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Data science manager (applied ai)

Edinburgh
Data science manager
Posted: 6h ago
Offer description

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 data manipulation, modelling and scripting Experience with cloud services, such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible working options to dedicate time to what matters to you Competitive compensation package bonus 25 days holiday per year, increasing to 28 days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist Pension and life insurance Health cash plan, online GP, 24/7 Employee Assistance Plan Full access to Headspace, a popular mindfulness app to promote positive mental health Paid parental leave Season ticket loan and a cycle-to-work scheme Central office location complete with all the snacks and refreshments you can ask for Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more

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