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- Tasks: Lead the development of AI-driven products in legal and business services.
- Company: Innovative law firm focused on data and AI solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Join a diverse team committed to innovation and mentorship.
- Why this job: Shape the future of legal tech with cutting-edge AI and data strategies.
- Qualifications: Extensive experience in Data Science, ML, and GenAI, plus strong Python and SQL skills.
The predicted salary is between 70000 - 90000 £ per year.
Saragoça da Matta & Silveiro de Barros - Sociedade de Advogados, R.L. is looking for a Lead Data Scientist to define and deliver data and AI-enabled products across legal and business services in Greater London. This senior role involves technical strategy, stakeholder engagement, and mentoring teams.
The ideal candidate has:
- Significant experience in Data, ML, and GenAI initiatives
- Strong skills in Python and SQL
- Expertise in document intelligence
Join a firm dedicated to innovation and inclusion.
Senior Data Scientist & GenAI Architect employer: Saragoça da Matta & Silveiro de Barros - Sociedade de Advogados, R.L.
Contact Detail:
Saragoça da Matta & Silveiro de Barros - Sociedade de Advogados, R.L. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist & GenAI Architect
✨Tip Number 1
Network like a pro! Reach out to professionals in the legal and data science fields 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! Research common questions for Data Scientist roles, especially around ML and GenAI. Practise your answers and be ready to showcase your Python and SQL skills with real-world examples.
✨Tip Number 3
Don’t underestimate the power of personal branding. Update your LinkedIn profile to reflect your experience and projects in data and AI. Share articles or insights related to document intelligence to position yourself as a thought leader.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience in technical strategy and stakeholder engagement to stand out from the crowd.
We think you need these skills to ace Senior Data Scientist & GenAI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data, ML, and GenAI initiatives. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for innovation and inclusion, and how you can contribute to our mission in the legal and business services sector.
Showcase Your Mentoring Skills: Since this role involves mentoring teams, give us examples of how you've successfully guided others in previous positions. We love seeing candidates who can inspire and uplift their colleagues!
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 with Saragoça da Matta & Silveiro de Barros!
How to prepare for a job interview at Saragoça da Matta & Silveiro de Barros - Sociedade de Advogados, R.L.
✨Know Your Data Inside Out
Make sure you’re well-versed in your past projects involving data, machine learning, and GenAI. Be ready to discuss specific challenges you faced, how you overcame them, and the impact of your work. This will show your depth of knowledge and experience.
✨Showcase Your Technical Skills
Brush up on your Python and SQL skills before the interview. You might be asked to solve a problem or explain your approach to a technical challenge. Practising coding problems or discussing your favourite libraries can really set you apart.
✨Engage with Stakeholders
Since this role involves stakeholder engagement, prepare examples of how you've successfully communicated complex data concepts to non-technical audiences. Highlight your ability to bridge the gap between technical teams and business needs.
✨Emphasise Mentoring Experience
As a senior role, mentoring is key. Think of instances where you’ve guided junior team members or led training sessions. Be ready to discuss your mentoring style and how you foster a collaborative environment.