Functional Data Consultant - Insurance, Strategy, Governance & Architecture, AI & Data

Functional Data Consultant - Insurance, Strategy, Governance & Architecture, AI & Data

Full-Time 55000 - 65000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Collaborate with clients to deliver innovative data solutions and AI strategies.
  • Company: Join Deloitte's cutting-edge AI & Data team transforming the insurance sector.
  • Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic environment with opportunities to mentor and lead junior professionals.
  • Why this job: Make a real impact in the insurance industry with advanced analytics and machine learning.
  • Qualifications: Minimum 2 years' experience in data within the insurance sector.

The predicted salary is between 55000 - 65000 £ per year.

Connect to your opportunity. Are you a highly motivated and analytical individual with a passion for data and a track record in delivering impactful data or AI solutions? Do you thrive on solving complex business challenges and leading projects within a dynamic, client-facing environment? Our Artificial Intelligence & Data (AI&D) Insurance team at Deloitte is at the forefront of transforming the insurance sector through advanced analytics, machine learning, and artificial intelligence. Our clients include some of the largest and most well-known personal and commercial line brands. We partner with these clients to design, build, and implement innovative data strategies and operating models, robust and scalable data platforms, and cutting-edge AI.

Client engagements are predominantly with organisations facing important transitions. Engagements are typically driven by COOs, CUOs, business unit leaders, CDOs and other members of the senior management team. Client engagements may be as short as a few months, but can also evolve into multi-year, wide-ranging and transformative relationships. You will play a critical role in both developing and delivering data solutions for our clients. You will work closely with clients to better understand their business needs and develop solutions that leverage the latest AI & Data technologies.

Responsibilities:

  • Collaborate with clients to understand their business needs and deliver cutting edge data solutions to address their challenges, ambitions and objectives.
  • Support the design, development, and implementation of complex data pipelines, data warehouses, and analytical solutions for insurance clients.
  • Architect and build robust data platforms utilising cloud technologies (e.g., AWS, Azure, GCP).
  • Translate complex business problems into technical requirements and actionable data strategies.
  • Develop, validate, and deploy machine learning models and AI solutions to address specific client challenges, such as risk assessment, fraud detection, claims optimisation, and customer personalisation.
  • Communicate project progress, risks, and issues to clients and stakeholders, and provide recommendations for addressing any challenges that arise.
  • Mentor and guide junior data professionals, fostering their technical and consulting skills.
  • Stay up to date with industry trends and the latest advancements in data & AI technology and identify opportunities to incorporate new tools and techniques into client solutions.
  • Contribute to business development activities, including proposal writing and solution design.
  • Provide thought leadership and contribute to the development of innovative insurance data solutions, sharing your expertise and best practices with clients and colleagues.

Connect to your skills and professional experience:

We are seeking consultants with a passion for data who have a minimum of 2 years' experience working with data in insurance. This could be professional services or industry experience across one or many functional domains (e.g. underwriting, distribution, claims, finance). You will play a key role in delivering large, complex data initiatives within a fast-paced environment in the insurance industry.

Qualifications:

  • Insurance industry functional domain expertise.
  • Good understanding of data concepts such as data modelling, data management, data quality, master data management, reference data, reporting and visualisation, AI, specifically applied to insurance.
  • Excellent analytical and problem-solving skills, with the ability to break down complex issues and propose practical, data-driven solutions.
  • Strong communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
  • Ability to tell a compelling story by structuring thoughts in a way that is engaging and easy to follow, including using data visualisations to evidence and articulate arguments.
  • Experience in developing senior stakeholder relationships across organisations and understanding how to leverage these relationships to drive and embed change.
  • Ability to work independently, think strategically and solve problems, identifying opportunities for innovation and growth while maintaining a focus on delivering high-quality solutions that meet or exceed client expectations.
  • Exceptional time management skills to manage competing priorities, across client service, practice development, and business development responsibilities.

Hybrid Working Policy:

You’ll be based in London with hybrid working. Depending on the requirements of your role, you will have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You’ll get the chance to meet face-to-face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing. Please check with your recruiter for the specific working requirements that may apply for your role.

Functional Data Consultant - Insurance, Strategy, Governance & Architecture, AI & Data employer: Hm Revenue & Customs (Hmrc)

Deloitte is an exceptional employer that champions innovation and professional growth within the dynamic field of AI and data consulting. With a strong focus on collaboration and mentorship, employees are empowered to tackle complex challenges in the insurance sector while enjoying a flexible hybrid working environment in London. The company not only invests in cutting-edge technology but also prioritises employee wellbeing and career development, making it an ideal place for those seeking meaningful and rewarding work.

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Contact Details:

Hm Revenue & Customs (Hmrc) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Functional Data Consultant - Insurance, Strategy, Governance & Architecture, AI & Data

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. Building relationships can open doors to opportunities that aren’t even advertised.

Tip Number 2

Showcase your skills! Create a portfolio or a personal website where you can display your projects, especially those related to data solutions and AI. This gives potential employers a tangible sense of what you can do.

Tip Number 3

Prepare for interviews by practising common questions and scenarios specific to the insurance and data sectors. Think about how you can demonstrate your problem-solving skills and your ability to communicate complex ideas clearly.

Tip Number 4

Don’t forget to apply through our website! We’re always looking for passionate individuals who want to make an impact in the data and AI space. Your next big opportunity could be just a click away!

We think you need these skills to ace Functional Data Consultant - Insurance, Strategy, Governance & Architecture, AI & Data

Data Analysis
Machine Learning
AI Solutions Development
Data Pipeline Development
Cloud Technologies (AWS, Azure, GCP)
Data Modelling
Data Management

Some tips for your application 🫡

Show Your Passion for Data:When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've tackled complex data challenges in the past, especially in the insurance sector. We want to see that you’re not just skilled, but genuinely excited about what you do.

Tailor Your Application:Make sure to customise your application to align with the job description. Highlight your experience with data modelling, AI, and any relevant tools like AWS or Azure. We love seeing candidates who take the time to connect their skills directly to what we’re looking for!

Communicate Clearly:Your ability to communicate complex ideas is key! Use clear and concise language in your application, and don’t shy away from showcasing your storytelling skills. Remember, we want to see how you can articulate technical concepts to both technical and non-technical audiences.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture while you’re at it!

How to prepare for a job interview at Hm Revenue & Customs (Hmrc)

Know Your Data Inside Out

Make sure you have a solid grasp of data concepts relevant to the insurance industry, such as data modelling and management. Be prepared to discuss how you've applied these concepts in past projects, especially in relation to AI and analytics.

Showcase Your Problem-Solving Skills

Prepare examples of complex business challenges you've tackled using data-driven solutions. Highlight your analytical skills and how you translated technical requirements into actionable strategies that delivered results for clients.

Communicate Clearly and Effectively

Practice articulating complex technical concepts in a way that's easy for non-technical stakeholders to understand. Use storytelling techniques and data visualisations to make your points engaging and memorable during the interview.

Demonstrate Your Client Engagement Experience

Be ready to discuss your experience working with senior stakeholders and how you've built relationships that drive change. Share specific examples of how you've collaborated with clients to develop innovative data solutions that meet their needs.