Data Scientist

Tbwa Chiat/Day Inc
London
2 days ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - London

Data Scientist | London | AI-Powered SaaS Company

Data Scientist/Machine Learning Engineer - RNA Design

We’re looking for a talentedData Scientistto join our growing Data & BI team and help us transform the way we use data to optimise marketing, growth and acquisition efforts.

In this pivotal role, you’ll partner closely with senior stakeholders across marketing, brand, and digital product acquisition teams to ensure our spend drives maximum impact while uncovering new opportunities for growth. Your work will not only influence our marketing strategies but will also directly support our company’s exciting journey as we expand our reach in the market.

We are looking for someone with hands-on experience in experimentation, geo-testing and causal analysis techniques. Experience working with marketing teams, including on multi-touch attribution and/or media mix modelling is also highly desirable.

Examples of projects you will work on include:

  • Designing, and analysing a programme of experimentation across our marketing channels via incrementality tests and/or geo tests to understand the true impact of our marketing activity.
  • Supporting the acquisition teams in conversion rate optimisation through AB testing and product analytics.
  • Building out and optimising our mix-media marketing model to gain a better understanding of channel incrementality based on conversions and longer-term customer ROI.
  • Developing models to predict a customer’s LTV at sign up; validating the use of predictive LTV as a signal to optimise paid marketing spend.
  • Investigating potential sources of channel cannibalisation across our different sources of demand.

A bit about you.

Requirements

  • 3+ years of experience working in data science.
  • A strong understanding and background in experimentation and causal inference, including AB testing and geo-testing.
  • Experience in one of R or Python for data manipulation, visualisation and statistical model development.
  • Strong competency in SQL.
  • Ability to create compelling stories with data to describe and communicate data insights.
  • Excellent written and verbal communication skills.

Nice to haves

  • Experience working with marketing teams to drive growth and optimise marketing channel spend.
  • Experience building and optimising mix-media models.
  • Experience with DBT (data build tool).

A bit about us.

At Butternut, we put the food back into dog food. We believe dogs deserve to eat the healthiest, most natural and tastiest food with none of the nasties. That’s why we make freshly prepared dog food. Cooked like you would at home. Delivered in perfect portions.#LI-Hybrid

As a B-Corp certified company; you can be sure you are joining a sustainable company who care about our people, product and our impact on the environment.

Our goal is to help dogs live healthier, happier and longer lives whilst leaving humans smiling after every interaction. We’ve come a long way since our co-founders (Kev & Dave) hand-delivered the first Butternut Box, we now feed a lot of dogs across the UK - but we want to feed dogs everywhere. And to do this, we need a team of brilliant people who share that ambition to come and work with us.

A bit about what we offer.

  • 25 days holiday (plus 8 bank holidays) and an additional day for every year of service
  • 5 paid paws days per year to support to learning and/or wellbeing
  • £500 personal learning & development budget
  • Butternut Box employee discount
  • Enhanced parental leave (52 weeks’ maternity leave inclusive of 26 weeks fully paid and 6 weeks fully paid paternity/secondary leave)
  • Co-working office space.
  • Flexible working hours and work from home options
  • Cycle to work scheme
  • Pension with NEST
  • Private Medical Insurance with Vitality
  • Private Dental Insurance with Bupa
  • Time off for fertility treatments and pregnancy loss
  • Paid sabbaticals for squad members with 5 or more years at Butternut
  • Discounted gym access through My Gym Discounts
  • Lots of office dogs (Ajax, Brio, Basil, Chorizo, Lenny, Jasper, Peggy, Pip and many more….)

️A few things to note:

  • Butternut Box is an equal opportunity employer and we value diversity and inclusion. We welcome people of different nationalities, backgrounds, experiences, abilities and perspectives.
  • As our business has grown so has our responsibility to our community, our planet and our business. We are not perfect, but we are committed to doing business the right way and continually improving our social and environmental performance.
  • Were not afraid of putting extra weight on candidates from underrepresented groups. We want strong, diverse teams built from different backgrounds, experiences, and identities. Were ready for the ongoing work that goes into building an inclusive, supportive place for you to do the best work of your career.

Apply for this job

* indicates a required field

J-18808-Ljbffr

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.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.