At a Glance
- Tasks: Lead AI/ML projects and mentor junior data scientists to create impactful solutions.
- Company: Join Dowty, a pioneering GE Aerospace company with a focus on innovation.
- Benefits: Enjoy competitive pay, career development, and the chance to work on cutting-edge technology.
- Other info: Collaborative environment with opportunities for growth and leadership.
- Why this job: Make a real difference in aerospace by developing AI solutions that drive value.
- Qualifications: Proven experience in data science and strong mentoring skills required.
The predicted salary is between 60750 - 74250 £ per year.
Dowty, a GE Aerospace company, is seeking a Data Scientist to develop AI/ML and analytics solutions that deliver measurable value.
You will work with cross-functional teams, translate customer requirements into impactful solutions, and support junior team members.
You will collaborate with Dowty leaders to identify high-impact projects and ensure alignment with LEAN initiatives and IT/data systems, reporting to the UK Sr Director of Data Science.
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Senior Data Scientist — AI/ML Lead & Mentor in Gloucester employer: GE Aerospace
At GE Aerospace, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters growth and innovation. Our Lead Facilities and Maintenance Manager role not only provides competitive benefits such as a flexible working arrangement and a comprehensive rewards package, but also encourages professional development through leadership opportunities and continuous improvement initiatives. Located in a vibrant industrial setting, our culture promotes collaboration and excellence, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist — AI/ML Lead & Mentor in Gloucester
✨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 GE Aerospace!
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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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We think you need these skills to ace Senior Data Scientist — AI/ML Lead & Mentor 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.
