At a Glance
- Tasks: Lead data science projects, shaping technical direction and delivering impactful solutions.
- Company: AWTG, a forward-thinking company focused on data-driven innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team and mentor the next generation of data scientists.
- Why this job: Make a real difference by turning advanced analytics into organisational impact.
- Qualifications: Extensive experience in data science, strong leadership, and programming skills.
The predicted salary is between 80000 - 100000 € per year.
The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users.
Key responsibilities
- Lead the scoping, design and delivery of complex data science products, models and analytical solutions.
- Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices.
- Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges.
- Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools.
- Influence stakeholders by communicating technical options, risks, benefits and evidence-based recommendations.
- Support capability building, mentoring and continuous improvement of the data science practice.
Essential skills and experience
- Extensive experience designing and delivering advanced data science solutions at scale.
- Deep understanding of applied statistics, machine learning, model validation and data science product delivery.
- Strong programming capability and ability to set coding, testing and reproducibility standards.
- Experience working with data engineering, cloud, architecture and software teams to deliver supported solutions.
- Strong stakeholder communication skills, including challenging delivery plans and priorities when required.
- Strong understanding of data ethics, privacy, bias, explainability and governance.
Desirable skills and experience
- Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products.
- Experience setting data science strategy or leading cross-functional technical communities.
- Experience in consulting, public-sector, regulated or high-complexity client environments.
What success looks like
- Complex data science work is delivered with clear standards and measurable business impact.
- Technical choices are well governed, scalable and aligned to delivery realities.
- Data science capability grows through mentoring, reusable patterns and shared practice.
Principal Data Scientist employer: AWTG Ltd
AWTG is an exceptional employer for a Principal Data Scientist, offering a dynamic work culture that fosters innovation and collaboration across multidisciplinary teams. With a strong emphasis on employee growth through mentoring and continuous improvement, AWTG provides unique opportunities to lead impactful data science projects while shaping the future of advanced analytics in a supportive environment. Located in a vibrant area, employees benefit from a stimulating atmosphere that encourages creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Principal Data Scientist role.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your best data science projects, especially those involving machine learning and advanced analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past experiences. Be prepared to explain how you've turned complex data into actionable insights and how you’ve influenced stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Principal Data Scientist role. Highlight your expertise in data science, leadership, and any relevant projects you've led that showcase your ability to deliver impactful solutions.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've applied advanced analytics to solve business challenges and how you’ve influenced stakeholders in previous positions.
Showcase Your Technical Skills:Don’t forget to mention your programming capabilities and experience with machine learning, predictive analytics, and data ethics. We want to see how you can set standards and guide teams in these areas.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at AWTG Ltd
✨Know Your Data Science Inside Out
Make sure you brush up on your advanced data science knowledge, especially in areas like machine learning and applied statistics. Be ready to discuss your past projects and how they delivered measurable business impact.
✨Showcase Your Leadership Skills
As a Principal Data Scientist, you'll be leading teams and influencing stakeholders. Prepare examples of how you've guided teams in selecting methods and tools, and how you've communicated complex technical options to non-technical audiences.
✨Understand the Bigger Picture
Familiarise yourself with the company's goals and how data science can drive those objectives. Be prepared to discuss how you would identify opportunities for applying advanced analytics to solve business challenges.
✨Emphasise Ethical Practices
Given the importance of data ethics and governance, be ready to talk about your approach to responsible AI practices. Discuss how you've ensured model validation, reproducibility, and addressed issues like bias in your previous work.
