At a Glance
- Tasks: Create innovative AI solutions to optimise legal processes and enhance decision-making.
- Company: Join Dentons, a global leader in legal solutions with a commitment to inclusion and innovation.
- Benefits: Enjoy flexible working hours, a supportive culture, and opportunities for continuous learning.
- Other info: Collaborative environment with excellent career growth and a focus on diversity.
- Why this job: Make a real impact in the legal sector while exploring cutting-edge AI technologies.
- Qualifications: Experience in data science, proficiency in Python, and a passion for AI and innovation.
The predicted salary is between 43200 - 72000 £ per year.
This role involves reporting to the Data Science and AI Governance Lead and being part of a growing data solutions function that is passionate about innovation in the legal sector. You will develop data-driven solutions that optimise legal processes, enhance decision-making, and deliver predictive insights valued by clients globally.
Key Responsibilities:
- Innovation: Conceptualise and develop innovative legal tech solutions utilising machine learning, artificial intelligence, and data analytics. Design and execute proof-of-concepts, moving successful prototypes into cloud-native, production-ready applications using modern AI frameworks.
- Data strategy: Collaborate with data governance and information security teams to establish robust data strategies, ensuring data integrity, compliance, and security in all legal tech initiatives.
- Collaboration: Partner with legal teams, data solutions teams, IT, and external experts to translate business needs into practical, high-impact AI solutions.
- Research: Stay curious and abreast of emerging technologies, trends, and methodologies in legal tech and data science.
- Development: Liaise with internal and external development resources, overseeing project timelines, deliverables and quality of work.
- Training and support: Enhance the AI and data literacy across the team by developing training materials and leading workshops or informal knowledge-sharing sessions.
Experience and Qualifications:
- A deeply curious, experimental, and proactive mindset, with a passion for exploring emerging AI capabilities.
- Extensive experience in data science and analytics, backed by a strong quantitative background.
- Proficiency in Python and SQL, with deep expertise in Python libraries for data analysis.
- Strong understanding of LLM concepts, API orchestration, and agentic workflows.
- Hands-on experience with data engineering tasks, including building ETL/ELT pipelines.
- Familiarity with MLOps and LLMOps practices.
- Practical knowledge of interfacing tools for building interactive AI and data applications.
- Solid experience with cloud computing platforms, ideally Microsoft Azure.
- Excellent collaboration skills, with a demonstrated ability to work effectively with cross-functional teams.
- Strong communication and problem-solving abilities.
Dentons is committed to building an inclusive culture where our people can thrive, regardless of their background or circumstance. We welcome applications from everyone and offer flexible working hours.
Senior Data Scientist employer: Dentons
Dentons is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to thrive in their roles. With a strong focus on professional development and growth opportunities, particularly in the dynamic Corporate team, employees benefit from a structured resource management methodology that enhances both client service delivery and profitability. Located across London, Milton Keynes, and Ireland, Dentons offers a hybrid working model that promotes work-life balance while engaging in meaningful projects that drive transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the legal tech and data science fields. Attend meetups, webinars, or even casual coffee chats to get your name out there and learn about potential opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and data solutions. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for interviews by practising common questions related to data science and AI. Think about how you can demonstrate your problem-solving skills and creativity with real-world examples from your past work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Show Your Curiosity:We love a curious mind! When writing your application, highlight your passion for exploring emerging AI capabilities and how you've pushed the boundaries of innovation in your past roles. Let us see that spark!
Tailor Your Experience:Make sure to align your experience with the key responsibilities listed in the job description. We want to see how your skills in data science, Python, and cloud computing can contribute to our innovative legal tech solutions.
Communicate Clearly:Your ability to communicate complex ideas is crucial. Use clear and compelling language in your application to demonstrate how you can translate technical insights into practical solutions for both technical and non-technical audiences.
Apply Through Our Website:Don’t forget to apply through our careers page! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Dentons
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and the relevant libraries like Pandas and NumPy. Be ready to discuss how you've used these tools in past projects, especially in building AI applications or data pipelines.
✨Showcase Your Curiosity
Demonstrate your passion for innovation by discussing recent trends in AI and legal tech. Share examples of how you've experimented with new technologies or methodologies, and how that curiosity has led to tangible improvements in your work.
✨Communicate Clearly
Prepare to explain complex concepts in a way that's easy to understand for both technical and non-technical audiences. Practice presenting your insights and solutions as if you're talking to a client or a cross-functional team.
✨Collaborate and Connect
Highlight your experience working with diverse teams. Be ready to discuss how you've partnered with legal teams, IT, or external experts to translate business needs into effective AI solutions. Show that you value collaboration and can adapt to different perspectives.
