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1 месяц назад

Managing Consultant (Data Science)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Managing Consultant (Data Science) (Energy and Utilities): Leading teams that design, build, deploy, and scale data analytics products and solutions for energy and utilities clients with an accent on AI, advanced analytics, digital transformation, and consulting growth. Focus on developing data-driven propositions, managing complex programmes, building senior client relationships, and providing technical leadership across analytical solution lifecycles.

Location: London, United Kingdom; hybrid working with office or client-site attendance required at least 2 days per week, and up to 5 days per week on client site depending on the assignment

Company

hirify.global is a consulting firm combining strategy, innovation, design, science, engineering, technology, and digital expertise across multiple industries.

What you will do

  • Build and lead teams developing new data and analytics propositions and supporting strategic business growth.
  • Lead business development initiatives, build senior client relationships, own outcomes, and deliver high-impact solutions.
  • Guide energy and utilities clients through complex digital and data challenges.
  • Provide technical leadership, coaching, and knowledge-sharing to support team growth.
  • Contribute to thought leadership and market offerings focused on digital innovation.

Requirements

  • 10+ years of experience in data science leadership and/or consulting, ideally in energy, utilities, or infrastructure.
  • Experience leading the development of AI, advanced analytics, data, and digital capabilities, including designing, building, deploying, and scaling analytical products and solutions.
  • Strong leadership experience managing teams and delivering complex, high-value programmes and projects.
  • Established senior stakeholder network and a record of building long-term client relationships and partnerships.
  • Commercial acumen and experience developing and selling consulting or data-driven analytical propositions or products.
  • Degree, master’s degree, or PhD in data science, mathematics, operational research, physics, or statistics.

Nice to have

  • Experience across the software or product development lifecycle for analytical solutions, from discovery and prototyping through rollout, implementation, and managed services.
  • Relationships and delivery experience in water, electricity, gas, nuclear, or infrastructure sectors.

Culture & Benefits

  • Private healthcare and health and lifestyle benefits for employees and their families.
  • 25 days of annual leave, plus a bonus half day on Christmas Eve, with the option to buy 5 additional days.
  • Company pension scheme and annual performance-based bonus.
  • PA share ownership and tax-efficient benefits, including cycle-to-work and give-as-you-earn schemes.
  • Opportunities to participate in community and charity initiatives within an inclusive workplace.

Hiring process

  • Introductory call with a senior Talent Acquisition partner.
  • Three competency interviews in the first round.
  • Final-round business plan presentation to PA leaders, with preparation guidance and time provided.

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