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Data Science Manager Newcastle-upon-Tyne, UK

Data Science Manager Description

Job #: 71364
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider – leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting, and design capabilities; and unique ‘Engineering DNA,’ EPAM’s globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people’s lives. In 2021, EPAM was added to the S&P 500 and included among the list of Forbes Global 2000 companies.

Selected by Newsweek as a 2021 Most Loved Workplace, EPAM’s global multi-disciplinary teams serve customers in more than 45 countries across five continents. As a recognized leader, EPAM is listed among the top 15 companies in Information Technology Services on the Fortune 1000 and ranked as the top IT services company on Fortune’s 100 Fastest-Growing Companies list for the last three consecutive years. EPAM is also listed among Ad Age’s top 25 World’s Largest Agency Companies for three consecutive years, and Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing Firm.

DESCRIPTION



Do you have deep knowledge and skills in Data Science & Machine Learning, gained by working with technology, dealing with customers and managing teams? Are you motivated to be part of an award-winning group that offers a unique blend of consultancy thinking and customer-centric design, powered by the engineering excellence EPAM is known for?

We are happy to hire someone in London, Liverpool, Manchester or Newcastle. This is a great opportunity for you to play a highly important role driving customer engagements and managing the local team.

If this sounds like you, this could be the perfect opportunity to join EPAM!

Responsibilities

  • Lead a team of data scientists within a consulting practice
  • Deliver data projects for clients in different industries
  • Coach team members to achieve best results on their respective assignments
  • Act as a data science team leader demonstrating initiative, inspiration
  • Offer support to pre-sale activities and at times lead end-to-end pre-sale initiatives
  • Occasionally conduct analyses and build predictive and ML models for clients (i.e. a person we are looking for a person who can still be hands-on when needs be)
  • Tell stories back to the business through stunning data visualisation
  • Work in an agile environment
  • Work with version control systems
  • Provide hands-on leadership, coaching and mentoring to junior members of staff
  • Translate requirements and acceptance criteria into ML implementations
  • Provide estimates for ML activities

Requirements

  • 5+ years experience managing teams
  • Strong academic background
  • Good programming skills in Python and SQL (other programming languages are a bonus, e.g. R, SAS, Julia)
  • Track record of building end to end data science solution including deployment in a Production environment
  • Ability to create engaging material to promote ML/AI internally or externally
  • Familiarity with one or more of the following: Microsoft Azure, AWS or GCP with specific knowledge of their ML functionality
  • Excellent understanding of the Data Science Life Cycle and MLOps
  • Solid understanding of common statistical and ML techniques, both classical and deep learning
  • Speciality in one of: classification/regression (GBMs, SVMs, GLMs), forecasting, NLP, deep learning, optimisation, demand forecasting
  • Experience with end-to-end ML systems in the cloud, including data processing, feature engineering and tuning of ML models in training and production, with both structured and unstructured data is a plus
  • Knowledge of industry specific third-party data (digital marketing, clickstream, consumer credit risk, corporate and sovereign risk, etc.)
  • Understanding business requirements and ability to translate it to ML approaches
  • Ability to take initiative and lead engagements as required
  • Understanding of key IT roles like BA, SA, etc
  • Previous experience in Consulting a bonus

We offer

  • We offer a range of benefits including
  • A competitive group pension plan, life assurance and income protection
  • Private medical insurance, private dental care and critical illness cover
  • Cycle scheme Tech scheme and season ticket loan
  • Employee assistance program
  • Unlimited access to LinkedIn learning solutions
  • EPAM Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
  • Various perks such as Gym discount, Friday lunch, on-site massage and regular social events
  • Some of these benefits may be available only after you have passed your probationary period

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