At a Glance
- Tasks: Lead innovative data science projects and shape technical direction for impactful outcomes.
- Company: AWTG, a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on continuous improvement and mentoring.
- 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 in London 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, AWTG provides opportunities for mentoring and continuous improvement, ensuring that your expertise in data science translates into meaningful organisational impact. Located in a vibrant environment, the company champions responsible AI practices and values the contributions of its employees, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist in London
✨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 leadership experience. Be ready to discuss how you've influenced stakeholders and delivered complex data science solutions in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Principal Data Scientist in London
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. We want to see how you can shape technical direction and deliver impactful solutions!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your experience with advanced analytics and how you've influenced stakeholders in the past. Remember, we love seeing your personality come through!
Showcase Your Technical Skills:In your application, don't forget to mention your programming capabilities and any experience with machine learning or data engineering. We’re looking for someone who can set standards and guide teams, so make sure to highlight those skills clearly.
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 don’t miss out on any important updates. Plus, it shows you’re keen on joining our team at StudySmarter!
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, model validation, and applied statistics. Be ready to discuss specific projects where you've successfully delivered complex data science solutions and how they made an impact.
✨Showcase Your Leadership Skills
As a Principal Data Scientist, you'll need to lead teams and influence stakeholders. Prepare examples of how you've guided teams in selecting methods and tools, and how you've communicated technical options effectively. Highlight your experience in mentoring and building capability within data science practices.
✨Understand the Business Context
Familiarise yourself with the business challenges that the company faces and think about how your skills can address these. Be ready to discuss how you've identified opportunities for applying predictive analytics or optimisation in previous roles, and how those solutions benefited the organisation.
✨Prepare for Ethical Discussions
Given the importance of data ethics and governance in this role, be prepared to discuss your understanding of these topics. Think about how you've approached issues like bias, explainability, and privacy in your past work, and be ready to share your thoughts on responsible AI practices.
