Data Science Manager

Jet2 Plc; West Yorkshire; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading company is seeking a Data Science Manager to lead multiple teams and deliver high-quality data solutions. This role involves collaboration with stakeholders, a commitment to effective data governance, and maintaining technical expertise. You’ll drive data initiatives and coach Data Scientists while benefiting from a hybrid working model and managerial bonuses.

Benefits

Hybrid working (in office 3 days per week)

Manager’s bonus

Annual pay reviews

Qualifications

• Experience in managing Data Science teams and delivering solutions from concept to production.
• Strong analytical and communication skills.
• Ability to maintain hands-on contributions while managing a team.

Responsibilities

• Oversee Data Science teams and promote best working practices.
• Develop understanding of business areas and drive solution designs.
• Remain hands-on up to 40% of the time.

Skills

Data Science

Machine Learning

AI Solutions

SQL

Python

Data Governance

Storytelling

Communication Skills

Tools

Tableau

Snowflake

Job description

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Reporting to the General Manager - Data Science, our Data Science Manager will oversee a number of Data Science teams, owning the delivery of high-quality solutions, while being able to remain hands-on and get into the detail. You'll collaborate with senior business stakeholders and data teams, promote and help evolve our ways of working, and ensure our teams build out advanced and measurable analytics and machine learning solutions that realize demonstrable value to our business.

As our Data Science Manager, you’ll have access to a wide range of benefits including:

• Hybrid working (we’re in the office 3 days per week)
• Manager’s bonus
• Annual pay reviews

What you'll be doing:

With demonstrable experience in managing Data Science teams and taking projects from concept to production, you'll motivate the Data Science teams to deliver high-quality Data Science, Machine Learning, and AI solutions appropriate to the challenges on the agreed Roadmap. You'll also:

Develop a deep understanding of the business area the teams are working in, and own the solution designs the team proposes to key questions in those areas.

Ensure adherence to the DS process and ways of working, understand each pod’s capacity, and ensure they are appropriately utilized.

Have an expectation of remaining hands-on up to 40% of the time.

Provide regular, clear communication to the Data Science Management Team on the status of delivery initiatives in the pods, including risks and issues impacting delivery.

Work with our Product Owners to prioritize DS tasks that are committed and unblock issues that may arise.

Be skilled at storytelling, explaining your solutions to stakeholders, and producing recommendations on how the business can realize value from our work.

Coach and support our Lead Data Scientists, providing direct line management and supporting the Leads in managing their Data Scientists. Our team is based at both Leeds and India, requiring the ability to perform this role remotely where needed.

What you'll have:

You’ll be highly numerate with a strong analytical background and proven ability to maintain hands-on technical contribution while managing a team. You’ll also:

Have demonstrable experience in delivering data science initiatives from concept into production, with expertise in data pre-processing, feature engineering, and model evaluation.

Have strong experience in communicating complex analytical and technical concepts to business stakeholders.

Be experienced in using Python or similar statistical analysis packages. Possess strong SQL skills, with exposure to Snowflake desirable, and the ability to create clear data visualizations in tools such as Tableau.

Be able to demonstrate experience in leading data scientists, monitoring their performance, intervening when necessary, and supporting their career development.

Have an appreciation of data governance and how to assess and improve data quality.

Show commitment to keeping your knowledge up to date through self-learning, supported by relevant courses and industry events.

Have a methodical approach with good attention to detail.

Possess effective communication skills and the ability to work with international teams across cultures.