At a Glance
- Tasks: Develop and enhance forecasting models using cutting-edge tools like machine learning.
- Company: Join Heathrow, a world-class airport with a focus on innovation and collaboration.
- Benefits: Enjoy competitive salaries, generous leave, private health insurance, and performance bonuses.
- Other info: Flexible hybrid working options and excellent career development opportunities.
- Why this job: Make a real impact on airport operations while working with advanced analytics.
- Qualifications: Degree in a numerate discipline with skills in R, Python, SQL, and data modelling.
The predicted salary is between 50000 - 70000 £ per year.
To develop and improve complex models and methodology ensuring Heathrow’s forecasting capability is world class, using cutting edge tools and techniques, such as machine learning, and driving efficiency through automation.
Your role will involve:
- Delivering accurate forecasting, capacity analysis, and predictive insights to support the efficient planning, performance, and operation of the airport.
- Translating complex data and analysis into clear, actionable insights, recommendations, and business implications, applying sound judgement in uncertain and dynamic operational environments.
- Developing, maintaining, and enhancing complex forecasting models, dashboards, and analytical tools, ensuring accuracy, reliability, and accessibility for stakeholders.
- Presenting technical findings and evidence clearly and concisely to a range of internal and external stakeholders, including senior leaders and non-technical audiences.
- Driving continuous improvement by introducing efficient processes, automation, and self-service analytics capabilities, while identifying opportunities to enhance forecasting methodologies and analytical performance.
- Building strong relationships across the airport community to improve access to data, support model development, foster collaboration, and create a culture of trust, innovation, and high performance.
These Skills Are Essential:
- Advanced technical and analytical competence, ideally with a broad interest in aviation.
- Good team working skills.
- Able to manage and plan own work and to work under tight time deadlines.
- Object oriented programming experience is crucial, particularly in R, Python, SQL, and must be able to quickly learn new analytical tools such as PowerBi.
- A good knowledge of forecasting, machine learning and data modelling approaches.
Ideally, you will also have:
- Educated to degree level in a numerate discipline, with advanced understanding of statistics.
- A good understanding of Spark & Hadoop.
- Broad knowledge of Databricks and Heathrow is desirable.
Our rewards:
We offer competitive salaries and excellent benefits that will support you now and in the future. As well as performance-based annual bonuses and our longer-term Share in Success Bonus plans, we also offer generous annual leave allowances and market-leading pensions. With family friendly policies, access to private health insurance and a wide range of wellbeing tools, we’ll support you to be at your best inside and outside work. And of course, we’ll provide varied learning and development opportunities too.
Working Location:
Our Hybrid working approach offers the opportunity for colleagues in some roles to work from home for an average of two days a week, providing the flexibility to work in an agile way whilst ensuring we deliver for the operational needs of Heathrow. Working arrangements vary from team to team and will be confirmed during the recruitment process. You’ll need to be based in the UK and within a commutable distance to Heathrow.
Sustainable Travel to work:
Heathrow’s Sustainable Travel Guide sets out easy and sustainable travel options that everyone can access.
Forecasting Data Scientist in Hounslow employer: Heathrow
Heathrow Airport is an exceptional employer, offering a dynamic work environment where innovation meets operational excellence. As a Data Governance Lead, you will play a pivotal role in transforming the airport into a digitally advanced hub, supported by competitive salaries, generous benefits, and a commitment to employee growth through varied learning opportunities. With a hybrid working model and a strong focus on inclusivity, Heathrow fosters a culture that values diverse talent and promotes sustainable practices, making it an attractive place for meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Forecasting Data Scientist in Hounslow
✨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 Heathrow!
✨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 Forecasting Data Scientist at Heathrow.
✨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 Heathrow.
✨Apply Directly through Our Website
When you find a suitable opening like Forecasting Data Scientist at Heathrow, 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 Forecasting Data Scientist in Hounslow
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 Heathrow, 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 Heathrow. 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 Heathrow
✨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 Heathrow!
✨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.
