Project Lead - Data Science & Modelling

Description

Project Lead (Modelling), Data Science & Modelling

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About EssenceMediacom: A Leading WPP Media Brand

EssenceMediacom is a new breed of media agency. Grounded in analytics & insights and powered by data & technology, we believe in the power of media and creative to drive breakthroughs for the world’s best brands. We help clients understand the modern marketing paradox and discover the breakthroughs brands need to win with their consumers. We are designed for the new communications economy — built on data & technology, built for people & algorithms, built around diverse schools of thought, built to test & learn at scale, and, crucially, built to evolve.

Analytics & Insight team - Who are we?

EssenceMediacom’s Analytics & Insight team houses all of the analytics, effectiveness and insight specialists within EssenceMediacom. The team has one purpose – to ensure that every media planning decision is fuelled by the best data and insights available.

Our Analytics & Insight team is crucial for our client’s success by delivering a data-driven approach to media strategy, planning and activation with an emphasis on accountability and experimentation.

An integral part of our Analytics & Insight team is our Data Science & Modelling team. The team’s areas of expertise span marketing mix modelling, budget setting and allocation, forecasting, brand equity modelling, launch volumetric studies and conjoint to name but a few. Our primary focus is on getting insight out of data and analytics in order to provide recommendations for clients that are impactful and actionable.

Our UK unit is a team of 60+ analysts, working across more than 25 clients in the UK and globally. We analyse over £600m of communications spend each year, covering 15% of UK media spend which means we are the leading experts in our field.

The Data Science and Modelling team is structured into three specialist areas, across which all projects are delivered. Projects are led by the client team who specialise in exceptional client relationships, understanding client business needs and ensuring analytic projects are delivered that make a real world difference to our client ’ s businesses.

The Data team are crucial for ensuring the data required for our analytics is collected, processed and maintained to industry leading standards, ensuring we have the best possible data to inform the modelling and deliver insights that make a real difference. The Modelling team are the technical experts with regards MMM and other analytical methods that are not only statistically robust but intuitive, effective and efficient. Each of the teams work seamlessly together to provide our clients with marketing leading and insight led analytical outputs.

Role Summary and Impact

Project Leads are key members of the Data Science & Modelling team, responsible for the day to day running of projects and providing support for junior staff and direct reports. You are responsible for ensuring the modelling requirements for each project are correctly scoped, models are statistically robust but intuitive and required outputs are delivered. It requires a combination of technical modelling rigour, leadership, communication skills and media expertise.

3 best things about the job

1. You’ll be at the cutting edge of the most advance analytics’ in the media industry, seeing the industry improve and change from the very front.

1. You’ll be working in a close knit friendly team who are there to support you at every stage of your career. We truly work as a team!

1. You’ll be constantly learning and challenged. No two days will ever be the same, and every day there an opportunity to improve on everything that has gone before.

Measures of success

In three months, you would have:

• Been fully immersed in the team’s analytics approaches; developed a good working relationship with your team and clients

In six months, you would have:

• Led to completion your first client modelling project, with support from junior team members; developed a strong and trusted relationship with your stakeholders

In 12 months, you would have:

• Delivered a variety of client modelling projects and taken on increasing ownership of the modelling approaches and direction of your projects

Responsibilities of the role

• Ensure all modelling aspects of a project are statistically robust, intuitive and delivered on time to support timely delivery of the overall client project

• Oversee and ensure modelling best practice within the team

• Understand marketing strategy and business issues across clients

• Ensure internal teams are fully aware and trained on Data Science & Modelling ways of working

• Show ability to identify and deal with client issues before they get out of hand, from a modelling perspective

• Take responsibility for the development of junior team members, with support of Director/Account Lead

• Ability to delegate up and down, co-ordinating between groups and disciplines

• Forge strong stakeholder relationships

• Identify and suggest ways to grow income

• Be aware of project profitability

Skills and Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust .
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise .
• Solid hands on experience in Market Mix Modelling, with rich and complete data sets

• Degree or degree-level understanding of Economics, Maths, Stats, Sciences or another numerical subject
• Experience managing modelling projects for time series econometrics in the media or marketing industry – strong Market Mix Modelling technical understanding and experience is required
• Detailed media and marketing knowledge
• The ability to convert modelling outputs into real world actionable insights and solutions
• Strong team building skills, with the ability to explain complex processes clearly
• Experience managing a team of analysts or econometricians
• Excellent knowledge of common modelling packages, Excel, PowerPoint, R or other programming language
• Experience of modelling projects across a range of sectors

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include 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 particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. 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.

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

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