At a Glance
- Tasks: Use advanced analytics to enhance audit effectiveness and identify risks.
- Company: Join a forward-thinking organisation that values diverse talent.
- Benefits: Competitive salary, professional development, and opportunities for innovation.
- Other info: Dynamic role with opportunities to learn about cutting-edge technologies like AI.
- Why this job: Make a real impact by applying data science in auditing.
- Qualifications: 2-3 years' experience in data science, SQL, and Python proficiency.
The predicted salary is between 45000 - 55000 £ per year.
Requirements
- 2-3 years' experience delivering data science and analytics to support audits. Alternatively, experience using data science and analytics in a non-audit role with a proven grasp of internal audit or risk management.
- Ability to understand business processes, risks and controls, dealing with ambiguity to ensure you deliver assurance and insights that make a difference.
- Proficiency in SQL and Python, with experience using both in a work context.
- Knowledge of database and data warehouse concepts, analytics and core data science techniques.
- Knowledge of visualisation techniques.
- Experience presenting technical topics and complex analysis to a non-technical audience.
- (Desirable) Experience with machine learning, Generative AI and Google Cloud Platform (GCP).
- (Desirable) Experience with Power BI.
We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.
What the job involves
- Apply advanced analytics and data science techniques to evaluate the effectiveness of the Group’s control environment, providing assurance and identifying deficiencies.
- Partnering with other audit colleagues to assess risks and test controls, producing robust, defensible analyses, and help auditors to interpret your results.
- Seek out opportunities to use innovative data science techniques, such as Generative AI and Machine Learning, helping to identify new use cases and enhancing the way we audit.
- Establish relationships with our internal audit teams to facilitate the delivery of data science and analytics, whilst learning about the Group’s businesses, risks and controls.
- Promote the use of data science and analytics in audit, upskill audit colleagues in data analytics, and contribute to department-wide presentations.
- Identify opportunities for innovation, contribute to data science and analytics development projects, and help the function to be more data and AI driven.
- Develop your knowledge of the Group’s strategy, products & markets and be responsible for your own professional development.
Senior Data Science Analyst (Audit) employer: Lloyd's
As a Senior Data Science Analyst in our dynamic audit team, you will thrive in a collaborative work culture that values innovation and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages the use of cutting-edge technologies like Generative AI and Machine Learning. Join us in a location that fosters creativity and growth, making a meaningful impact on our audit processes and the wider organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Analyst (Audit)
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry you're targeting. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with SQL, Python, and any data visualisation tools you've used. This will help you stand out during interviews and showcase your practical knowledge.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing complex data science concepts in simple terms. You might be asked to explain your work to non-technical folks, so being able to break it down is key.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it shows you're genuinely interested in the role and the company.
We think you need these skills to ace Senior Data Science Analyst (Audit)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science and analytics, especially in relation to audits. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or roles you've had.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of how you've used SQL and Python in your previous work, and how you’ve tackled ambiguity in business processes. Let your personality shine through!
Showcase Your Technical Skills:We love seeing proficiency in SQL, Python, and any visualisation tools like Power BI. If you have experience with machine learning or Generative AI, make sure to highlight that too! It’s all about demonstrating your technical prowess.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Lloyd's
✨Know Your Data Science Stuff
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past roles, especially in relation to audits or risk management. Having specific examples will show that you can apply your knowledge effectively.
✨Understand the Business Context
Familiarise yourself with the company's business processes, risks, and controls. This will help you articulate how your data science skills can provide assurance and insights that matter. Showing that you can navigate ambiguity and still deliver results will impress the interviewers.
✨Communicate Like a Pro
Prepare to present complex analyses in a way that's easy for non-technical folks to understand. Think about how you can simplify your findings and make them relatable. Practising this skill will not only help in the interview but also in your future role.
✨Show Your Innovative Side
Be ready to discuss any experience you have with machine learning, Generative AI, or visualisation techniques like Power BI. Highlighting your ability to seek out innovative solutions will demonstrate your proactive approach and willingness to enhance auditing processes.
