At a Glance
- Tasks: Lead data science initiatives and drive digital transformation in the water sector.
- Company: Join Stantec, an award-winning digital team with a global presence.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentoring and innovation.
- Why this job: Make a real impact by using advanced analytics to solve complex challenges.
- Qualifications: Expertise in Python, data visualisation, and machine learning required.
The predicted salary is between 60000 - 80000 £ per year.
The Opportunity
Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We’re seeking a Principal Data Scientist to join our award‑winning digital team at Stantec. You will be working alongside leading analysts and data engineering experts to transform how we and our clients harness data. As a key member of our team, you’ll play a critical role in shaping digital strategies, particularly within the water sector; helping clients optimise their assets, plan smarter investments, and improve environmental outcomes through cutting‑edge analytics. This role can be based from either our High Wycombe, London or Brighton offices, with hybrid working allowing for a mix of in‑office and home working.
What You'll Be Doing
- Leading Data Science Initiatives – apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation.
- Deriving Powerful Insights – use predictive analytics and optimisation techniques to help clients make smarter, data‑driven decisions.
- Building Intelligent Tools – develop automated solutions that enhance efficiency and provide clear, actionable insights.
- Driving Digital Innovation – work with technology and data to shape digital solutions that transform industry processes.
- Client Collaboration & Technical Delivery – partner directly with clients in the water industry, understand their needs, design solutions, and deliver high‑quality results.
- Mentoring & Team Leadership – support junior colleagues, ensuring technical excellence and professional development within the team.
- Shaping the Future of Our Digital Services – influence Stantec’s growth by scoping proposals, contributing to technical standards, and winning new projects.
About You
You’ll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding of the MS Power Platform and can incorporate it into solution designs and manage other team members to develop solutions in Power BI and Power Apps. Beyond technical skills, you’ll be a proactive problem solver, an analytical thinker, and a true innovator—someone who can tell a compelling story with data and inspire change across our clients and projects.
About Stantec
The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years, planning, designing, delivering and managing the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities.
Principal Data Scientist - Water Sector in Brighton employer: Stantec
Stantec is an exceptional employer that empowers its employees to make a significant impact in the energy sector through innovative projects like hydropower and energy building design. With a strong focus on professional development, flexible working arrangements, and a collaborative work culture, Stantec fosters an environment where engineers can thrive and grow their careers while contributing to meaningful change in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist - Water Sector in Brighton
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Stantec!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal Data Scientist - Water Sector at Stantec.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Stantec.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Scientist - Water Sector at Stantec, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Principal Data Scientist - Water Sector in Brighton
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Stantec, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Stantec. 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 Stantec
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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 Stantec!
✨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.
