Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data solutions and provide expert consultation on ML/Gen AI data collections.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by transforming complex data needs into actionable solutions.
- Qualifications: Experience in ML data operations and strong customer communication skills required.
- Other info: Dynamic role with excellent career advancement opportunities in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them.
Key job responsibilities:
- Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements.
- Coordinate across teams to ensure seamless delivery and stakeholder alignment.
- Own relationships with customer scientists, becoming their go-to partner for ML data solutions.
- Provide consultation on ML workflow capabilities, helping customers maximize value.
- Monitor and optimize collection health metrics to ensure customer success.
- Drive customer adoption through providing technical value and the provision of an exemplary customer experience.
You'll also:
- Guide customers on workflow feasibility and data collection best practices.
- Collaborate with implementation teams to define and validate technical requirements.
- Evaluate scalability of annotation scenarios and provide strategic recommendations.
- Influence technical documentation and guidelines.
BASIC QUALIFICATIONS:
- Demonstrated experience in effectively defining optimal data creation strategies and executing them.
- Associate's degree or equivalent work experience.
- 2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts.
- Outstanding customer communication and management skills, especially in technical consultation.
- Ability to translate complex technical concepts into tactical applications.
PREFERRED QUALIFICATIONS:
- Bachelor's degree in Business, Computer Science, or related field.
- Working knowledge of JSON, Command Line, and Python.
- Project management expertise.
- Technical account management experience.
- Background in customer success or solution consulting.
Data Solutions Lead, Data Collection Excellence in Cambridge employer: Evi Technologies Limited
Contact Detail:
Evi Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solutions Lead, Data Collection Excellence in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Data Solutions Lead role. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your ML/Gen AI knowledge. Be ready to discuss how you've tackled data collection challenges in the past and how you can bring value to the team. We want to see your passion shine through!
✨Tip Number 3
Showcase your customer management skills! During interviews, share examples of how you've built strong relationships with clients and delivered exceptional service. This is key for a role that focuses on customer success.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Solutions Lead, Data Collection Excellence in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Solutions Lead. Highlight your experience in ML data operations and customer management, and don’t forget to showcase any relevant technical skills like Python or JSON.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the role. Talk about your experience with data collection strategies and how you’ve successfully managed customer relationships in the past.
Showcase Your Technical Skills: Since this role involves a lot of technical consultation, make sure to highlight your understanding of ML workflows and data annotation. If you have any projects or experiences that demonstrate these skills, include them!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to see your application and get you into the process. Don’t miss out!
How to prepare for a job interview at Evi Technologies Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and best practices in ML data operations. Brush up on your knowledge of data annotation and workflows, as you'll need to demonstrate your expertise in transforming complex research objectives into actionable data collection requirements.
✨Showcase Your Customer Management Skills
Prepare examples that highlight your outstanding customer communication and management skills. Think about times when you’ve successfully built relationships with clients or provided technical consultation that maximised their value. This will show you can be the go-to partner for customer scientists.
✨Demonstrate Technical Savvy
Familiarise yourself with tools and languages mentioned in the job description, like JSON and Python. Be ready to discuss how you've used these in past projects, especially in relation to ML workflows. This will help you stand out as a candidate who can provide real technical value.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to evaluate scalability or recommend strategies for data collection. Practice articulating your thought process clearly and concisely, as this will showcase your ability to translate complex concepts into tactical applications.
