Lead Data Scientist

7 - 8 years

32 - 45 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking to add an experienced and enthusiastic Lead Data Scientist to our Jet2 Data Science team in India. 

Reporting to the Data Science Delivery Manager, the Lead Data Scientistis a key appointment to the Data Science Team, with responsibility for executing the data science strategy and realising the benefits we can bring to the business by combining insights gained from multiple large data sources with the contextual understanding and experience of our colleagues across the business. 

 

In this exciting role, you will be joining an established team of 40+ Data Science professionals, based across our UK and India bases, who are using data science to understand, automate and optimise key manual business processes, inform our marketing strategy, and assess product development and revenue opportunities and optimise operational costs.

As Lead Data Scientist, you will havestrong experience in leading data science projects and creating machine learning models and be able to confidently communicate with and enthuse key business stakeholders. 

 

 

Roles and Responsibilities

A typical day in your role at Jet2TT:

 

  • A lead data scientist would lead a team of data science team
  • Lead will be responsible for delivering & managing day-to-day activities
  • The successful candidate will be highly numerate with a statistical background, experienced in using R, Python or similar statistical analysis package
  • You will be expected to work with internal teams across the business, to identify and collaborate with stakeholders across the wider group.
  • Leading and coaching a group of Data Scientists, you will plan and execute the use of machine learning and statistical modelling tools suited to the identified initiative delivery or discovery problem identified.
  • You will have strong ability to analyse the created algorithms and models to understand how changes in metrics in one area of the business could impact other areas, and be able to communicate those analyses to key business stakeholders.
  • You will identify efficiencies in the use of data across its lifecycle, reducing data redundancy, structuring data to ensure efficient use of time, and ensuring retained data/information provides value to the organisation and remains in-line with legitimate business and/or regulatory requirements.  
  • Your ability to rise above group think and see beyond the here and now is matched only by your intellectual curiosity.
  • Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI will be essential. They will also have experience in developing and deploying predictive models using machine learning frameworks and worked with big data technologies.
  • As we aim to realise the benefits of cloud technologies, some familiarity with cloud platforms like AWS for data science and storage would be desirable.
  • You will be skilled in gathering data from multiple sources and in multiple formats with knowledge of data warehouse design, logical and physical database design and challenges posed by data quality.

 

 

Qualifications, Skills and Experience (Candidate Requirements):

 

  • Experience in leading small to mid-size data science team
  • Minimum 7 years of experience in the industry & 4+ experience in data science
  • Experience in building & deploying machine learning algorithms & detail knowledge on applied statistics
  • Good understanding of various data architecture RDBMS, Datawarehouse & Big Data
  • Experience of working with regions such as US, UK, Europe or Australia is a plus
  • Liaise with the Data Engineers, Technology Leaders & Business Stakeholder
  • Working knowledge of Agile framework is good to have
  • Demonstrates willingness to learn
  • Mentoring, coaching team members
  • Strong delivery performance, working on complex solutions in a fast-paced environment

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Jet2 Travel Technologies

Travel and Hospitality Technology

South Yorkshire

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