Your Career
You will use your domain knowledge and technical skills to truly understand and solve the challenges faced by our clients, who are all world‑leading companies in science and technology. Your activities will vary from project to project, but will broadly involve data science and software engineering, from analysing and interpreting client data to developing bespoke software solutions in a range of programming languages. Projects themselves are varied, from developing smarter drug trials to controlling the orbit and attitude of satellites.
Your Future
The key to our success is the quality of our staff. We value your academic background as much as technical skills, so we do not expect you to be a software expert. If you have a good grounding in Python and a keen interest to learn, we will invest in you to develop professional skills in new technologies and languages. We will provide extensive training throughout your career and many courses often lead to recognised qualifications.
Working on our projects is hugely rewarding and you will never stop learning and developing. With support from your manager, you will shape your own career, and we will help you develop the skills you need to achieve your ambitions. Career paths can be focused on technology, domain expertise or people management, or a combination of these.
About You
* PhD in a scientific field within STEM, with a strong preference for disciplines such as technical biosciences, bioinformatics, or cheminformatics.
* Genuine interest in software development or complex data analysis. Preference for Python, but not limited to it.
* Demonstrated proficiency or aptitude in software development and/or data science is required.
* Applicants do not need to have completed their viva, but they should have submitted their thesis or be close to submission.
Personality
* Enjoy tackling / solving complex problems or handling and analysing complex datasets.
* We value flexibility and adaptability in our team, and encourage applicants who can demonstrate the ability to handle evolving tasks and responsibilities.
We are looking for a creative problem solver with an excellent academic record in science, mathematics or engineering. Though not essential, we value PhDs and we recognise and reward the additional skills they bring. You should have excellent interpersonal skills and be comfortable explaining complex concepts to clients and colleagues from all backgrounds.
You should understand and enjoy programming in Python and be able to write a few lines of code. You should also know how various data science techniques, from statistics to machine learning, are used to interpret complex data.
Security Clearance
To be successfully appointed to this role, you will need to undergo Baseline Personnel Security Standard checks. No nationality or residency restrictions apply, though recent residence outside of the UK may require additional checks.
Culture and Benefits
We are proud of our amazing culture, where a positive attitude and a commitment to continuous learning are valued. The wellbeing and engagement of all staff is our priority, and we work in a collaborative and supportive environment with a good work‑life balance.
As well as a competitive starting salary, we offer a range of benefits you can select to fit your needs. We encourage flexible working and trust staff to balance project demands with personal commitments. Sometimes you will be required to work on client sites within easy reach of your base location or attend remote meetings with a geographically dispersed team. We also meet up with colleagues to work together and share ideas.
Equal Opportunity
We are dedicated to creating a diverse environment and are proud to be an equal‑opportunity employer. We appreciate individuals for who they are and value the diversity they bring to the workplace.
Why Capgemini Engineering?
Shape your path: You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
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