Are you looking to develop your career in one of the world’s largest Research Organisations?
Our data science unit within the audience measurement service line uses data-driven solutions to enhance traditional survey approaches for estimating media consumption. We are currently at the frontier of a range of exciting projects combining Big Data technologies, machine learning and creative ways of structuring and delivering data to our clients.
The Role
This role represents our commitment to solidify our data processing and delivery mechanisms using up-to-date technologies and solutions. We have a range of projects coming up, from online measurement projects with big daily buckets of incoming data to geospatial analysis projects where huge amounts of GIS data need to be actively used.
By joining our team, you can be at the forefront of growing the data engineering aspect of a rapidly expanding data science team – with a view on moving into a management role.
What you’ll be doing:
- Leading on designing the data-architecture and ETL’s for the projects in the team pipeline
- Designing data pipelines, choosing the optimal data storage solutions and consulting senior business on appropriate data solution fit
- Managing our cloud capabilities and maintaining our cloud storage solutions and pipelines
- Developing machine learning models in production for Big Data driven projects
- Wrangling data and devising appropriate access methods for our Data Science team
- Optimising data warehousing solutions for quicker processing of typical queries and faster delivery
- Designing API solutions and other client access solutions
- Reporting to the Head of Data Science and helping us to build our team and identify talent
- Drive, commitment & enthusiasm to deliver
- Work closely with other internal teams (business development, client service, research and operations) – developing a good professional relationship
- To be on top of new industry developments – not limited to the UK
What do I need to bring with me:
- Extensive experience in similar roles - as a data engineer responsible for designing and delivering large-scale data solutions
- You have experience working alongside data scientists in a wide range of data problems from building APIs to wrangling unstructured data.
- You have a good understanding of math and statistics - you are not scared of writing code that performs interpolations and statistic calculations.
- You have a solid understanding of datastore and processing solutions, mostly for unstructured data, but also relational databases
- You have experience of operating production services and managing the cloud infrastructure it runs on (knowledge of GCP is a plus).
- Good knowledge of general scripting languages, with Python being preferred. Knowledge of Scala or willingness to learn is a plus
- Knowledge of Spark, Elastic Search, Kafka or data streaming solutions is a plus
About us
We are one of the world’s largest research companies and currently the only one primarily managed by researchers. With offices in 88 countries, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts globally with local knowledge to deliver top-quality research.
Our culture is unique - we have the entrepreneurial spirit and quirkiness of a small boutique, but we also have the resources, scale and diversity of a large global agency. We have more bright, friendly, hard-working and enthusiastic people, from more backgrounds, with more interests, skills and experiences to learn from. Our values are based on our diverse cultural backgrounds, helping us to be responsive, client-focused and flexible.
We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We understand the importance of commitments you may have outside of work and we consider all flexible working applications - please highlight what you are looking for when you make your application.
If this is what you are looking for from your next role, we look forward to hearing from you!