Senior Marketing Scientist IC2

Wise
London
3 weeks ago
Create job alert

We are looking for a highly analytical and innovative Senior Marketing Scientist to join our Marketing Science team. Our team focuses on developing and implementing channel agnostic measurement frameworks to assess what drives growth at Wise and what we can do to accelerate this. 

In this high impact role you will contribute to projects that integrate best in class marketing mix models attribution and incrementality testing to deliver actionable insights that drive marketing effectiveness across all channels.

Heres how youll be contributing:

  • Enhance and implement measurement frameworks that assess full funnel marketing performance across all channels to ensure data driven strategies to accelerate growth. Some examples on how you will do this are:

  • Design implement and analyse incrementality tests to measure the true impact of marketing activity across the funnel. Youll help marketing understand the true impact of ATL activities such as TV OOH/DOOH and radio as well as direct response activities such as Facebook campaigns.

  • Collaborate with Data Science providing your input on how to improve our marketing mix models.

  • Provide recommendations to help marketing teams optimise and maximise their strategies.

  • Build data models for our measurement infrastructure.

Additionally you will:

  • Contribute to OKR definition;

  • Analyse large datasets identity patterns and build insights from them;

  • Create data visualisations to communicate insights to stakeholders providing actionable recommendations.

  • In this end to end role you will work closely with crossfunctional teams including marketing data science analytics finance and engineering to deliver on your projects. 

  • This role will give you the opportunity to:

  • Be part of our mission to make money without borders!

  • Play a key role in contributing to the growth of the company by enhancing the effectiveness of marketing efforts.

  • Collaborate with diverse teams such as marketing analytics data science finance and engineering.

Qualifications:

  • Strong background in statistics and marketing.

  • Experience in a similar marketing science / data science role.

  • Experience designing quasiexperiments and implementing causal inference methodologies.

  • Experience building or working with attribution models and marketing mix models.

  • Strong analytical and problemsolving skills.

  • Ability to tell a story with data and provide actionable insights.

  • Advanced SQL and Python/R skills and can work with complex data models.

  • Experience with data visualisation tools (Looker Superset etc.).

  •  
  • Work with an extensive dataset of over 16 million customers.

  • Work with cuttingedge methodologies and a modern data stack including dbt and Looker.


Additional Information :

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what its like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.


Remote Work :

No


Employment Type :

Fulltime


Key Skills
Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry
Vacancy:1

Related Jobs

View all jobs

Senior Data Scientist - Marketing Technology

Senior Data Scientist - Marketing Technology

Senior/Principal/Lead Data Scientist

Principal Data Scientist

Data Science Analyst

Research & Insights Lead

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.