processing
• Tracking

Desirable Experience of some or all of the following:

• Working with multi-lingual text.
• Agile or scaled Agile teams.
• Data association and inference techniques.
• Virtualisation and cloud technologies.
• Full product development lifecycle from requirements to user testing.
• Writing technical proposals in a competitive environment.
• More general engineering design and implementation processes.

Qualifications for the Senior Data Scientist

• Qualified to at least University Honours Degree in a STEM subject or equivalent

Technologies we use:

• Languages include: Python, Matlab, SQL, C++, JavaScript, and Bash.
• Operating systems include: Linux (various flavours) and Windows.
• Libraries include: BERT, Gensim, Hugging Face, Keras, NLTK, NumPy, Matplotlib, Pandas, Scikit-learn, SciPy, SpaCy, Stanford CoreNLP, TensorFlow, USE.
• Cloud environments include: AWS, Azure.
• Tools include: Conda, Git, Jupyter

The successful candidate will be a sole UK national who holds SC security clearance, and ideally DV clearance, or the ability to apply for DV in due course if necessary. UKSV National Security Vetting Solution: guidance for applicants - GOV.UK (www.gov.uk)

Our Benefits

• Adaptive and flexible working
• Generous holiday allowance
• Health Cash Plan, Private Medical Insurance and Dental Insurance
• Matched contribution pension scheme, with life assurance
• Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more
• Holiday Trading is a benefit that allows most employees to buy up to 5 days’ additional leave
• We are proud to support the Armed Forces community by honouring the Armed Forces Covenant
• Payroll Giving and Volunteering - helping charities and local community

Our volunteering programme enables our people to use their professional skills to make a positive difference in our local communities, for example STEM (Science, Technology, Engineering and Maths) ambassador days in schools. We support a number of charities that are important to our people, including those which help the defence community.

Why join QinetiQ?

As we continue to grow into new markets around the world, there’s never been a more exciting time to join QinetiQ. The formula for success is our appetite for innovation and having the courage to take on a wide variety of complex challenges.

You’ll experience a unique working environment where teams from different backgrounds, disciplines and experience enjoy collaborating widely and openly as we undertake this exciting and rewarding journey. Through effective teamwork, and pulling together, you’ll get to experience what happens when we all share different perspectives, blend disciplines, and link technologies; constantly discovering new ways of solving complex problems in an diverse and inclusive environment where you can be authentic, feel valued and realise your full potential. Read more about our diverse and inclusive workplace culture here.

Joining QinetiQ offers you an opportunity to work on a broad range of interesting defence-based projects with vast career progression across a global organisation in addition to competitive personal and professional benefits. You’ll receive a highly competitive salary and benefits package: our basic salaries are very attractive as we constantly review what’s happening in the market. The range of benefits that we offer include, adaptive and flexible working, generous holiday entitlements, Health Cash Plan, Private Medical Insurance and Dental Insurance and much more.

About QinetiQ

As a company of over 6,000 dedicated professionals, we are a world-centre of excellence in research and development and act as a catalyst for fast-track innovation, offering outstanding experimentation facilities, and technical, engineering and scientific expertise. QinetiQ is made up of dedicated experts in defence, aerospace, security and related markets, all working together to explore new ways of protecting what matters most. Being part of QinetiQ means being central to the safety and security of the world around us. Partnering with our customers, we help to save lives; reduce risks to society; and maintain the global infrastructure on which we all depend. Come and find out how you can play a role.

Please note that many roles in QinetiQ are subject to national security vetting. Applicants that already hold the appropriate level of vetting may be able to transfer it upon appointment, subject to approval. A number of roles are also subject to restrictions on access to information that mean factors such as nationality, previous nationalities held and the country in which you were born may have an effect on the roles that you can be employed in.