Similar Jobs
Fintech • Mobile • Payments • Software • Financial Services
As a Lead Data Scientist for Marketing at Wise, you'll develop predictive models for Customer Lifetime Value, assist marketing strategies, evaluate growth opportunities, and collaborate with Data Analysts.
Top Skills:
Customer Lifetime Value ModelingData ModelingMarketing Mix ModelsPredictive Analytics
Fintech • Mobile • Payments • Software • Financial Services
The Staff Data Scientist will lead the development of advanced machine learning models for fraud detection, mentor team members, and enhance data strategies for robust model training.
Top Skills:
AIAnomaly DetectionGraph-Based ModelsMachine LearningNeural NetworksTransformers
Big Data • Insurance • Analytics
Develop ML models to predict claims outcomes and fraud, collaborate with ML Engineers, monitor model performance against commercial KPIs, and present findings to stakeholders.
Top Skills:
Cloud EnvironmentsMl LibrariesPythonSQL
At Peak21, we specialize in acquiring large direct-to-consumer (D2C) brands across the United States, Europe, and Asia, in addition to incubating our own. With a portfolio of D2C brands generating $200 million in sales, all bootstrapped and profitable, we are dedicated to fostering growth and innovation in the D2C sector. We are currently seeking a Data Scientist to join our dynamic team.
This position is full time in our London office.
What makes this an exciting opportunity?
- Opportunity to join a well-funded startup with top-tier investors
- Work with a highly experienced and entrepreneurial team
- Competitive compensation package
What You'll Do
- Consult with management and relevant stakeholders to define goals for business intelligence
- Work in a collaborative cross-functional team delivering business-relevant data analytics and insights for brands to support their strategies in merchandising, PPC, CRM, influencer marketing, and others
- Own and manage the data landscape for use in our reporting, including sales data, marketing spend (for various e-commerce companies)
- Oversee development of dashboards and report creation
- Support users in using dashboards and reports
- Review and validate data and maintain data sources
- Communicate insights to senior management and across the organization
- Analyze and synthesize data; report back findings with recommendations
- Oversee team of analysts
Who You Are
- You have multiple years of professional experience as a Data Scientist. Ideal candidates come from rigorous fields like management consulting and investment banking
- You have a Master’s degree or above in a relevant field like Economics, Engineering, Computer Science, Machine Learning, Artificial Intelligence, or others
- Experience programming for data analysis
- Extreme rigor when it comes to solving problems and data analysis
- Able to handle large amounts of data
- Strong attention to detail
- Fluent English speaker
- Excellent communication skills
- Able to work in a fast-paced environment
If you have never received training in writing a cover letter before, please search online for guidelines on how to write a cover letter. We take cover letters very seriously!
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
