At a Glance
- Tasks: Lead the data science lifecycle and build impactful machine learning models.
- Company: Join a fast-growing, AI-driven product company focused on diversity.
- Benefits: Enjoy a great benefits package and competitive pay based on your skills.
- Other info: Collaborate with engineering and product teams in a dynamic environment.
- Why this job: Make a real impact with ownership in a high-impact role.
- Qualifications: Strong experience in data science, advanced Python, and machine learning.
The predicted salary is between 63000 - 77000 £ per year.
We’re looking for a Senior/Lead Data Scientist to join a fast-growing, AI-driven product company. This is a hands-on role with real ownership, working closely with engineering and product to build and deploy machine learning models that directly impact the business.
Key Responsibilities
- Own the end-to-end data science lifecycle (from problem definition to monitoring)
- Build, deploy, and maintain machine learning models in production, including Computer Vision applications
- Collaborate with Product and Engineering on data-driven solutions
- Lead experimentation, optimisation, and model evaluation
- Contribute to technical direction and best practices
Key Skills & Experience
- Strong commercial experience as a Data Scientist
- Advanced Python skills
- Experience working with Azure
- Solid grounding in machine learning, statistics, and data modelling
- Ability to communicate clearly with both technical and non-technical stakeholders
- Experience with Computer Vision projects
Why Apply?
- High-impact role with real ownership
- Great benefits package!
If you’re an experienced Data Scientist looking for a senior or lead-level role with genuine influence, this could be a great fit.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
Lead Data Scientist employer: Uneek Global
Uneek Global is an exceptional employer, offering a dynamic work culture that prioritises wellbeing and collaboration. As a Delivery Manager in London, you will have the opportunity to lead innovative data engineering projects while benefiting from a hybrid work model that promotes work-life balance. With a focus on employee growth and development, this role provides a platform for you to enhance your skills and make a meaningful impact within a supportive team environment.
