Ofertes d'ocupació a WPP

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada30 d’ag.

Python TSQL R Machine Learning Office

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

Working at WPP means being part of a global network of more than 115,000 accomplished people in 110 countries. WPP has headquarters in New York, London and Singapore and a corporate presence in major markets worldwide.

We create transformative ideas and outcomes for our clients through an integrated offer of communications, experience, commerce, and technology.

WPP and our award-winning agencies work with most of the world's biggest companies and organisations – from Ford, Unilever and P&G to Google, HSBC, and the UN. Our clients include 61 of the FTSE 100, 307 of the Fortune Global 500, all 30 of the Dow Jones 30 and 62 of the NASDAQ 100. WPP are the leader in the Bloomberg Gender Equality Index and 20th in the FTSE 100 rankings for Women on Boards.

Visit our LinkedIn page to see what we're up to!

Why we're hiring:

As a Data Scientist working at WPP within the Enterprise Data Group (EDG), you will play a crucial role in designing, developing, and implementing Machine Learning models and Generative AI solutions. You will work closely with ML Engineers, Data Engineers, and other stakeholders to ensure our AI applications are robust, scalable, and impactful.

The Advanced Analytics team within the EDG seats under the Head office Data team based in London, which oversights corporate business data. This position will be based in our Madrid office, but you will collaborate with our global team on a daily basis.

What you'll be doing:

• Own and develop Machine Learning solutions to solve unstructured, complex business problems
• Maintain and optimise existing Machine Learning solutions and improve them with more efficient methods
• Monitor models’ performance in production to ensure the highest quality level, report on development status, identify risk areas, and support the Data Science team
• Build state-of-the-art & cost-efficient solutions leveraging GenAI models for multiple use cases (summarisation, classification, chatbots)
• Perform statistical analysis on existing and new datasets to help SME stakeholders identify areas for improvement
• Communicate technical solutions to non-technical stakeholders successfully
• Research new methods and techniques in AI/ML to improve processes and methodologies
  
  

• Experience with common Machine Learning frameworks and methods and developing business-oriented data solutions (e.g., data mining, process optimisation, predictive modelling)
• Experience building GenAI solutions with LLMs and familiarity with both open source and Proprietary LLMs
• Proficiency in using Databricks for developing and managing machine learning workflows
• A background in a quantitative discipline (Computer Science, Maths, Statistics, Engineering), or a PhD with a focus on quantitative methodologies. Don’t be afraid to apply for this role if you come from a different background, as long as you have relevant experience
• Strong coding skills: Python (it’s a must), SQL, PySpark, and R are used in across multiple projects
• Hands-on experience with Machine Learning libraries such as Scikit-Learn, TensorFlow, Keras, PyTorch, or H2O
• Hands-on experience with LLMs to build RAG solutions using Hugging Face, LangChain and/or OpenAI’s models
• Problem-solving skills, critical thinking, and a creative mindset
• Excellent written and verbal communication
• Good level of English