The Role

We are recruiting a Principal / Lead Data Scientist who is passionate about solving problems. Creative, innovative, passion, flexibility, adaptability, tenacity and agile, these are just some of the words that describe the culture of our team. This is an opportunity for you to make an impact whilst also having a realistic chance to learn and develop your skills further. 

Your primary role will be to lead the new Out of Home solution as our Principal Data Science to develop and maintain a market leading synthetic population solution for the GB market, leveraging a data driven approach using deep generative modelling and other state-of-the-art AI and ML methodologies.

Your leadership and guidance will ensure the team is following the right direction towards our objectives. Your deep understanding of data science techniques and methodologies to analyse data, identify matters and derive meaningful insights will enable you to support the team to tackle complex problems or when strategic decisions are required. 

What will I be doing?

Working closely with the Product and Data Lead and the Project Manager in your area, you will be responsible for the planning, resourcing and delivery of projects, keeping within the allocated time and budget.

Additionally, you will stay up-to-date with latest trends, techniques and technologies so we can apply them to our day-to-day to ensure we are future proof. 

Your key responsibilities will include:

Taking ownership or enable effective design of solutions to problems old and new Performing or enabling effective deployment of solutions and models into production Working in cloud environment, with containerised pipelines (Docker, Kubernetes) Developing using Git and CI/CD processes Building and maintaining a close working relationship with other internal teams: data engineering, DevOps, application engineering and product owners Building a robust, no single-point-of-failure team to ensure successful project delivery Working closely with relevant product managers on managing expectations, communications, understanding requirements, building/delegating developments, monitoring backlogs and deciding priorities, most likely on a weekly basis Working in and supporting the growth of an Agile framework within your team and projects Alongside your team Project Manager, liaising with external clients with regards to data science activities in your area

What do I need to bring with me?

It is essential that your personal attributes compliment your technical skills. To be successful in this role you will need the following skills and experience:

A solid track record of delivering data science solutions as part of a team  Experience in writing R&D and production Python code, using core packages like pandas, scikit learn and tensorflow/PyTorch  A proven understanding of machine learning and statistical techniques, including deep learning and generative AI  Experience working in an enterprise cloud environment, with a slight preference for GCP  Excellent problem-solving skills - you are able to break down problems in smaller chunks Driven by a passion to solve problems  Independent thinker self-starter Constructive driver of change Excellent communicator, able to convey technical solutions in non-technical terms Able to lead, support and work hands-on as part of a team Ideally a STEM degree and relevant experience

What is in it for me?

Ipsos UK offer an attractive basic salary and a rewards package including 25 days annual leave, a pension scheme and a great range of flexible benefits to suit your personal needs. For roles at Research Manager level and above we also offer private healthcare.

In addition to this we have a fantastic Learning & Development offer delivered through a mix of face to face, online or on-demand.

We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. 

Ipsos is committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We also 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.