At a Glance
- Tasks: Lead high-impact data science projects and mentor a talented team.
- Company: Join Faculty, a leader in human-centric AI innovation.
- Benefits: Enjoy unlimited leave, private healthcare, and flexible working options.
- Other info: Dynamic hybrid work environment with opportunities for personal and professional growth.
- Why this job: Shape the future of AI while making a real difference in various industries.
- Qualifications: Expertise in machine learning, Python, and experience in financial services.
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.About the team In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape.We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment.#LI-PRIOAbout the roleAs a Principal Data Scientist at Faculty, you will serve as a technical leader and domain expert who owns and drives the delivery of the most technically complex, high-impact projects and programmes for our most important clients. You also will set the technical direction for the data science team, mentor, and develop them so our data scientists remain best in class.This position focuses on deep individual contribution and technical excellence, influencing the broader data science community at Faculty.Serving as a technical authority on machine learning, Generative AI, and other advanced data science methods to deliver innovative and impactful solutions.Contributing to the scoping and bid processes for large-scale, high-stakes projects, influencing client decisions with technical expertise.Leading and mentoring project teams and direct reports, ensuring the successful delivery of high-value and complex projects.Acting as a thought leader, publishing papers, and presenting at industry and scientific conferences to amplify a distinctive AI vision for our clientsWho we're looking for:You bring demonstrable technical ability, creativity and flexibility from your extensive experience (in academia , industry or both) as thought leader in this space You’ll have prior experience working in or for financial services clients, with standout examples where you’ve led the delivery of distinctive applications that have driven commercial impactYou bring broad knowledge across a range of machine learning techniques, including experience building Generative AI and agentic AI applications with Large Language ModelsYou have advanced coding skills in Python and proven experience building and maintaining scalable codebases.You are highly proficient in strategic problem-solving and communicating solutions to non-technical audiences, able to select appropriate solutions and balance innovation with practical implementation.The Interview ProcessTalent Team Screen (30 minutes)Introduction to Business Unit Director (30 minutes)Take Home Technical Assessment Technical Interview (90 minutes) Commercial & Principles Interview (90 minutes)Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. Unlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid WorkingIf you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. LocationUK - LondonAddressLondon, LondonEmployment TypeFull timeLocation TypeHybridDepartmentProfessional & Financial Services
Data Scientist - Machine Learning/Python/Tableau in London employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer, particularly for the Head of Banking role, where you will lead transformative AI initiatives in a dynamic banking landscape. Our culture fosters innovation and collaboration, offering unlimited annual leave, private healthcare, and family-friendly flexibility to ensure a healthy work-life balance. With a strong commitment to employee growth through mentorship and coaching, we empower our team to thrive in a supportive environment that values diverse perspectives and encourages meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Machine Learning/Python/Tableau 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 Faculty!
✨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 - Machine Learning/Python/Tableau at Faculty.
✨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 Faculty.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist - Machine Learning/Python/Tableau at Faculty, 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 - Machine Learning/Python/Tableau 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 Faculty, 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 Faculty. 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 Faculty
✨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 Faculty!
✨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.
