Job Specifications
At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest independent consumer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust!
From reviews to user behaviours to internal systems, at Trustpilot we truly have big data. And, in our Applied AI team, we are leveraging AI and ML to transform data into value, drive product innovation, improve user experience, enrich Trustpilot's data ecosystem and enhance business growth. We are seeking a Data Science Manager to join our Applied AI team, to help us in our mission.
We are seeking a candidate with a proven track record in managing and developing a team of Data Scientists specializing in Applied AI, across junior, mid-level, and senior roles. The ideal candidate will also possess hands-on experience throughout the entire ML modeling lifecycle, from initial concept to production deployment. You will collaborate with cross-functional teams in product management, UX, data analytics, and engineering across various product contexts. This role involves managing the delivery and maintenance of highly impactful, innovative AI/ML solutions at scale.
To effectively fulfil this role, you will have an extensive technical background and several years of experience as a Data Scientist / Applied AI Scientist before transitioning into the leadership track. You are a lifelong learner — across technology, leadership, and ways of working — and you stay up to date with industry standards and best practices. You believe that diversity in teams leads to improved collaboration and promotes a culture of continuous feedback and learning.
What You’ll Be Doing
You will line manage a small team of Data Scientists
Manage the delivery of multiple Applied AI projects and balance delivery with Applied AI best practices and standardization
Collaborate closely with cross-functional teams including product management, UX, data analytics, engineering, across multiple product contexts
You are able to engage effectively with both technical and non-technical stakeholders, translating product/business requirements into Applied AI deliverables, and occasionally contribute to hands-on delivery
Prioritize and shape Applied AI (AAI) deliverables across product innovation, maintenance, research, and foundational efforts, considering the roadmaps and needs of multiple product teams, the Applied AI Center of Excellence (COE), and DataOps/MLOps requirements and efforts
Using your existing knowledge of NLP, topic modelling, recommendation, classification and generative AI, you will identify opportunities to improve our existing AI models
Leveraging your extensive experience in model deployment and maintenance, and collaborating with the MLOps team to identify opportunities for improvements in deployment practices, standardize processes, and minimize the manual effort associated with model maintenance
Promote a culture of collaboration, accountability, technical excellence, innovation, and high performance
Attract, engage, and retain Applied AI Scientists, supporting their growth
Ensure teams have high technical proficiency and aim for quality
Manage and mitigate high-risk elements of major initiatives, ensuring alignment and transparency with cross-functional stakeholders
Enable other functions to perform at their best through effective, enduring partnerships
Who You Are
Extensive experience as a Data Scientist / Applied AI Scientist before transitioning into the leadership track in the technology sector or in a technical consultancy
Solid experience in leading a team of Data Scientists, prioritising work, setting objectives, and personal development in the technology sector or in a technical consultancy
Ability to use data and metrics to inform decisions, effect change, and align Applied AI efforts with business/product goals
Extensive stakeholder management experience with a focus on working with the wider business and the ability to create alignment across teams
Great communication skills - both with technical and non-technical stakeholders
An aspiration to contribute to the future of Trustpilot, and the ability to make crucial technical decisions, in a pragmatic way
Experience with analytical and quantitative problem solving using advanced statistical techniques, ML and generative AI methods for online content, e.g. sentiment from text, sequence analysis, forecasting and trend analysis
Experience in building and deploying reproducible, production-ready AI/ML models at scale, coupled with solid data engineering skills
Prior knowledge of NLP and Generative AI is essential
Experience in working with large datasets from tech platforms, e-commerce, or SaaS products. Experience in use of behavioral data and AI/ML methods to develop intelligent data-driven product features
Experience in Python, R & SQL for d
About the Company
Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve.
Today, we have more than 320 million reviews and 70 million monthly active users across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,0...
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