At a Glance
- Tasks: Lead AI products and manage a team of data scientists in a dynamic environment.
- Company: Join LoopMe, a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy flexible hours, competitive pay, stock options, and wellness perks.
- Other info: Be part of a diverse team with excellent career growth opportunities.
- Why this job: Make a real impact by driving innovative AI solutions in a collaborative team.
- Qualifications: Strong background in data science and leadership experience required.
The predicted salary is between 80000 - 100000 £ per year.
Responsibilities
- You own Loop Me’s AI throttling system and lead AI products across the business — a senior role combining technical ownership, product ownership, and commercial partnership.
You lead a team of four within Loop Me’s 17-person Data Science organisation, working directly with commercial, operations, product, and engineering teams and reporting measurable impact to the SLT
- The wider Data Science team — led by Chief Data Scientist Dr Leonard Newnham — operates as a single team across London, Poland, and Ukraine, with a track record of publishing award-winning research in automated bidding.
- This role reports to the Chief Data Scientist
- Own Loop Me’s AI throttling system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance
- Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards
- Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration
- Partner with commercial teams and clients to understand their needs and coordinate releases with technical and non-technical stakeholders
- Partner with operations teams to embed AI products safely and measurably into day-to-day business processes
- Establish clear, evidence-led reporting on progress, risks and measurable commercial impact for senior leadership
- Develop practical business recommendations by turning ambiguous commercial problems into testable data science questions
- Manage technical quality by reviewing model logic, system design and code where needed
Benefits
- Paid Annual Leave and Bank Holidays
- Competitive holiday allowance
- Competitive stock options
- Paid phone bill
- Flexible working hours
- Pension contribution
- Paid Parental Leave - 20 weeks maternity & 4 weeks paternity leave
- Season Ticket Loan
- Travel benefits
- Cycle to work scheme
- Gym Discount & Free Yoga
- Breakfast & great selection of refreshments
- Great company equipment Mac Books for employees
- Career and performance management
- Social events and culture club
- Medical & Dental benefits for US & APAC
Qualifications
- Deep understanding of experimentation, causal measurement, model monitoring and the practical realities of production ML
- Strong commercial experience in data science, machine learning or applied AI, ideally including production systems at significant scale in an adtech environment
- Strong Python, SQL and data engineering literacy, with the ability to go deep technically when required
- Experience leading, coaching or managing data scientists, ML engineers or closely related technical teams
- A track record of owning AI/ML products end to end, from initial idea through production release and measured business impact
- Experience with adtech, real-time bidding, DSPs, SSPs, throttling, pacing or auction systems
- Excellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams
- Experience with Google Cloud, Docker, Kafka, Spark, Airflow, Elastic Search, Click House or similar production infrastructure
- Experience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones
- #J-18808-Ljbffr
Assistant Vice President of Data Science employer: LoopMe
LoopMe is an exceptional employer that champions innovation and growth, offering a dynamic work culture where finance professionals can thrive. With a focus on employee development, hybrid working arrangements, and comprehensive wellness benefits, LoopMe empowers its team to drive impactful financial insights while enjoying a balanced work-life experience in the vibrant Farringdon area. Join us to be part of a high-performing team that values results and fosters personal and professional growth.
We think you need these skills to ace Assistant Vice President of Data Science
Python
SQL
Problem-Solving Skills
Communication Skills
Automation
Data Engineering
Data Governance
