At a Glance
- Tasks: Lead AI/ML projects and mentor junior data scientists in a dynamic environment.
- Company: Join Dowty, a cutting-edge GE Aerospace company focused on innovation.
- Benefits: Competitive salary, career growth, and the chance to work with advanced analytics.
- Other info: UK Security Clearance needed; engage with cross-functional teams for impactful solutions.
- Why this job: Make a real impact in aerospace by transforming data into actionable insights.
- Qualifications: Proven experience in data science and strong leadership skills required.
The predicted salary is between 60000 - 75000 £ per year.
Dowty, a GE Aerospace company, is seeking a Sr Staff Data Scientist to lead AI/ML and advanced analytics initiatives.
You will work with cross-functional teams to translate customer requirements into impactful solutions, and mentor junior colleagues.
Based in the Dowty office in the UK, you will engage with stakeholders, drive projects with FLIGHT DECK oriented processes, and ensure analytics are deployable within existing IT and data systems.
UK Security Clearance is required.
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Senior Data Scientist - AI/ML Leader for Flight Deck in Gloucester employer: Ge Aerospace
At GE Aerospace in Bishop's Cleeve, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. As a Manufacturing Engineer, you'll benefit from flexible working arrangements, comprehensive professional development opportunities, and the chance to make a tangible impact in the aerospace industry. Join us to be part of a team that values your contributions and supports your growth in a cutting-edge environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - AI/ML Leader for Flight Deck in Gloucester
✨Get Involved in Data Science Meetups
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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 Ge Aerospace.
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When you find a suitable opening like Senior Data Scientist - AI/ML Leader for Flight Deck at Ge Aerospace, 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 Senior Data Scientist - AI/ML Leader for Flight Deck in Gloucester
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 Ge Aerospace, 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 Ge Aerospace. 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 Ge Aerospace
✨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 Ge Aerospace!
✨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.