Data Scientist

Data Scientist V/12 months contract/Hybrid London)/£62 per hour paye + holiday benefit

Experience in similar Tech organizations (Google, Amazon, Microsoft) Highly Preferred

Job Description

Privacy Areas Shared Mission: Enable the Company to continuously develop and efficiently execute privacy strategies across our products.

NORTHSTAR SUCCESS:

• Privacy Readiness & Response: The company has clear privacy strategies, data policies and plans for all external pressures (e.g. regulations) and internal priorities (e.g. GenAI).
• Product & Platform Development: Companies efficiently and cost-effectively implement our privacy strategies.
• Privacy Decisions: Companies make good privacy decisions consistently.
• The role is within Data Use: Privacy (PCP) → Privacy Areas → Data Use Our (Data Use) purpose is to efficiently and seamlessly manage legal basis positioning and risk for the company so that teams at the Company can innovate and meet company goals while maintaining compliance quickly and efficiently. We help Companies make fast privacy decisions to unblock innovation. To do this we develop policies and requirements, build and maintain privacy solutions, and build and maintain platforms that accelerate the company to do privacy work faster while maintaining a minimum compliance bar.

RESPONSIBILITIES

• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
• Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.

EXAMPLE PROJECTS

• Support the ‘must do’ compliance initiatives e.g. update of Privacy Policies / Terms of Service and send related notifications.
• Establish metrics to monitor and improve safeguards to ease future compliance.
• Support experimentation and exploratory analysis to help the team evolve its compliance positions.
• Support Privacy Area level initiatives to increase speed and scalability of Privacy work, e.g. developing tooling so that teams can self-serve regulatory work.

WHY JOIN US?

High Impact

• Privacy continues to be a company priority and the Privacy Areas DS team drives analytical work that influences company-wide product strategy across different areas of privacy work.

Career Development

• Own a critical area providing enough room for growth and development.
• If you are looking for challenging technical problems that are at the intersection of infra, regulation, and measurement, privacy areas is the place to be.

Team Culture

• Fun and energetic team that values the experience of working well together. We organize fun get-togethers so the team feels a sense of belonging while working on privacy problems as a team sport.

MUST HAVES

• 8+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
• 8+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experimenting, design, and communicating actionable insights)

NICE TO HAVES

• Experience in Risk Analytics or Compliance
• Experience in similar Tech organizations (Google, Amazon, Microsoft)
• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent