Senior Data Scientist London, England

Group M Worldwide Inc.
London
4 weeks ago
Create job alert

Senior Data Scientist WHO WE ARE Choreograph is WPP’sglobal data products and technology company. We’re on a mission totransform marketing by building the fastest, most connected dataplatform that bridges marketing strategy to scaled activation. Wework with agencies and clients to transform the value of data bybringing together technology, data and analytics capabilities. Wedeliver this through the Open Media Studio, an AI-enabled media anddata platform for the next era of advertising. We’re endlesslycurious. Our team of thinkers, builders, creators and problemsolvers is over 1,000 strong, across 20 markets around the world.WHO WE ARE LOOKING FOR We are looking for a Senior Data Scientistwho has experience and expertise in a wide range of methodologies,toolkits and applications to a variety of problems in the medialandscape. As a Senior Product Data Scientist, you will collaboratewith teams from Engineering, Product, and fellow data scientists todevelop advanced models and solutions. Your responsibilities willinclude conducting hypothesis testing, applying statisticalanalysis techniques, and designing and implementing modelingmethodologies. You will engage with stakeholders to understandtheir requirements, provide regular updates on project progress,and translate complex technical concepts into actionable insightsfor both technical and non-technical audiences. You will be a partof a vibrant group, collaborating with specialist and businessteams, demonstrating your technical knowledge, growing yoursoft/interpersonal skills and helping develop and improve theproduct offerings of Choreograph. WHAT YOU’LL DO - Rapidlyprototype as part of a product team, and iterate on experimentalprojects using a hacker mentality to test hypotheses, validateassumptions, and drive innovation. - Align experiments to answerbusiness and product-centered questions, ensuring a clearunderstanding of the objectives and desired outcomes. - Understandbusiness analysis techniques, including SWOT (Strengths,Weaknesses, Opportunities, Threats) and SOAR (Strengths,Opportunities, Aspirations, Results) analysis to understandbusiness priorities and align data science initiatives withorganizational objectives. - Collaborate with data engineers,product teams, and stakeholders to develop and create data productsthat address specific business needs and requirements with minimalguidance. - Support and upskill more junior team members. - Gather,analyze, and visualize data to create compelling and informativenarratives for stakeholders, using storytelling techniques toeffectively communicate insights and recommendations. - Stay up todate with the latest advancements, trends, and research in AI, datascience, machine learning, and related technologies. - Documentexperimental methodologies, findings, and insights to ensuretransparency, reproducibility, and knowledge sharing within theteam and across the organization. - Collaborate withcross-functional teams to define data requirements, designexperiments, and develop strategies to extract meaningful insightsfrom complex datasets. - Conduct rigorous data analysis, applyingstatistical techniques and data visualization to uncover patterns,trends, and actionable insights. - Evaluate and recommendappropriate tools, frameworks, and technologies to enhanceexperimentation, analysis, and data storytelling capabilities. -Adhere to data governance and privacy policies to ensure compliancewith relevant regulations and industry best practices. WHO YOU ARE- Experience analyzing large volumes of data. - Good understandingof data fusion, enrichment and synthetic methodologies. - Excellentanalytical skills and strong statistical knowledge, as well asinterest in applying them to complex problems. - Programmingproficiency in Python. - Extensive experience solving analyticalproblems using quantitative approaches. - A passion for empiricalresearch and for answering hard questions with data. - A flexibleanalytic approach that allows for results at varying levels ofprecision. - Ability to communicate complex quantitative analysisin a clear, precise, and actionable manner. If you are ready to beat the forefront of the AdTech industry, shaping its future, anddriving success for both Choreograph and our clients, we encourageyou to apply and join our team. Choreograph is the beating heart ofdata inside WPP’s media investment group, GroupM, the world’sleading media investment company responsible for more than $60billion in annual media investment. Discover more about Choreographatwww.choreograph.com. GroupM and all its affiliates embrace andcelebrate diversity, inclusivity, and equal opportunity. We arecommitted to building a team that represents a variety ofbackgrounds, perspectives, and skills. The more inclusive we are,the more great work we can create together. #LI-Promoted#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist - London - Hybrid Working

3 Days Left: Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Marketing FullTime London

Senior Data Scientist

Senior Data Scientist

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 AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

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

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.