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Director/Snr Director, Data Science Consulting - Machine Learning/Artificial Intelligence (ML/AI) London, UK

Director/Snr Director, Data Science Consulting - Machine Learning/Artificial Intelligence (ML/AI) Description

Job #: 92655

ABOUT THE ROLE



Are you an avid technologist who enjoys solving and driving complex Data & Analytics challenges? Are you hungry to thrive in a fast paced entrepreneurial engineering environment and take ownership for critical technical and business decisions that directly impact EPAM and our clients?

As one of the world’s leading digital transformation service providers, we are looking to aggressively expand our Data Practice across Europe to meet increasing client demand for our services. We are open to hiring people at Director or Snr Director level within the Data & Analytics/Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI).

The roles offer exciting opportunities to work with leading-edge technologies, deliver ML/AI driven solutions, play a highly visible leading role in the organisation whilst partnering closely with multiple clients across various industries and our Data leadership teams globally.

We offer a flexible work set-up with face to face client meetings from time to time.

Responsibilities

  • Provide technical leadership and strategic direction expertise in ML/AI, driving the design, development, and implementation of ML/AI solutions for clients
  • Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them
  • Collaborate with cross-functional teams to define project scope, develop data models, and apply appropriate ML algorithms to deliver high-quality solutions
  • Lead the identification of new ML/AI opportunities, either through selling solutions or securing funding, by leveraging your technical expertise and engaging senior decision-makers
  • Shape data solutions and properly scope / price engagements, establishing optimal operating models and project team organisation, and leading the transition from the sales process to the delivery phase
  • Lead the evaluation and selection of ML/AI tools, frameworks, and technologies, ensuring their alignment with business objectives and technical requirements
  • Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution
  • Engage client stakeholders at the executive / C-level, helping them drive enterprise-wide agenda to maximize growth
  • Provide guidance and mentorship to junior team members, fostering their professional growth and development in ML/AI
  • Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate
  • Support sales / pre-sales activities by assessing Data opportunities, responding to RFP’s, creating proposals and presentations

Requirements

  • Bachelor's or master's degree in Computer Science, Data Science, or a related field or relevant work experience
  • Strong experience in a senior/leadership role within Data & Analytics/ML/AI
  • Proven track record in designing and implementing ML/AI solutions
  • Solid understanding of ML algorithms, data pre-processing, feature selection, and model evaluation techniques
  • Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
  • Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies and building strong client relationships
  • Technical proficiency in programming languages such as Python, R, or Java, and ML libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Awareness of Cloud (Azure, GCP, AWS), Big Data, Analytics, and Data Science technologies and trends
  • Confident in expressing points-of-view, making recommendations and presenting analysis and recommendations up to board level where appropriate
  • Excellent problem-solving skills and the ability to analyse complex business requirements and translate them into practical ML/AI solutions
  • Consulting and pre-sales experience is a plus, but not mandatory

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

About EPAM

  • EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential

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