Data Science Engineer Manager (Audit)



This job posting expired and applications are no longer accepted.
Lloyds Banking Group
Published
30.01.2024
Location
Edinburgh, United Kingdom
Job Type
Hybrid Working Opportunity
TELECOMMUTE

Agile Working Options

Hybrid Working

 

Job Description

Data Science Engineer Manager – Audit
Location: Edinburgh City Centre

Salary: £66,861 - £74,290 + excellent rewards package

Hours: Full – time

Working Pattern: Hybrid, 40% (or two days) in an office site

At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best Financial Services provider for our customers. Through our brands, our Group has a relationship with just about every household and community in the UK. We underpin the lives of millions of individuals and businesses and play a key role in helping to build a growing UK economy.
About the role:

This is a hands-on and multifaceted role within a skilled and encouraging central team of data analysts, scientists, and engineers who are highly visible to senior management, with exposure to the entire Group.

We're looking for someone with a passion for data science and engineering, with strong customer focus and prepared to understand internal auditing, to join our innovative and collaborative team!

You'll work across all stages of the data science life cycle from problem identification to crafting and implementing applications that utilise data analytics and machine learning techniques. These will support delivery of our audit plan, provide insights, and drive innovation within Group Audit & Conduct Investigations.

Join us as we grow with purpose. It is our role to help businesses and individuals, while making a positive contribution to the communities in which we operate. As an organisation, we strive to be an inclusive and diverse place to work for all our colleagues and actively celebrate and learn more about the cultures of those we work with.

 

What you'll be doing...

  • Lead multiple data science and application development projects concurrently with great autonomy. Programming tasks will include working on the design, implementation, and delivery of applications, designing and creating data models and data pipelines in a mixed on-premise and Google Cloud Platform environment.
  • Lead other team members and work closely with stakeholders whilst acting as a project lead and applying agile project management and standard methodologies in software development.
  • Work collaboratively across the audit function to identify innovative opportunities to apply data science techniques for business monitoring, audit planning, and audit delivery.
  • Communicate on technical areas in plain, simple language that is easy to understand.
  • Acquire sufficient levels of auditing and business knowledge so that all deliveries are fit for end users’ purpose, positively impact the quality of the department’s assurance work, and improve capabilities.
  • Answer queries and provide support to end users for existing utilities.

 

What we're looking for...

Key skills, knowledge and experience required to be successful in this role:

  • Working experience leading application development and data science projects, involving techniques such as graph theory, machine learning, or natural language processing.
  • Proven ability to produce data science models for non-technical users while applying best practices in software development and ensuring that key data science, engineering, and programming concepts are applied.
  • Experience with designing and implementing infrastructure on Google Cloud Platform.
  • Experience at leading peers or more junior colleagues on projects, holding colleagues accountable, ensuring the quality and timeliness of the project delivery, and fostering a culture of collaboration and continuous improvement.
  • A demonstrable competence in managing stakeholders, communicate in a way that a lay audience can understand.
  • Ability to support colleague development through providing training, coaching and feedback as appropriate to upskill the team and the wider function.
  • Proficiency in mainstream data science programming languages such as Python or R, and the use of data analytics tools such as SQL or PowerBI, or Tableau.
  • Ability to review complex code and are familiarity with version control.

 

Desirable knowledge, skills & experience:

  • Previous financial services, audit or risk experience is an advantage.
  • Previous experience in web application development (Django, Bootstrap, jQuery) is an advantage.

 

About working for us

Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms.

We want our people to feel that they belong and can be their best, regardless of background, identity or culture.

We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative.

And it’s why we especially welcome applications from under-represented groups.

We’re disability confident. So if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.

We also offer a wide-ranging benefits package, which includes:

  • A generous pension contribution of up to 15%
  • An annual bonus award, subject to Group performance
  • Share schemes including free shares
  • Benefits you can adapt to your lifestyle, such as discounted shopping
  • 30 days’ holiday, with bank holidays on top
  • A range of wellbeing initiatives and generous parental leave policies

 

If you’re excited by the thought of becoming part of our team?

Apply today and find out more.

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks.  We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. 

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

 

We are proud supporters of Women in Data®.  Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

 

APPLY HERE: Data Science Engineer Manager (Audit)

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