At a Glance
- Tasks: Lead innovative Data & AI projects, shaping solutions for healthcare and public sectors.
- Company: Dynamic consultancy focused on digital transformation and data innovation.
- Benefits: Competitive salary, bonus, hybrid work, and opportunities for professional growth.
- Other info: Mentorship opportunities and a chance to stay ahead of emerging tech trends.
- Why this job: Make a real impact in healthcare by unlocking the value of data and AI.
- Qualifications: Strong experience in Data, AI, and client engagement; healthcare project experience preferred.
The predicted salary is between 72000 - 88000 £ per year.
We're looking for a Data & AI Lead to join a growing consultancy delivering large-scale digital transformation across the healthcare and public sectors. This is an opportunity to combine technical leadership, client engagement and strategic consulting, helping organisations unlock the value of their data through modern platforms and AI.
While healthcare experience is important, we're open to candidates from the wider Public Sector who have delivered at least one significant healthcare programme and are looking to build on that experience.
The Opportunity
You'll work with senior stakeholders to understand business challenges, shape new opportunities and design innovative Data & AI solutions that deliver measurable outcomes. From early client engagement through to successful delivery, you'll provide architectural leadership and trusted technical advice across complex transformation programmes. Alongside delivery, you'll help develop new offerings, contribute to business growth and mentor consultants within an expanding Data & AI practice.
What You'll Be Doing
- Lead workshops and discovery sessions with senior client stakeholders.
- Shape Data & AI opportunities, supporting proposals and solution design.
- Provide strategic advice on data architecture, analytics and AI adoption.
- Design modern, scalable data platforms and integration solutions.
- Guide delivery teams through architecture assurance and technical governance.
- Support the development of reusable frameworks, accelerators and new service offerings.
- Stay ahead of emerging Data & AI trends, identifying opportunities to bring innovation to clients.
- Mentor colleagues and help develop a high-performing technical practice.
What We're Looking For
Essential
- Strong experience in a client-facing Data, AI or Data Architecture role.
- Proven experience shaping opportunities, leading workshops and supporting pre-sales activities.
- Expertise in data architecture, including data modelling, governance, integration and transformation.
- Experience delivering large-scale Data or AI programmes within the Public Sector or Healthcare.
- At least one significant healthcare project, with a good understanding of the challenges and opportunities within the sector.
- Strong knowledge of cloud data platforms, analytics and AI technologies.
- Excellent stakeholder management skills, with experience engaging senior business and technical leaders.
- Experience providing technical leadership and mentoring delivery teams.
Desirable
- Experience working with NHS organisations or wider healthcare bodies.
- Knowledge of healthcare interoperability standards such as FHIR, HL7 or SNOMED.
- Experience with Secure Data Environments (SDEs) or research data platforms.
- Understanding of Generative AI and Large Language Models.
- Experience developing reusable offerings, accelerators or go-to-market propositions.
Data in London employer: ANSON MCCADE
Anson McCade is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible remote working environment in the UK. With a strong focus on security and digital transformation, employees benefit from comprehensive training programmes and clear pathways for career advancement, all while contributing to impactful projects alongside talented teams and senior stakeholders.
StudySmarter Expert Advice🤫
We think this is how you could land Data in London
✨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 ANSON MCCADE!
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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 at ANSON MCCADE.
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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 ANSON MCCADE.
✨Apply Directly through Our Website
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We think you need these skills to ace Data in London
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 ANSON MCCADE, 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 ANSON MCCADE. 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 ANSON MCCADE
✨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 ANSON MCCADE!
✨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.
