Senior Data Scientist (Applied AI)
Role details
Job location
Tech stack
Job description
We are seeking a Senior Data Scientist to join our Applied AI team to develop intelligent, data-driven product features, and foundational models that serve our products. You will collaborate closely with a cross-functional team of software developers, product managers, designers, data analytics and ML engineers to develop, deploy and maintain innovative AI/ML models at scale. You will have the opportunity to collaborate widely across the business including our Commercial, Digital Sales, and Data Science teams within B2C, Trust and GTM contexts.
What you'll be doing:
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You will be involved in delivering some of our most exciting Data Science projects aimed at improving our B2B SaaS product and Consumer website: from prediction to ranking, natural language processing to search, and recommendation systems to content generation and personalisation
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Great opportunity to make a real product impact by applying the state of the art in AI and ML.
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You will deliver the Data Science component of key strategic initiatives including owning, maintaining and deploying production-ready ML/AI models, and analysing data to establish the scope and impact of your work
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You will identify new product opportunities based on data, interpreting model outcomes and sharing insights to drive the direction of our Data Science work
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You will engage with both technical and non-technical stakeholders & will translate product requirements into Data Science deliverables
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The opportunity to work with leading AI/ML model development and deployment tooling including GCP Vertex AI, GCP BigQuery, Airflow.
Requirements
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Prior knowledge of NLP and Generative AI is amust.
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Proven experience in developing and deploying AI/ML models. You'll have a solid technical background, with hands-on ability in all stages of data preparation, exploration, modeling and deployment
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You have an adaptable product mindset and knowledge of the interface between data science and engineering
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The ability to engage stakeholders, clearly articulating the impact and reasons behind your work, in both a business and technical capacity
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Experience with analytical and quantitative problem solving using advanced statistical techniques, machine learning and generative AI methods, e.g. sentiment and topic modeling, recommendation systems, content generation, forecasting & trend analysis
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Experience in building and deploying production-ready ML models at scale, and solid data engineering skills (e.g. experience with GCP)
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Proven ability to deliver technical projects to a commercial organisation.
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Experience in building and deploying ML models at scale (ideally to support online services), and strong data engineering skills
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Ability in Python and SQL for data manipulation, modeling and scripting.
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Experience in working with large datasets, ideally from tech platforms, e-commerce, or SaaS-type businesses. Experience in use of behavioral data to develop data-driven product features is a big plus
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Proven technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy
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A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD is preferred
Whats in it for you?
- A range of flexible working options to dedicate time to what matters to you
Benefits & conditions
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Competitive compensation package + bonus
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25 days holiday per year, increasing to 28 days after 2 years of employment
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Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community
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Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist
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Pension and life insurance
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Health cash plan, online GP, 24/7, Employee Assistance Plan
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Full access to Headspace, a popular mindfulness app to promote positive mental health
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Paid parental leave
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Season ticket loan and a cycle-to-work scheme
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Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for
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Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials.
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Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more.
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Independent financial advice and free standard professional mortgage broker advice
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Talent acceleration programs: Fast-track your career with our tailored development programs designed to support growth at whatever stage of your career