Featurespace - Consultant - Data Science at Featurespace

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Job Description:

In your role as Consultant you will help us achieve our goals and deliver success on behalf of our customers by providing consulting expertise to the customers on Featurespace’s advanced statistical models, machine learning, rules-based solutions and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and ecommerce transaction data.

Day to Day

Support the end-to-end delivery of analytics, facilitating customers and internal teams in preparation for each stage
Review and lockdown project scope by understanding analytical requirements, identifying any misalignment with statements of work
Drive interactions with customers to understand the problems they want to solve, proposing optimal analytical solutions
Educate customers on the ARIC platform and our analytical solutions
Work with customers to understand the opportunities and constraints of their existing data in the context of our industry-leading analytical solutions
Advise and lead the customer through data readiness checks – understand common data issues and work with customers to resolve these efficiently
Assist internal teams with the development and deployment of statistical models and algorithms for integration with Featurespace products
Apply an understanding of the capabilities of the ARIC product and solutions in the analytics space
Become an expert in customer data structures and processes; route and translate information to internal development teams as required
Produce materials to feedback analytic results to customers (reports, presentations, visualisations)
Work with customer QA teams to advise on effective analytical testing and supporting test phases
Support customer Data Science and Analytics groups with their model development and deployment in the ARIC platform
Prepare for and run project workshops in the analytics and data space
Evaluate the analytical results on live systems and work with customers to suggest opportunities for improvement where possible
Provide analytic support and consultancy services to our customers

About you

Must haves:

A degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering
Great client facing skills, able to communicate complex analytical concepts to a variety of audiences, especially in a data science context. E.g. the application of practical machine learning algorithms to real-world data
Ability to understand complex systems quickly
Problem solving skills (especially in data-centric applications)
Strong, clear, concise written and verbal communication skills
Technical and analytical skills with the ability and enthusiasm to pick up new technologies and concepts quickly
Ability to manage and prioritise personal workload
Experience working with customers to gather complex sets of requirements
Experience in stakeholder management and managing customer expectations and common challenges
Working knowledge of Python and experience writing SQL queries
Experience in requirements management, business analysis, consulting environment is a plus

Great to haves:

Knowledge of fundamental machine learning concepts (feature engineering, algorithms, model evaluation, model bias)
Familiarity with software engineering practices, version control and the Unix command line
Experience developing statistical models and analytical algorithms
Practical experience of the handling and mining of large, diverse, data sets
Industry experience in financial services, particularly fraud and fraud strategy
Basic knowledge of event-driven systems and distributed computing for stateful systems