At a Glance
- Tasks: Lead innovative AI solutions to tackle complex business challenges and enhance digital experiences.
- Company: Dynamic company focused on Data & AI with a commitment to diversity and inclusion.
- Benefits: Generous pension, performance bonuses, share schemes, 30 days holiday, and flexible lifestyle benefits.
- Other info: Join a supportive environment that values diverse backgrounds and offers excellent career growth.
- Why this job: Shape the future of AI while making a real impact on business outcomes.
- Qualifications: Experience in data science and AI, with strong leadership and strategic thinking skills.
The predicted salary is between 60000 - 80000 £ per year.
What you’ll be doing:
- Conceptualise and lead technology‑based solutions that solve complex business problems.
- Improve digital experiences, automate processes, and provide data‑driven insights to support colleague and client journeys.
- Shape and define the capability roadmap for Data & AI, including cloud‑native solutions and scalable architectures.
- Provide technical leadership, coaching, and mentoring for data scientists and engineers.
- Ensure rigorous quality assurance in model development, testing, and deployment.
- Develop proofs‑of‑concept to demonstrate new capabilities and accelerate adoption.
- Partner with colleagues to understand business requirements and translate them into actionable AI solutions.
- Advocate for responsible AI practices and compliance with governance frameworks.
- Guide the team in solving complex AI use cases and improving existing approaches.
- Contribute to the design of training curricula and professional development paths for the Data & AI community.
- Drive measurable business outcomes through AI solutions aligned to strategic priorities.
- Ensure solutions are scalable, secure, and aligned with Group Data & AI standards.
What we’re looking for:
- Set the strategic direction for Data & AI across BCB, aligning investment and priorities with business outcomes.
- Lead the design and delivery of enterprise‑level AI solutions across client journeys, automation, and insight generation.
- Own the Data & AI capability roadmap, ensuring scalable, cloud‑based architectures that support long‑term growth.
- Provide technical and thought leadership to the Data Science & AI team, building capability and setting engineering standards.
- Oversee the full lifecycle of AI solutions, ensuring robust development, deployment, monitoring, and continuous improvement.
- Partner with senior leaders to shape high‑value AI use cases and influence decision‑making at leadership level.
- Embed responsible AI practices, ensuring all solutions meet governance, risk, and regulatory requirements.
- Drive measurable commercial and operational outcomes, with clear accountability for impact, adoption, and value delivered.
Diversity and Inclusion
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.
We are a Disability Confident Leader and guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long‑term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.
Benefits
- A generous pension contribution of up to 15%
- An annual performance‑related bonus
- 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
Data Scientist in City of Westminster employer: Lloyd's
As a leading employer in the Data & AI sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive training programmes, mentorship opportunities, and a focus on responsible AI practices. Located in a vibrant area, we provide a competitive benefits package, including a generous pension contribution, performance-related bonuses, and flexible lifestyle benefits, ensuring our team members thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in City of Westminster
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lloyd's!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Lloyd's.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lloyd's.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Lloyd's, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in City of Westminster
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lloyd's, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lloyd's. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lloyd's
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lloyd's!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
