Peak 21 Logo

Peak 21

Data Scientist

Posted 6 Days Ago
Be an Early Applicant
London, Greater London, England
Mid level
London, Greater London, England
Mid level
As a Data Scientist at Peak21, you'll define business intelligence goals, analyze and synthesize data, create dashboards, validate data, and communicate insights. Collaboration with a cross-functional team to deliver data analytics to support various strategies will be essential. You'll also oversee a team of analysts.
The summary above was generated by AI

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!

Similar Jobs

15 Hours Ago
Hybrid
London, Greater London, England, GBR
Mid level
Mid level
Enterprise Web • Fintech • Financial Services
As a Data Scientist, you will leverage large language models and advanced statistical techniques to develop AI-driven solutions that enhance client outcomes. Your role involves analyzing massive datasets, creating investment research content, and deploying machine learning applications in commercial environments. You will act as a subject-matter expert, driving AI adoption across Morningstar's business units.
Top Skills: PythonSQL
4 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Financial Services
As an NLP/LLM Data Scientist Lead, you will enhance investment processes through machine learning, collaborating with stakeholders to develop and deploy NLP/ML solutions. This role includes collecting datasets, performing experiments, improving model performance, and communicating results effectively.
Top Skills: Python
6 Days Ago
Hybrid
London, Greater London, England, GBR
Financial Services
Data Scientist role at JPMorgan Chase within the International Consumer Bank, focusing on delivering cutting-edge solutions, collaborating with business partners, providing accurate reporting, performing data analysis, and identifying business opportunities using data.
Top Skills: Python

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.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account