Data Science Lead – Media Consultancy- Highly Competitive + Benefits

Machine Learning/Python/SQL Central London/Hybrid

The Role

Responsibilities

Delivery

• Coordinate the cloud-tech offering for data practitioners in collaboration with our data engineer, including driving best practices, standardisation and collaboration across the data scientists in the network
• Scout for state-of-the art technology/data-science practices/models or algorithms, and assess how can they impact the business (e.g. Deep ML and AI)
• Ensure on-schedule development of pre-agreed list of analytics solutions, and provide inputs for development of new solutions based on client and internal teams requirements - from prototypes to fully fletched solutions
• Work with internal and external stakeholders to address their challenges
• Develop analytics tools and solutions and coordinate their maintenance with Tech team

Support

• Work with the wider global business to foster the value of data science practice. This includes the impact of branding and performance in the digital and offline world
• Assist markets with their data analysis initiatives, either to get control of their data or apply new techniques
• Drive thought leadership for Mindshare’s application of best practice in data science
• Support on scouting opportunities for new-business pitches and proposals
• Support senior leaders to maintain and implement an overall data science strategy

Key Skills and Experience

• Advanced level of Python is a must. Other languages are desired as well but optional (R, Scala, Java script, etc).
• Fast prototyping of products solutions using open source technology for scalable pipelines (Spark, R-shiny, Dash/Flask, Play environment, etc.)
• Managing, accessing, querying structured/unstructured data bases (SQL, Hive, Mongo, etc.)
• Knowledge of modelling solutions (e.g. attribution) and Experimental designs (e.g. A/B and Multi-Variate testing) to support business decisions
• A good understanding of ML and Big data analytics
• Commercial awareness, client/stakeholder handling and strong written and oral communication skills 

Desired Skills and Experience

• Media planning and marketing (including digital media across programmatic, search and paid social)
• Digital media datasets (Ad Servers, DSP, DMP, AdWords, Viewability, Cross Device etc.)
• Building and rolling out large-scale analytics initiatives within a global network
• Managing complex, multiple stakeholder engagements, in a fast-paced organization.

Why Work Here?

• They are one of the leading media consultancies in the world and work with clients like Nike, Rolex, Kimberly Clarke and Dyson
• You will work in fantastic office but also enjoy home/ hybrid working  
• The projects are large, complex and challenging but also very cutting edge and rewarding
• The package is competitive and the training on offer is excellent 
• If creativity and innovation within data science is your thing then you will love the company culture here! 

How do You Apply?