Data Science Lead

Bud Financial
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Principal Data Scientist - NLP

Principal Data Scientist and Senior Data Engineer

Principal Data Scientist and Senior Data Engineer

Fraud Product Owner

Fraud Product Owner

Our MissionBud's mission is simple. We're here to create the world’s most compelling financial data products. The products we're building are used by some of the world's most prestigious institutions to help millions of their customers take control of their finances.Your Mission‍‍The role of Technical Lead for Data is responsible for managing the technical execution that allows us to achieve that goal. They do this by working closely with our data scientists, data engineers, data analysts and senior stakeholders across the business. You’ll also work alongside our Head of Data to define Bud’s data strategy, as well as taking on line management responsibilities for a small number of data scientists/analysts.Data at BudThe data team is tasked with solving highly analytical problems to enable solutions that tangibly benefit the lives of millions of people. From what data we need to collect to solve problems, to working with that data to glean insights and guide our decision-making, the analyst is a key resource at Bud that is highly valued. Data is key to our business and we need passionate analysts to help research and analyse data to push us forward.

What impact you'll have

Working with the Head of Data to develop our short & long-term vision and strategy for data science & data engineering within Bud Clearing a path to ensure the achievement of that strategy/vision Working as the technical leader on our Data Intelligence product team, accountable with the Product Manager for the day-to-day activities of that team. Managing data science, analytical & engineering projects from start to finish Being a voice for all things data throughout the business Providing a conduit of information & context in and out of their product team with the rest of engineering and across the business Solve technical problems to make sure the team have the data they need, working to very high standards for data privacy and security

What you'll have

Proven experience in Data Science and/or Machine Learning including an understanding of fundamental technologies and processes involved in the research and development of data science models Proven experience in Python Knowledge of Data Engineering principles and architecture Experience defining, consensus building and advocating a data strategy  An excellent internal communicator, comfortable working with senior stakeholders (inc. C-suite), engineers & tech leads from other disciplines, and data scientists, engineers and analysts alike. Comfortable communicating complex ideas with ease and eloquence to non-experts and commercial teams within the business as well as with clients directly in calls or through written answers to questions Ability to interpret and reason about data requirements from customers and internal stakeholders and facilitate the collection, processing and usage of that data

It would be a benefit if you had... Previous experience working in Financial Services / Fintech, particularly working with consumer or business banking transactional data Experience with deep learning frameworks like Pytorch Experience with or good theoretical understanding of deep learning as well as traditional ML techniques. Working knowledge of data pipeline principles and exposure to various tooling such as Apache Spark, Airflow etc. Experience with developing strategies or technology for the anonymisation/de-identification of data Strong grounding and understanding of Data Ethics and/or Data Security In-depth understanding of the application of GDPR and other data protection & privacy regulations & frameworks Experience with Docker and/or Kubernetes Experience working in a cloud environment such as Google Cloud Platform or AWS

Benefits

Competitive salaries.We have benchmarked this role between £120,000 - £140,000Pension.We’ll match pension contributions up to 5% through our scheme with AvivaLearning & Development Budget.£1000 a year to accelerate your learning. Career Progression. We have uniquely built out progression frameworks to help accelerate your growth and quarterly R&D days‍️Mental Health Support.Online therapy and resources through our partners at Spill️‍️Wellbeing Allowance. £50 a month to use towards your wellbeingPrivate Medical Insurancethrough Vitality.Flexible Working.We trust our team to get the job done and will support various flexible working arrangements as part of our hybrid approach, which includes our 60-day work abroad allowance. ️Time Off.25 days + Bank Holidays +additional time over the holiday season. Parental Leave.On top of our enhanced parental leave, we also offer 5 days of paid fertility leave and 10 days of paid pregnancy loss leave as we know the journey to parenthood isn’t always straightforward. Volunteering Leave.2 days off a year to spend time on projects and initiatives that matter to you.

We also have numerous other benefits so feel free to ask on a call with our talent team!We believe that diversity will make us better.At Bud, culture is always at the forefront of our minds! We're looking for bold, authentic and collaborative people who can bring innovation and creativity to our teams in line with our core values. We also value equal opportunities and we do not discriminate on the basis of any protected attribute. We have a commitment to building an inclusive and diverse work environment, which means we encourage you to apply for our roles as we’d love to hear from you. Bud remembers that our team are real people with real lives and wants to support them through all life’s ups and downs. We have a range of leave policies in place to support our team members.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.