At a Glance
- Tasks: Design and implement NLP pipelines for millions of journal articles and extract valuable insights.
- Company: Join John Wiley & Sons Ltd., a leader in innovative publishing and technology.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in AI applications.
- Why this job: Shape the future of AI by working on cutting-edge NLP projects that make a real difference.
- Qualifications: Proven experience in data science and NLP, with strong collaboration skills.
The predicted salary is between 60750 - 74250 £ per year.
John Wiley & Sons Ltd. is seeking a senior data scientist to own domain-specific content modeling end to end.
You will design NLP pipelines over millions of journal articles, extract entities, classifications, claims, and summaries, and compare traditional NLP with LLM-based approaches.
You will work with editors, product managers, and engineers to align modeling work with product decisions.
You will build evaluations, manage golden sets with SMEs, and shape how agentic AI applications reason
#J-18808-Ljbffr
Senior NLP Data Scientist - Production-Ready AI in London employer: 3310 John Wiley & Sons Ltd.
Wiley is an exceptional employer that champions bold ideas and diverse perspectives, fostering a culture where your curiosity and ambition can drive meaningful impact. Located in Bognor Regis, our Customer Service team thrives in a fast-paced environment, offering opportunities for professional growth through continual learning and internal mobility. With benefits like meeting-free Friday afternoons and a commitment to fair compensation, we empower our employees to innovate and excel while building strong relationships across teams.
Contact Details:
3310 John Wiley & Sons Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior NLP Data Scientist - Production-Ready AI 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 3310 John Wiley & Sons Ltd.!
✨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 NLP Data Scientist - Production-Ready AI at 3310 John Wiley & Sons Ltd..
✨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 3310 John Wiley & Sons Ltd..
✨Apply Directly through Our Website
When you find a suitable opening like Senior NLP Data Scientist - Production-Ready AI at 3310 John Wiley & Sons Ltd., 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 NLP Data Scientist - Production-Ready AI 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 3310 John Wiley & Sons Ltd., 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 3310 John Wiley & Sons Ltd.. 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 3310 John Wiley & Sons Ltd.
✨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 3310 John Wiley & Sons Ltd.!
✨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.
