At a Glance
- Tasks: Join our Life Sciences team to develop data-driven solutions for leading pharmaceutical and biotech companies.
- Company: Capgemini, a global leader in AI-powered business transformation.
- Benefits: Flexible working, access to top learning platforms, and career progression opportunities.
- Other info: Inclusive culture with active employee networks and a commitment to diversity.
- Why this job: Make a real impact on scientific research using cutting-edge technology and data science.
- Qualifications: Degree in STEM; experience with data analytics and machine learning is a plus.
The predicted salary is between 63000 - 77000 £ per year.
As an Engineering Science Consultant within our Life Sciences team, you will combine scientific expertise with data science / AI and software skills to help leading pharmaceutical, biotechnology and consumer health organisations unlock value from their scientific data. Working alongside bio/chemo informaticians, scientists, software engineers and AI specialists, you will develop and deploy data-driven solutions that support research, experimentation and product development. You will apply modern analytics, machine learning and data engineering techniques to biological, chemical and experimental datasets while helping clients transform their R&D capabilities.
In this role you will play a key role in:
- Collaborating with research scientists to understand scientific problems and translate them into data-driven solutions
- Communicating technical findings and recommendations to both scientific and business audiences
- Developing data pipelines and analytical workflows for scientific and research datasets
- Applying machine learning and AI techniques to solve complex life sciences challenges
- Working with biological, chemical, omics, laboratory, clinical and experimental data
- Creating visualisations, dashboards and decision-support tools for scientific stakeholders
- Creating robust, scalable software solutions that integrate data science capabilities into production environments
- Collaborating with industry experts to understand and solve complex problems using data and insights
- Implementing and optimizing algorithms for data processing, feature extraction, and model training
Your Profile:
- Degree, Master’s or PhD in a STEM discipline with additional consideration given to candidates with background in Bioinformatics, Biology or Biochemistry
- Ability to communicate technical concepts clearly to diverse stakeholders
- Analytical and problem-solving capabilities
- Experience working with scientific, biological or chemical datasets
- Experience applying data analytics, machine learning or statistical techniques to real-world problems
Desirable:
- Experience of using programming languages (e.g. Python, R) and associated ML frameworks, e.g. scikit-learn, TensorFlow, PyTorch
- Understanding of data structures, algorithms, and software design principles
Location: Abingdon or London
Flexible and hybrid working: We believe great work happens when people have the flexibility to work in ways that help them perform at their best. We support a hybrid approach that balances collaboration, client needs and individual circumstances, empowering you to manage your work with greater flexibility and autonomy.
Impactful scientific and engineering challenges: Work on cutting-edge engineering and R&D programmes for some of the world’s leading organisations.
Continuous learning: Access world-class training, certifications and technical development opportunities.
Career acceleration: Clear progression pathways across consulting, technical leadership and scientific specialisms.
Continuous growth and development: We invest in your long-term success through regular coaching, constructive feedback, mentoring opportunities and meaningful career conversations. You’ll work closely with your manager and colleagues to identify development opportunities, build new skills, and shape a career path aligned to your ambitions.
Well-being Hub: The global Well-being Hub connects employees across various facets of well‑being: work‑life balance, working hours and network growth.
Free access to learning platforms: Free access for all, to world‑class learning assets and curated programs from Harvard Business Review, Coursera, Udemy, Microsoft, AWS, Google and many more.
Digital campuses and academy: Our engineering academy offers more than 60,000 hours of training, as also our digital campus on GenAI, data or sustainability, support digital learning in the flow of work from awareness to expert certifications.
You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone.
Engineering Science Consultant – Life Sciences (Graduate) employer: Capgemini Japan
Capgemini is an exceptional employer for Engineering Science Consultants, offering a dynamic work culture that fosters collaboration and innovation in the heart of Abingdon or London. With access to world-class training, flexible working arrangements, and a commitment to diversity and inclusion, employees are empowered to grow their careers while tackling impactful scientific challenges alongside industry leaders. The company's focus on continuous learning and well-being ensures that every team member can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Science Consultant – Life Sciences (Graduate)
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We think you need these skills to ace Engineering Science Consultant – Life Sciences (Graduate)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capgemini Japan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Capgemini Japan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Capgemini Japan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
