Consultant - Data Science (Remote)

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Posted 3 days ago United States Salary undisclosed
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Job Description

Featurespace is looking for an enthusiastic, Consultant to join our Analytics department working remotely in the US .

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
  • A 4% matched pension scheme
  • Growth share equity scheme
  • Quarterly discretionary bonus scheme
  • 25 days annual leave + UK Bank Holidays
  • Training, development, and mentoring schemes
  • Discounted gym membership and free daily exercise classes
  • Career growth and training opportunities
  • Private healthcare scheme with Vitality
  • Death in Service scheme
  • Regular social events
  • Electric Vehicle Scheme
  • Free weekly takeaway lunches at our Cambridge, London & Atlanta offices
  • Cycle to Work scheme
  • Fridges packed full of edible treats and drinks for lunches and snacks
  1. Initial phone interview with the team - 30 min Zoom
  2. Take home task
  3. Longer technical interview with the team - 2 hour Zoom
  4. Final call with recruitment - 30-45 min call
Python, SQL, Machine LearningPython, SQL, Machine Learning