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- Tasks: Develop innovative legal tech solutions and optimise processes using AI.
- Company: Leading global law firm with a focus on technology and innovation.
- Benefits: Permanent position, hybrid work model, competitive salary, and career development opportunities.
- Why this job: Join a dynamic team and shape the future of legal tech with AI.
- Qualifications: Extensive data science experience, proficiency in Python and SQL, strong problem-solving skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 60000 - 80000 £ per year.
A leading global law firm is seeking a Senior Resourcing Advisor for the UK & Ireland. The role involves developing innovative legal tech solutions and collaborating with cross-functional teams to leverage AI in optimizing legal processes.
Candidates should have extensive experience in data science, proficiency in Python and SQL, and strong problem-solving skills. This position is permanent and offers a hybrid work model.
Senior AI & Legal Tech Data Scientist (Hybrid) employer: Dentons
Contact Detail:
Dentons Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI & Legal Tech Data Scientist (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to professionals in the legal tech space on LinkedIn. Join relevant groups and engage in discussions to showcase your expertise and passion for AI and data science.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've used them in past projects. We want to see your problem-solving skills in action!
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your innovative legal tech solutions. This is your chance to demonstrate how you can optimise legal processes using AI.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior AI & Legal Tech Data Scientist (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Python and SQL. We want to see how your skills align with the innovative legal tech solutions we're developing.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us about your passion for AI and legal tech, and how you’ve used your problem-solving skills in past roles. We love a good story!
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to optimise legal processes using AI. We’re all about innovation!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our hybrid work model.
How to prepare for a job interview at Dentons
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any innovative legal tech solutions you've developed.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've tackled in your previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how your solutions improved legal processes.
✨Understand the Legal Landscape
Familiarise yourself with current trends in legal tech and AI. Being able to discuss how these trends impact the industry will show that you're not just a data scientist, but someone who understands the broader context of your work.
✨Emphasise Collaboration
Since this role involves working with cross-functional teams, be prepared to talk about your experience collaborating with others. Share specific instances where teamwork led to successful outcomes, demonstrating your ability to communicate effectively across disciplines.