Head of Data Science & Measurement

Jobleads
London
4 days ago
Create job alert

About Us

At Assembly, we help brands find the change to fuel business growth. We are an award-winning global brand performance agency, home to 1,500 talented people across 25 offices globally. We create unique data, technology and media solutions that enable faster and smarter problem solving and an inspired, collaborative workplace culture. At Assembly we embody three core values:Show Up- actively contribute to a space of personal and collective growth;Make Change- embrace obstacles as opportunities, taking intentional steps to drive positive change; andWin Well- approach success with integrity, responsibility, and a commitment to collaboration, understanding that the journey is as important as the destination. Together, we create an environment that fosters continuous learning, adaptability, and a shared passion for making a meaningful impact.

Overview

As a Head of Data Science, you will be working on problems that require both creativity and analytic rigor. You will be responsible for helping drive product adoption and partnering closely with cross-functional teams including Consulting, Product, and Media teams.

Responsibilities

  • Work with our Head of Consultancy and a team of Data Scientists to develop our data science product set and grow the department globally.
  • Manage a team of data scientists and lead client engagements at a senior level.
  • Identify opportunities for new products and services – particularly capitalizing on the evolving landscape around data privacy and measurement.
  • Directly support key global clients, both as an added value service and for commercial consulting opportunities.
  • Own, manage, and contribute to large and challenging client projects.
  • Guide and support regional teams in their own Data Science delivery, ensuring they are presenting consistent and compelling work.
  • Be the standard bearer for data science and measurement by leading educational workshops both internally and for clients.

Required SkillsEssential

  • Excellent project management skills, experience working in an Agile environment.
  • Demonstrable experience of solving business challenges using technical acumen and/or mathematical or data science methodologies.
  • Excellent communication skills and strong experience of managing business communications and presentations.
  • Minimum 4 years’ experience using data mining/analytical methods, preferably in marketing, market research and/or financial concentrations.

Preferred

  • A practical understanding of how digital marketing works and common challenges facing Marketers.
  • Experience working with senior stakeholders at scaled global clients, preferably in a marketing or marketing science context.
  • Experience working with Econometrics or Media Mix Modelling.

Essential

  • Exceptional analytical thinker with a passion for using data to solve business problems (3-4 years of experience in product analytics or Data Science).
  • Charismatic storyteller ready to lead growth conversations with senior leadership.
  • A strong understanding and working knowledge of the use of R.
  • Knowledge of SQL and hands-on experience with large relational databases.
  • Use of version control (Git, GitHub) and CI/CD processes.
  • Foundational knowledge and experience working with Python.

Preferred

  • Experience with platforms and data typically found in digital marketing including analytics and media serving platforms.
  • An understanding of the MarTech and digital marketing measurement landscape.
  • Knowledge around the latest data privacy and security developments in online advertising.
  • Experience working with cloud computing environments such as AWS or GCP.

Personal Skills

  • Friendly, approachable, and able to collaborate with both technical and non-technical colleagues.
  • Curious and proactive - continually looking for new opportunities for the Data team to work with clients and internal teams, with a desire to learn and develop innovative analytical techniques.
  • Highly organized and process driven to keep on top of multiple projects at once.

Equal Opportunities

Equal Opportunities

Assembly is an advocate for equal opportunity in the workplace. We are committed to ensuring equal opportunities regardless of race, colour, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

Social and Environmental Responsibility

At Assembly, we have a responsibility to bring impact into our every day. This means we must always look for ways in which to be conscious citizens in our roles to support society and environmental sustainability. We encourage employees to; be a conscious citizen by actively participating in our organisation's sustainability efforts, help us promote environmentally friendly practices within the workplace, collaborate with community organisations and stakeholders to support initiatives aligned with our company's values, participate in volunteer activities that benefit the community. Employees are also encouraged to make suggestions and evaluate our business practices to identify areas for improvement in social and environmental performance. Employees at Assembly demonstrate commitment to sustainability and inclusivity in their actions and behaviours.

#J-18808-Ljbffr

Related Jobs

View all jobs

Head of Data and Business Intelligence

Digital Marketing Specialist

Head of Data Science (Credit Risk & Fraud)

Head of Data Science & Analytics

Head of Data Science - Credit Risk (Basé à London)

Head of Data Science

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.

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

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.