At a Glance
- Tasks: Create and optimise predictive models to enhance media and marketing solutions.
- Company: Join WPP Media, a leader in creative transformation and data-driven marketing.
- Benefits: Enjoy competitive pay, health benefits, and generous paid time off.
- Why this job: Make an impact by transforming marketing with cutting-edge data technology.
- Qualifications: Experience in machine learning, Python, and data analysis required.
- Other info: Dynamic hybrid work environment with opportunities for growth and development.
The predicted salary is between 28800 - 48000 £ per year.
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities.
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.
Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities.
Role Summary And Impact Data Scientist. Reporting to the Lead Data Scientist, the Data Scientist plays a critical role as part of a broader team in the deployment and development of predictive models for our customers. You will work collaboratively with senior Google Cloud and Google Marketing Experts to apply modeling to enhance our customers’ media/marketing solutions. As Data Scientist you will build out industry-relevant predictive models that can be applied to optimize our customers’ media investments. The role focuses on applying analytical solutions based on machine learning and statistical predictive algorithms on top of Google technology stack for our customers.
We are looking for Data Scientists with relevant education in algorithmic data analysis and proven scientific research skills.
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.
This is an excellent opportunity for a Data Scientist to join the Data, Insights & Analytics Team. You will analyze media and social data created by marketing activity, identify trends and provide actionable insights to improve performance. You will tackle and take apart large and messy datasets of structured and unstructured data, build and implement models and algorithms, and design and run experiments to optimize media and customer experience. The ideal candidate will have a love of getting their hands dirty to create a clean and perfected process.
Responsibilities:
- Creation, management and improvement of models which would be used to measure, optimize and activate media campaigns.
- Building out industry relevant predictive models.
- Documentation of analytics projects and ensuring that specific analytical processes can be replicated and scaled across clients if necessary.
- Building out content for presentations to demonstrate the performance and value of statistical and predictive models.
- Delivery of robust mathematical analysis.
- Produce campaign reports, studies, presentations and proposals to a high standard.
- Achieves continuous improvement by proactively assessing Choreograph’s working relationships, practices and methods.
- Establish MLOps process leveraging GCP toolset.
- Demonstrates measurable success.
Requirements:
- Hands-on experience with building out machine learning models with Python.
- Education and background in machine learning, computer science, physics, applied mathematics or statistics.
- Hands-on experience in developing complex query structures with SQL and/or NoSQL query languages.
- Hands-on experience working with GCP’s AI Capabilities including leveraging BigQuery ML, Vertex AI.
- Hands-on experience with machine learning techniques using TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, Pandas, NLTK, Spark MLlib.
- Experience and understanding of deep learning techniques (TensorFlow, Theano, MXNet).
- Understanding of or experience in software engineering best practices, DevOps and MLOps.
- Solid grounding in applied mathematics, especially optimisation and graph theory, and statistics.
- Commercial or academic experience in developing ML & AI solutions using Python/R.
- In-depth knowledge of machine learning algorithms.
- Advantageous to have experience in Google Marketing Platform and the use of Ads Data Hub.
- Capabilities in data engineering, data modelling and complex big data analysis.
- Strong business analysis skills and deep understanding of analytics.
- Strong communication and presentation skills.
- Passionate about working in an extremely fast-paced, demanding, and fluid start-up environment as well as a desire to build a company up from an early stage.
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. We offer competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. We are an equal opportunity employer and consider applicants for all positions without discrimination. Our hybrid work model typically involves in-office presence around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Please note this is a UK based role and requires individuals to have the right to work in this location.
Data Scientist employer: WPP Media
Contact Detail:
WPP Media Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at WPP Media. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using machine learning and predictive models. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how you tackled challenges using data analysis and algorithms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the WPP Media team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning, Python, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our mission at WPP Media. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from your studies, we love seeing practical applications of your skills. Include links if possible!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at WPP Media
✨Know Your Data
As a Data Scientist, it's crucial to have a solid understanding of the data you'll be working with. Familiarise yourself with common datasets in the media and marketing space, and be ready to discuss how you would approach cleaning and analysing them. This shows your hands-on experience and readiness to tackle messy data.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python, SQL, and machine learning frameworks like TensorFlow or Scikit-learn. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Highlight any relevant projects you've worked on that showcase your technical abilities.
✨Understand the Company Culture
WPP Media values creativity and collaboration. Research their core values and think about how your personal values align with theirs. Be ready to share examples of how you've worked collectively in teams to inspire creativity and drive results in past roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to apply analytical solutions. Prepare for scenarios where you might need to optimise media campaigns or build predictive models. Think through your thought process and be ready to articulate it clearly during the interview.