Data Science Manager, Operations

Referrals Only; Greater London; Hybrid; GBP 110,000 - 130,000; Full time

Job summary

A progressive fintech company is seeking a Data Science Manager in London, with responsibilities including leading a team of data professionals, driving strategic decisions, and improving operational efficiencies through insights. Candidates should have a minimum of 4 years of experience, strong leadership skills, and familiarity with Python and SQL. The role offers remote work options across the UK, with a competitive salary package ranging from £110,000 to £130,000 per year and benefits such as visa sponsorship and a learning budget.

Benefits

Visa sponsorship

Flexible working hours

Learning budget of £1000 per year

Qualifications

• At least 4 years of experience as a Data Science Manager.
• Familiarity with a variety of Data Science tools and coding languages.
• Experience in building data products and ML models.

Responsibilities

• Lead data scientists and analysts to improve customer operations.
• Hire and develop talented Data team members.
• Generate insights for customer operations strategy.

Skills

Data leadership

Strategic decision-making

Stakeholder management

Strong communication

Experience with Python and SQL

Team development

Product knowledge

Tools

Machine learning tools

Business intelligence tools

Job description

London UK remote 110000 to 130000 Stock Options

About our Operations Team

Our Operations Data team consists of over 40 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning and Data Science.

In our Operations Collective you’ll have the opportunity to embed into an area that is the heart of how we work with our customers problems - delivering award winning customer support - and is full of data challenges. Data and Machine Learning supports all aspects of Operations from workforce planning to customer support experience to enabling teams to work effectively and efficiently.

You’ll play a key role by…

You’ll work closely with the Product and Engineering in an agile product environment. You’ll champion the use of data bring ideas to life through a rigorous analytical approach. Your work will focus on improving our efforts in customer demand insights & help assistance.

You’ll help your team grow hiring new team members supporting their personal development. You will manage a team with Data Scientists and Data Analysts working together with Analytics Engineers to drive product innovation and you’ll get to see the impact of all your work in the product changes we make.

We have a strong culture of data-driven decision making across the whole company. And we’re great believers in powerful real‑time analytics and empowerment of the wider business. 90% of day‑to‑day data‑driven decisions are covered by self‑serve analytics through Looker which gives data folk the head space to focus on more impactful business questions and analyses.

Your day‑to‑day

• Be a key leader in building a discipline of exceptional data scientists and analysts working on making Monzo Operations world class for everyone
• Help hire, develop and retain talented Data people
• Generate insights that can change the direction of our customer operations strategy
• Bring data leadership and rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
• Liaise with product and engineering managers to make sure we collect the right data to produce relevant business insights

We would love to hear from you if…

• What you’re doing here at Monzo excites you!
• You must have at least 4 years of experience as a Data Science Manager
• You are a strong strategic data leader and love to drive decisions
• Strong experience with working with executive or C‑level peers managing stakeholders across levels of seniorities and disciplines
• You’re excited by the opportunity to work autonomously to impact the future of a fast growing ever evolving business
• You’re familiar with using a variety of Data Science tools (from business intelligence experimentation and causal inference through to machine learning) and coding languages (Python and SQL). You know when to pick the right tool and can help others do the same
• You know how to build confidence with senior leaders across the business
• You have strong product knowledge and have built data products previously
• You have experience working with teams that build ML models and you understand how to build the right data set for ML models

The interview process

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call
• 45 minute call with hiring manager
• 3 x 1‑hour video calls with various team members

Our average process takes around 3‑4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on

What’s in it for you

We can help you relocate to the UK

We can sponsor visas

This role can be based in our London office but we’re open to distributed working within the UK (with ad hoc meetings in London).

We offer flexible working hours and trust you to work enough hours to do your job well at times that suit you and your team.

Learning budget of 1000 a year for books training courses and conferences

And much more see our full list of benefits here

Employment Details

Full Time

Monthly Salary: 110000 - 130000

Vacancy: 1

Experience: years