Company Description
About us
We believe in the power of ingenuity to build a positive human future.
As strategies, technologies and innovation collide, we create opportunity from complexity.
Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
An innovation and transformation consultancy, we are over 4000 specialists in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists.
We operate globally from offices across the UK, US, Netherlands and Nordics.
PA. Bringing Ingenuity to Life.
Job Description
Flexible working - We are guided by our client work and needs; however, you have autonomy to manage your time and diary to suit your work/life balance.
We are seeking an experienced Data Science consultant to join our team. The ideal candidate will have a strong background in data science, mathematical modelling and ML, with a focus on using advanced analytics techniques to support data centric decision making in government organisations, police forces, aerospace, defence, and security businesses. Our company is committed to helping these organisations anticipate threats, keep people safe, and meet their clients' needs.
Qualifications
Due to the nature of client work for this role, you will need to be asole British national, eligible to work on secure client sites.
A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics, or statistics Experience of conducting analysis for evidence-based decision making, developing models and analyses to support data centric decision making Experience in working in the Defence and Security sector. Experience working with clients to translate business needs into solutions Experience of working across the full modelling lifecycle - problem formulation, exploratory data analysis, model design, build, testing and handover Experience working with common tools like python, SQL and Excel for modelling and analysis Experience of leading and delivering solutions that involved one or more of the following specialisms: advanced analytics and data science, developing operational research models, big data platforms, data visualisation or dashboard development. A genuine affinity for problem solving - an inquisitive mind who wants to solve the trickiest challenges whilst working with incredible colleagues
We know the skill-gap and ‘somewhat need to tick every box’ can get in the way of meeting brilliant candidates, so please don’t hesitate to apply – we’d love to hear from you.
Apply today by completing our online application
Additional Information
Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity – bringing ingenuity to life.
Find out more about Life at PA .
We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits:
Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn)
We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups.
Adjustments or accommodations- Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
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