Data Science Manager

2 нед. назад

DenmarkEuropeLead

machine learningdata scienceml solutionsinfrastructureteam management

Lead and manage Data Science and Engineering teams focused on Trust-specific problems and ML solutions at .

О компании

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. 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 350 million reviews and 60 million monthly active users across the globe, with 149 billion annual brand impressions, and the numbers keep growing. We have more than 1000 employees and we’re headquartered in Copenhagen, with operations in  Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. 
We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas. 
Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go.

Требования

Domain Expertise : Experienced in complex technical domains (such as fraud detection, healthcare ML, computer vision, autonomous systems, or large-scale LLM deployment), with a natural curiosity to immerse yourself in our domain.
System Architecture & Design : Proven track record delivering scalable systems with multiple connected services, incorporating ML/AI components from concept through to production.
Cloud & Real-Time ML Systems : Practical experience with high-volume live inference and cloud-based ML training/deep learning on large-scale datasets, particularly within GCP.
Advanced Modeling & Precision Optimization : Practical experience training production models with mixed-quality labels and optimizing systems for low false-positive tolerance, paired with applied knowledge of graphs and graph-based machine learning (a significant advantage).
Engineering Leadership & Operations : Proven experience managing data science and cross-functional engineering teams with high delivery velocity, taking full operational responsibility for high-impact production services (including monitoring, maintenance, and incident management).
Hands-on Practice : Strong technical proficiency with reserved time dedicated to hands-on work, allowing you to stay current with modern AI/ML approaches and unblock the team.
People & Stakeholder Management : Skilled in coaching, mentoring, and growing individuals, while building strong, collaborative relationships with cross-functional stakeholders.
Culture & On-Site Presenc e: Thrives in a dynamic, friendly environment, with an enthusiasm for the Trust mission and a commitment to working in person from our Copenhagen office several times a week. 
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, with an extra 5 days holiday allocated after your 1 year anniversary (prorated)
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 Academy and Blinkist
Comprehensive health package, pension, and full access to Headspace, a popular mindfulness app to promote positive mental health
Paid parental leave
Central office with  a laid-back vibe and constant buzz of different languages being spoken everywhere you go It’s complete with a coffee bar, canteen, and table tennis and has a wide variety of refreshments available - you can opt-in for breakfast and lunch at an affordable price
Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials
Opportunity to join the Social Club for a small monthly fee and attend regular social and leisure activities like go-karting, cooking classes, and escape rooms
Employee discounts to restaurants and shops
Tailored leadership development program consisting of workshops, coaching opportunities, and structured feedback mechanisms to enable world-class leadership 
#LI-MG1

Другое

At , 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 open customer 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!
We’re a leading online reviews platform, free and open to all. Our mission is to be a universal symbol of trust. We are well on our way - but there’s still an exciting journey ahead of us. Do you want to join us?
A core value proposition of is Trust. We work hard to ensure that our platform has real content from real people with real experiences. That means eliminating fraudulent reviews and sanctioning suspect behavior to keep our platform authentic. Our Trust Technology team aims to be an established name in the use of advanced technology to safeguard the integrity of online reviews. The Trust teams are composed of both Engineering and Data Science functions, where both are integral to achieving our goals.
We are looking for a skilled Data Science Manager to join the Trust team in our mission. You will lead two teams of passionate and dedicated professionals, including Data Scientists who research Trust-specific problems and design ML solutions for them, and Engineers who build and maintain scalable infrastructure to turn detections into outcomes. You and your team will work within a focus area to develop, deploy, and maintain innovative technology at scale, alongside a cross-functional team of product managers, ML engineers, and designers. You will have the opportunity to collaborate widely across the business including with those in our Legal, Platform Engineering, and Data Science teams within Consumer, B2B, and Commercial.
To thrive in this role, you bring a background in building and scaling complex systems with machine learning at their core. You are a seasoned Data Scientist who enjoys remaining hands-on across the end-to-end lifecycle—from initial concept to production delivery. Bridging data science and engineering comes naturally to you, supported by an adaptable, curious mindset. While not required, prior exposure to fraud detection or online platform integrity is a great plus. 
Team Leadership & Execution : Lead and empower two cross-functional teams of Data Scientists and Engineers dedicated to automated content moderation and fake review detection. Foster technical excellence, support career progression, and champion a transparent, accountable, and safe work environment.
Delivery & Research Ownership : Own delivery across key initiatives, balancing ambitious ML research goals with sustainable engineering practices, operational resilience, and Trust OKRs.
Planning & Scoping : Facilitate technical scoping, estimation, and deliverable prioritization in close collaboration with product and cross-functional partners.
Stakeholder & Talent Management : Partner with Trust Tech leadership to engage, develop, and retain talent while managing clear communication of issues, risks, dependencies, and progress with stakeholders.
 
is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust.
is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team (talent.acquisition@.com)  quoting the role you wish to apply for.