Data Scientist

Posted Yesterday
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London, Greater London, England
Entry level
Marketing Tech
The Role
The Data Scientist role involves supporting the Innovation Technology Lead in developing prototypes and proof-of-concepts for marketing analytics. Responsibilities include researching technological trends, gathering and preparing data, basic coding tasks, integrating APIs, conducting analyses, and collaborating with teams to refine prototype concepts. Strong analytical skills and proficiency in Python are essential.
Summary Generated by Built In

The opportunity:

We are seeking a Data Scientist to provide crucial support to our Innovation Technology Lead in developing cutting-edge prototypes and proof-of-concepts (POCs) for our new business team. This role will assist in exploring and demonstrating innovative solutions across various technological domains, including AI, synthetic data generation, advanced statistical modeling, and emerging technologies.

The ideal candidate will have a strong analytical background, be eager to learn new technologies quickly, and possess the ability to translate complex concepts into actionable insights. This position offers an excellent opportunity to work at the forefront of innovation in marketing analytics while supporting senior-level prototype development.

This role offers an exciting opportunity to work alongside innovative leaders, gain hands-on experience with cutting-edge technologies, and contribute to the development of groundbreaking solutions in marketing analytics. The Principal Analyst will play a crucial part in supporting the Innovation Technology Lead's efforts to drive new business opportunities through technological innovation.

What you’ll be doing:

  • Assist the Innovation Technology Lead in researching and identifying new technological trends and potential applications in marketing analytics
  • Support the rapid development of prototypes and POCs by gathering and preparing data, conducting initial analyses, and assisting with basic coding tasks
  • Help in the integration of APIs and technologies into prototype applications under the guidance of the Innovation Lead
  • Conduct literature reviews and summarize findings on emerging statistical models, algorithms, and methodologies relevant to ongoing projects
  •  Assist in the preparation of presentations and demonstrations for both technical and non-technical audiences
  • Perform basic testing and validation of prototypes and POCs, including data quality checks and simple sensitivity analyses
  • Aid in the documentation of prototype development processes, methodologies, and results
  • Collaborate with cross-functional teams to gather requirements and feedback for prototype iterations
  • Support the Innovation Lead in quick turnaround projects by managing timelines, coordinating resources, and tracking project progress
  • Contribute to the ideation process for new prototype concepts and potential applications of emerging technologies

What we want from you:

· Proficiency in Python with a willingness to learn others

· Experience with and understanding of AI, machine learning concepts, and statistical modeling techniques

· Experience with and understanding of LLMs and RAG techniques

· Familiarity with data visualization tools and techniques

· Strong analytical and problem-solving skills

· Excellent communication skills, both written and verbal

· Ability to work effectively in a fast-paced, collaborative environment

· Keen interest in emerging technologies and their potential applications in business

· Experience with and understanding of cloud platforms (Azure/AWS/GCP) and their capabilities

· Familiarity with version control systems like Git

· Experience with rapid prototyping or agile development methodologies

· Knowledge of marketing analytics and related business challenges

· Familiarity with advanced statistical concepts

· Experience in creating data visualizations and dashboards for non-technical audiences

Why work for us? 

Gain Theory iscommitted to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect. As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve. 

What we pride ourselves on: 

  • Growth and development
  • Meaningful work
  • Flexible by design
  • Brilliant benefits 
  • Culture with Heart 

Our exceptional and skilled team defines Gain Theory. That's why we seek individuals who strive for excellence and continually challenge us to improve.

What we do 

Gain Theory is a global marketing effectiveness and foresight consultancy. Our vision is to accelerate growth for ambitious brands by giving clients the confidence to make better data-informed investment decisions. High-touch consultancy powered by unique partnerships and proprietary technology are used to power our award-winning solutions.  

 As a WPP consultancy, Gain Theory also has access to a range of data, expertise, and tools that create a truly differentiated offering. 

 Gain Theory isaWPPagency(NYSE: WPP).  

 Who we are 

We are a people-centric organisation whose culture is underpinned by 4 important values: Be Curious, Be Positive, Make it Better and Act with Consideration. We channel these values through our behaviours, in the way we work, and in the interactions we have with each other and our clients. 




Gain Theory is committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect.  As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.

Gain Theory is a WPP-owned consultancy. For more information, please visit please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter.

Note: We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment.

When you click "Submit Application", this will send any information you add to Gain Theory. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy.  California residents should read our California Recruitment Privacy Notice which explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it. 

Top Skills

Python
The Company
HQ: New York, NY
174 Employees
On-site Workplace
Year Founded: 2015

What We Do

Gain Theory is a global marketing effectiveness and foresight consultancy with expertise in data, advanced analytics, and technology. We exist to accelerate growth for ambitious brands by empowering smarter, data-informed marketing investment. Our experts fuse hindsight, insight, and foresight to improve investment decisions and activate growth at speed.

Gain Theory is a recognized Leader in The Forrester Wave™: Marketing Measurement and Optimization, Q3 2023.

Available in 58 markets, our award-winning solutions and highly specialized vertical expertise support clients via five measurement and optimization pillars:

Marketing Effectiveness Index: The MEI diagnostic tool that pinpoints the barriers to and opportunities for growth – a great place to start your journey with us.

Data excellence: When it comes to data, we’re focused on quality because your most important investment decisions need to be informed by the best possible data.

Sources of growth: Understanding where growth has come from in the past, is coming from today, and will come from in the future is vitally important as it enables you to target your investment more effectively.

Levers of growth: When you know where your growth will come from, you then need to know how you can accelerate it using MMM, attribution, unified measurement, and test and learn.

Foresight: Much of the data that marketers rely on to make decisions is inherently backward looking. We can help you to plan more accurately for what might happen in the future.

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