Senior Data Scientist, Trustpilot
Applied Artificial Intelligence
Offers bonus
Consumer review website
Open for applications
Consumer review website
1001+ employees
Open for applications
Offers bonus
1001+ employees
Company mission
To bring people and businesses closer together to create ever-improving experiences for everyone.
Role
Who you are
- Prior knowledge of NLP and Generative AI is a must
- 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
- You have an adaptable product mindset and knowledge of the interface between data science and engineering
- The ability to engage stakeholders, clearly articulating the impact and reasons behind your work, in both a business and technical capacity
- 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
- Experience in building and deploying production-ready ML models at scale, and solid data engineering skills (e.g. experience with GCP)
- Proven ability to deliver technical projects to a commercial organisation
- Experience in building and deploying ML models at scale (ideally to support online services), and strong data engineering skills
- Ability in Python and SQL for data manipulation, modeling and scripting
- 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
- Proven technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy
- A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD is preferred
- Don't worry if you're looking at this job description and feel like you don't meet all the requirements, we'd still really like to hear from you!
What the job involves
- 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
- 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
- Great opportunity to make a real product impact by applying the state of the art in AI and ML
- 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
- You will identify new product opportunities based on data, interpreting model outcomes and sharing insights to drive the direction of our Data Science work
- You will engage with both technical and non-technical stakeholders & will translate product requirements into Data Science deliverables
- The opportunity to work with leading AI/ML model development and deployment tooling including GCP Vertex AI, GCP BigQuery, Airflow
- Opportunities to work in a friendly, diverse, innovative, international team and workplace
Salary benchmarks
Our take
Fuelled by the rise of the consumer voice, Trustpilot began with the vision that a brand's future is trust and transparency powered. Since launch, the site has hosted over 300 million reviews for hundreds of thousands of businesses.
The company works hard to make sure customers are reading reviews based on real experiences and take an active stance in combating fake reviews. This includes forming a partnership with Veriff to offer identity verification services to the community.
Trustpilot earns a majority of its revenue from companies that subscribe to its services. This enables companies to collect reviews at key moments in customer journeys, showcase their reviews elsewhere, and unlock customer insights. After a successful IPO back in 2021, the company has continued to grow and maintains it status as a trusted tool for consumers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Mar 2019
$55m
SERIES E
Jan 2017
$7.5m
LATE VC
Total funding: $179.4m
Company benefits
- Maternity & Paternity pay
- Train travel scheme
- '20% time' - work on anything you’d like
- 28 days holiday (excl. bank holidays)
- Work from home opportunities
- Pension and life insurance
- Full access to Headspace
- Regular events and socials
- Health cash plan, online GP, 24/7, Employee Assistance Plan
- And more! (Varies by location)
Company HQ
København K, København
Leadership
Adrian Blair
(CEO)CEO of the company since 2023. Also Co-Founder and Chair at Circl. Former CBO at Cera, CEO at Dext and Global COO of JUST EAT.
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