Data Scientist

2141 - Data Scientist

Reporting to: Solution Architect

Role Summary and Impact : 

The Data Scientist reports to Solutions Architect and is responsible for designing, developing & deploying data modelling and automation solutions for a leading client across markets, the portfolio of brands. You should have a strong understanding of the concepts and tools in data enrichment, automation and agentic space. You focus on methodological depth and the correct application of data science techniques. You translate complex business questions into robust data models and automation workflows and work closely with engineers to bring these models into production in a scalable and maintainable way. You'll be part of a team that believes in doing work that matters - for people and the planet, extending this impact directly to our client's strategic objectives.

What will you do :

• Actively explore and identify the latest techniques related to DS, ML and automation/agentic techniques.
• Perform hypothesis testing, data preparation and product prototyping based on modern statistical and DS/ML and agentic methods.
• Research, develop and apply DS/ML/agentic models to solve business and clients’ problems effectively.
• Use your knowledge to anticipate, identify, and address data issues related to redundancies, quality, and bias. Apply rigorous data cleaning and preprocessing techniques to ensure high-quality data for modelling.
• Lead data science projects, blending various data science techniques as needed to achieve optimal performance and actionable insights. Continuously explore innovative and novel approaches to improve modelling accuracy and efficiency.
• Collaborate directly with internal analytics and business teams, to understand and document requirements, and deliver data science solutions that meet their specific business needs.
• Monitor data quality, troubleshoot issues, and implement improvements to ensure data reliability.
• Apply your communication, collaboration and emotional intelligence skills to effectively convey complex technical concepts to both technical and non-technical stakeholders. Facilitate cross-functional collaboration with other teams and departments.

What you’ll need :

• Proven experience in in applied data science, analytics, or ML engineering.
• Strong SQL skills and comfort working with large-scale, multi-source data.
• Experience with version control (Git) and collaborative coding workflows.
• Advanced Python skills, incl. pandas, numpy, scikit-learn, scipy, statsmodels for modelling and analytics.
• Bachelors or advanced degree in Statistics, Economics, Business, Math, or Sciences is preferred.
• Experience in building and execution of advanced solutions for audience analytics and insights.
• Strong analytic and problem-solving skills, understanding and experience in application of AI methodologies for data manipulation and insight.
• Experience with data visualization platforms beyond Power BI/Tableau.
• Sufficient knowledge of data governance practices including data QA, general naming taxonomy, data & platform integration, etc.
• Ability to communicate analytical findings to non-technical stakeholders clearly and impactfully.

Life at WPP Media & Benefits

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising. 

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. 

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  Please note that while our philosophy is the same across WPP, benefits may vary by office/country.

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

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