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2 дня назад

Lead Data Scientist (Manufacturing)

66 079 - 82 599GBP
Формат работы
onsite
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

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TL;DR

Lead Data Scientist (ML/Python): Developing data-driven insights and analytical tools to support the energy transition and machine electrification with an accent on machine learning, NLP, and operational data analysis. Focus on creating high-volume data models, optimizing algorithms, and delivering business insights through data visualization.

Location: On-site in Peterborough, UK (5 days per week)

Salary: £66,079 - 82,599

Company

hirify.global's Electrification & Energy Solutions (E+ES) Division focuses on delivering advanced electrified power train and zero-emissions products and technologies.

What you will do

  • Direct high-volume data gathering, mining, and processing to create effective data models.
  • Implement semantic data capabilities using Natural Language Processing (NLP), text analysis, and machine learning.
  • Define requirements for data analyses and present business insights to management using visualization tools.
  • Conduct research on algorithm and data model optimization to improve analysis accuracy.
  • Collaborate with Business Development, Marketing, and Engineering teams to solve real-world electrification challenges.

Requirements

  • Location: Must be based in or able to work on-site in Peterborough, UK
  • Proven experience in a Data Scientist or similar analytical role.
  • Proficiency in Python and core data science libraries including NumPy and Pandas.
  • Strong foundation in business statistics and machine learning algorithms.
  • Experience working with structured datasets and query/database access tools.
  • Ability to elicit and record business functionality requirements for software development.

Nice to have

  • Experience with cloud-based platforms such as AWS or Snowflake.
  • Interest in machine analytics, electrification, or energy systems.
  • Experience creating data visualizations or dashboards.
  • Familiarity with Jupyter Notebooks.

Culture & Benefits

  • 25 days annual leave plus 8 Bank Holidays.
  • Performance bonus of up to 18%.
  • Contributory pension scheme with company matching up to 10%.
  • Contributory share scheme with 50% company match.
  • Optional flexible benefits including health and dental care plans and EV car lease.

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