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, but 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 language including Python, Java, C/C++, R.
That you can work in a cross-functional environment, managing stakeholders across multiple stakeholders 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.
Match Digital specialises in connecting talented individuals with businesses in the digital, tech, media and marcomms industries.
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