At a Glance
- Tasks: Lead the development of AI solutions for legal and professional services.
- Company: Join kadence, a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working arrangements, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in the legal sector.
- Why this job: Shape the future of legal tech with cutting-edge AI and make a real difference.
- Qualifications: PhD or equivalent experience in deep learning, leadership skills, and expertise in PyTorch/Transformers.
The predicted salary is between 75600 - 92400 £ per year.
kadence is seeking a Lead Applied Scientist to advance search-led AI solutions for legal and professional services domains.
You will design and deploy end-to-end document understanding systems, build semantic chunking models, and develop knowledge graph pipelines that link heterogeneous legal knowledge across products.
The role demands a Ph D or equivalent research experience, leadership skills, and strong deep learning expertise with Py Torch/Transformers.
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Lead AI Scientist, Legal NLP & GenAI employer: Kadence
At kadence, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our remote work environment empowers Applied AI Engineers to thrive while contributing to cutting-edge software solutions for enterprise customers. With a strong emphasis on employee growth and development, we offer unique opportunities to shape the future of AI technology in a supportive and dynamic setting.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Scientist, Legal NLP & GenAI
✨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 Kadence.
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We think you need these skills to ace Lead AI Scientist, Legal NLP & GenAI
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 Kadence, 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 Kadence. 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 Kadence
✨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 Kadence!
✨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.
