Lead Data Scientist

Lead Data Scientist

London

Up to £95,000 + bonus + benefits

Our Client

We’re helping a global ecommerce marketplace build out their Data & Analytics teams.

With over 20,000 employees in 41 locations around the world, our client traverses a number of consumer industries. They are passionate about transforming the ecommerce sector by investing in and deploying next-generation technology and automation.

Sustainability is at the core of their business; they aim to leave a positive impact on all stakeholders including employees, customers and partners, helping to build sustainable local communities on a global scale.

The role

Data Scientists are hands-on with building models that allow our client to hyper-personalise their customer experience.

In addition this, at a leadership level, Data Scientists work as internal consultants within the business, advising executive teams on all things concerning predictive analytics and machine learning.

What a Lead Data Scientist role will involve

• A hybrid role which is both hands-on with building models and involves consulting throughout the wider business, serving as the Data Science SME for the core customer-facing platform.
• Collaborating with Customer Experience, Product, Design and Engineering teams to demonstrate use cases for hyper-personalisation, intelligent site navigation and behavioural segmentation.
• Working with Optimisation teams on projects that can draw from advances in Big Data & Machine Learning.
• Designing frameworks that lead to the optimisation of precision marketing.
• Providing technical leadership to the wider team, both in-house and agency-side.

Some of the things that we are looking for

• Experience working as a Data Scientist or Senior Data Scientist in a commercial environment.
• A background leading Data Science teams in an eCommerce or conversion rate optimisation-focused environment is a plus.
• Hands-on experience with Machine & Deep Learning, AI and Neural Networks tools including Python, Spark, Tensor Flow.
• Competencies across core programming languages including Python, Java, C/C++, R.
• Ability to work in a cross-functional environment, managing stakeholders across multiple areas and translating research into practical solutions for predictive analytics.
• Experience in solution design, architecting and outlining data analytics pipelines and flows.
• Advanced Mathematics skills including experience with Bayesian statistics, linear algebra and MVT calculus, advanced data modelling and algorithm design experience.
• Design and deployment experience using Tensor Flow, Spark ML, CNTK, Torch or Caffe.

The perks

• A flexible environment that allows 1-2 days of remote working per week.
• 28 days holiday + a competitive pension scheme.
• Private healthcare, dental and travel insurance for you and your immediate family.
• Employee discounts to be used in-store and online.
• Free breakfast, season ticket loan, cycle to work schemes and various partner discounts.