At a Glance
- Tasks: Guide the use of AI and analytics in legal eDiscovery workflows.
- Company: Epiq, a leader in legal technology solutions.
- Benefits: Competitive salary, flexible working options, and professional growth opportunities.
- Other info: Join a dynamic team and make a real impact in the legal industry.
- Why this job: Shape the future of legal tech with innovative AI solutions.
- Qualifications: Strong eDiscovery experience and excellent communication skills required.
Epiq is seeking an Advanced Technologies Consultant in Greater London to guide defensible use of analytics, machine learning, and generative AI across eDiscovery and related legal data workflows. You will work with Relativity, Reveal AI, and Epiq AI to design workflows, validate models, and present client-ready recommendations.
The role requires strong eDiscovery experience, excellent communication, and the ability to translate technical concepts into practical advice for clients and internal stakeholders.
Senior AI & Analytics Consultant — Legal eDiscovery in London employer: Epiq
Epiq is an exceptional employer for UK Home-Based Transcribers, offering a flexible work environment that allows you to balance your professional and personal life while contributing to a leading global organisation in the Legal Services industry. With opportunities for cross-training on various transcription contracts, Epiq fosters a culture of growth and development, ensuring that employees can enhance their skills and adapt to diverse legal contexts. The supportive atmosphere and commitment to high-quality standards make Epiq a rewarding place to work for those seeking meaningful employment in a dynamic field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI & Analytics Consultant — Legal eDiscovery in London
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We think you need these skills to ace Senior AI & Analytics Consultant — Legal eDiscovery in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
