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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: Mentorship opportunities in a dynamic and inclusive environment.
- Why this job: Shape the future of legal tech with cutting-edge AI and data strategies.
- Qualifications: Extensive experience in Data Science, ML, GenAI, Python, and SQL.
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, and expertise in document intelligence. Join a firm dedicated to innovation and inclusion.
Senior Data Scientist & GenAI Architect in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the legal and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects in Data, ML, and GenAI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, SQL, and document intelligence. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who are passionate about innovation and inclusion. Your dream job could be just a click away!
We think you need these skills to ace Senior Data Scientist & GenAI Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your expertise in Data, ML, and GenAI initiatives, as well as your proficiency in Python and SQL.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your past work in document intelligence and how you've engaged stakeholders in previous projects.
Showcase Your Technical Strategy Skills: In your application, emphasise your experience in defining and delivering data and AI-enabled products. We want to see how you've contributed to technical strategy in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves and you can easily keep track of your application status.
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
Since the role requires strong skills in Python and SQL, prepare to demonstrate your proficiency. You might be asked to solve a problem on the spot or explain your approach to coding challenges. Brush up on relevant algorithms and data structures to impress your interviewers.
✨Engage with Stakeholders
This position involves stakeholder engagement, so be prepared to discuss how you’ve successfully communicated complex data concepts to non-technical audiences. Share examples of how you’ve collaborated with teams to deliver AI-enabled products, highlighting your ability to bridge the gap between tech and business.
✨Emphasise Mentorship Experience
As a senior role, mentoring is key. Think of instances where you’ve guided junior team members or led training sessions. Discuss your approach to fostering a collaborative environment and how you’ve helped others grow in their data science careers.