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Solution Architect (Data Science & AI) London, UK

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Solution Architect (Data Science & AI) Description

Job #: 50521
EPAM is committed to providing our global team of 36,700+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. In today’s new market conditions, we continue to support operations for hundreds of clients around the world remotely, with the vast majority of our teams working from home. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.

DESCRIPTION


Do you have a combination of deep technical expertise, business acumen and strong interpersonal skills? Do you enjoy helping customers architect systems and solve technical problems? Are you passionate about transforming and shaping leading organizations?

Then you have an opportunity to join EPAM as a Solution Architect (Data Science & AI) and work with highly skilled and professional architects and engineers who specialize in building and integrating custom software solutions at enterprise scale.

You are curious, persistent, logical and enjoy crafting and developing elegant solutions for complex problems. If this sounds like you, keep reading to learn more about this exciting role!

Come and join EPAM where Engineering is in our DNA.

JOB OVERVIEW


EPAM recruits exceptionally talented people who have a passion for and take pride in their work, they are perfectionists in what they do. Due to ongoing growth within a key client we require a Solution Architect with experience within Data Science & AI to play a key role in establishing our UK onsite presence as part of a wider Global Account team.

This is a long-term project role, so ideally looking for the successful candidate to join our growing UK Architect practice on a permanent basis. This role is expected to be heavily client facing so you must be able to commit to working onsite in Cambridge when required in the future.

Responsibilities

  • As a solution architect in Science IT, you'll be designing solutions that will form a part of our foundational data platform for science, aligned to our client’s data science and AI strategy. You'll be providing the architectural leadership to craft requirements and opportunities into well-architected solutions across cloud and on-premise infrastructure
  • You will identify opportunities for innovation in your delivery, bringing to bear new technologies and methodology best practices externally and internally. You will work closely with colleagues across the wider IT organisation, including business analysts, data engineers and data scientists, as well as commercial software suppliers
  • As a solution architect, you will be responsible for ensuring that the solutions you help deliver form an integral part of the global IT estate and align with the wider Enterprise reference architecture and domain roadmaps. You will need to be a good communicator and have a collaborative delivery approach

Requirements

  • Experience with a range of infrastructures and technology stacks needed to support global solutions
  • Experience of designing/developing innovative solutions, blueprints, and standards for solution design
  • Hands-on experience with AWS cloud technologies
  • Practical experience in agile delivery of complex IT projects, including interpretation of the non-functional requirements associated with successful implementation
  • Knowledge of current and new technologies and their applicability to the Science domain
  • We expect people to build strong domain (science) and technology (IT) skills and we need architects who can focus on and deliver value in the R&D domain
  • A deep understanding of the Pharmaceutical Industry
  • Knowledge of the types of technical solutions employed and the associated data utilized in drug discovery (from initial Target identification through to Clinical Trials)
  • Understanding of the high-level business processes/workflows and associated dataflow across the R&D domain
  • Understand large set of technologies (Java, Python, .NET)
  • Quickly learn domain-specific tools (Pipeline Pilot, Bioinformatics tools, etc)

What We Offer

  • We offer a range of discretionary benefits from time to time, including:
    • Group personal pension plan, life assurance and income protection
    • Private medical insurance, private dental care and critical illness cover
    • Cycle scheme and season ticket loan
    • Employee assistance program
    • 1 day off for your wedding and baby basket
    • Tech purchase scheme
    • Unlimited access to LinkedIn learning solutions
  • Some of these benefits may be available only after you have passed your probationary period

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