At a Glance
- Tasks: Lead exciting AI/ML projects and mentor your teammates in data science.
- Company: Join Pearson, a leader in education technology, based in vibrant Central London.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on personal and career development.
- Why this job: Make a real impact on skills development through innovative data science solutions.
- Qualifications: Strong ML background, experience in deploying models, and great communication skills.
The predicted salary is between 70000 - 90000 £ per year.
Pearson is seeking a Senior Data Scientist to help scale their data science capability. This hybrid role is located in Central London with an expectation of 1–2 days in the office weekly.
You will lead DS/ML projects, mentor teammates, and collaborate with stakeholders to enhance skills development through data science.
The ideal candidate has a strong background in ML, experience in deploying models, and the ability to communicate effectively with non-technical partners.
Senior Data Scientist, AI/ML for Enterprise Learning in London employer: Pearson
Pearson is an excellent employer that fosters a collaborative and innovative work culture, particularly for those in the Senior Data Scientist role. With a strong emphasis on employee growth, you will have the opportunity to lead impactful projects while mentoring your teammates in a vibrant Central London setting, all within a hybrid work model that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, AI/ML for Enterprise Learning in London
✨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 Pearson!
✨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 Senior Data Scientist, AI/ML for Enterprise Learning at Pearson.
✨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 Pearson.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist, AI/ML for Enterprise Learning at Pearson, 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 for Enterprise Learning in London
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 Pearson, 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 Pearson. 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 Pearson
✨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 Pearson!
✨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.
