At a Glance
- Tasks: Lead teams to create impactful AI solutions for public services like the NHS.
- Company: Join Faculty, a top applied AI firm recently acquired by Accenture.
- Benefits: Competitive salary, mentorship opportunities, and access to global resources.
- Other info: Dynamic team environment with opportunities for professional growth and development.
- Why this job: Make a real difference in millions of lives through innovative AI technology.
- Qualifications: Expertise in Python and deep learning; experience in consulting or UK government.
The predicted salary is between 60000 - 80000 £ per year.
Faculty is a leading London-based applied AI firm, recently acquired by Accenture, that delivers high‑stakes AI solutions for the UK government.
As a Senior Data Scientist in the Public Services unit, you will lead project teams to build bespoke AI solutions for departments like the NHS and HMRC. You’ll bridge the gap between cutting‑edge research and real‑world deployment, designing robust software architectures and mentoring colleagues to improve outcomes for millions of citizens.
Why this role is remarkable:
- Directly impact the lives of millions by optimizing public services like the NHS and reducing bureaucratic backlogs across the UK government.
- Join a technically ambitious, PhD‑heavy team working on creative algorithmic thinking across NLP, computer vision, and LLM‑enabled systems.
- Enjoy the agility of a leading AI specialist with the global platform and resources of Accenture following their recent acquisition.
What You Will Do:
- Lead high‑impact project teams to deliver bespoke algorithms and high‑stakes AI solutions to various public sector clients.
- Conceive core data science approaches and design robust software architectures for new engagements while ensuring rigorous technical delivery.
- Partner with commercial teams to shape project scope and build deep relationships with senior stakeholders in government departments.
The ideal candidate:
- Proven expertise in Python (NumPy, Pandas) and deep learning frameworks like PyTorch, with a strong background in professional data science.
- Prior experience in consulting or working within UK government departments such as HMRC, DWP, or DSIT to translate complex problems into mathematical frameworks.
- Eligible for UK Security Clearance (SC) and demonstrated experience in leading technical teams, mentoring junior scientists, and managing delivery timelines.
Senior Data Scientist at Faculty employer: Jack & Jill
Faculty is an exceptional employer, offering a unique opportunity to work at the forefront of applied AI in London. With a strong focus on employee growth and a collaborative work culture, you will be part of a technically ambitious team that values innovation and mentorship. The recent acquisition by Accenture enhances our resources, allowing you to make a meaningful impact on public services while enjoying the agility of a leading AI specialist.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist at Faculty
✨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 Jack & Jill!
✨Show Off Your Projects
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✨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 Jack & Jill.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Faculty at Jack & Jill, 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 Senior Data Scientist at Faculty
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 Jack & Jill, 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 Jack & Jill. 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 Jack & Jill
✨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 Jack & Jill!
✨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.
