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- Tasks: Lead data initiatives and design innovative ML solutions for legal and business services.
- Company: Join DLA Piper, a global leader in legal services with a focus on innovation.
- Benefits: Competitive salary, mentorship opportunities, and the chance to influence AI governance.
- Other info: Dynamic team environment with opportunities for professional growth and leadership.
- Why this job: Make a real impact in a senior role while shaping the future of AI in law.
- Qualifications: Expertise in Python, SQL, Azure, and experience in regulated environments required.
The predicted salary is between 70000 - 90000 £ per year.
DLA Piper International LLP is seeking a Lead Data Scientist in Greater London to deliver data and AI-enabled products across legal and business services. This senior role involves defining technical strategies, designing ML solutions, and managing stakeholder relationships effectively.
Candidates should have strong expertise in Python, SQL, and Azure, along with significant experience leading data initiatives in regulated environments. The position offers opportunities to influence AI governance and mentor teams, ensuring impactful, measurable outcomes.
Senior Data Scientist & GenAI Architecture Lead employer: DLA Piper International LLP
Contact Detail:
DLA Piper International LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist & GenAI Architecture Lead
✨Tip Number 1
Network like a pro! Reach out to professionals in the legal and tech sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and Azure, and have examples of your past projects that demonstrate your leadership in data initiatives.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. We recommend checking out our website for tailored job listings that suit your skills and aspirations.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to show your genuine interest in the role.
We think you need these skills to ace Senior Data Scientist & GenAI Architecture Lead
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python, SQL, and Azure right from the get-go. We want to see how your skills align with the role, so don’t hold back on showcasing your experience leading data initiatives!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your previous experiences relate to defining technical strategies and designing ML solutions. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and how you can contribute to our team. Avoid jargon unless it’s relevant!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at DLA Piper International LLP
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and Azure skills. Be ready to discuss specific projects where you've used these technologies, especially in regulated environments. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Leadership Skills
As a Senior Data Scientist, you'll be expected to lead initiatives and mentor teams. Prepare examples of how you've successfully managed stakeholder relationships and led data projects. Highlight any experience you have in influencing AI governance as well.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving abilities and understanding of machine learning solutions. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with non-technical stakeholders.
✨Align with Their Vision
Research DLA Piper's approach to data and AI-enabled products. Understand their business model and how your role as a Lead Data Scientist fits into their strategy. This will help you articulate how you can contribute to their goals during the interview.