Senior Data Scientist

Senior Data Scientist

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Senior Data Scientist to tackle complex data challenges and optimize our ad tech solutions.
  • Company: Index Exchange is a leading global advertising exchange, shaping the future of ad tech with innovation.
  • Benefits: Enjoy comprehensive health plans, flexible schedules, equity packages, and generous parental leave.
  • Why this job: Be part of a diverse, inclusive culture that values collaboration and supports your growth in a fast-paced environment.
  • Qualifications: Requires a Bachelor's or Master's in a relevant field and 3+ years of applied data science experience.
  • Other info: Work remotely or from our global offices; we prioritize a supportive and innovative workplace.

The predicted salary is between 43200 - 72000 £ per year.

We shaped the earliest forms of ad tech, and we’re looking for the technical expertise to help shape its future. Our customers have unique problems that can only be solved at internet scale, and that’s where the technical skills of our team make a real difference.

Our exchange handles over 500 billion requests every day (for comparison Google serves an estimated 9 billion searches a day), all running in our own global data centers. Every member of our technology team has an enormous amount of autonomy in building and managing our systems to support and enable our growing level of scale. Through the transparency of our technology, dedication to innovation and integrity, and long-standing customer relationships, we lead through change.

What’s it like to work at Index?

We have more than 550 Indexers around the globe dedicated to building a safe and transparent marketplace that provides a trusted experience for consumers.

Index is an exciting and fast-paced place to work. We’re built on our values of change, support, learning and teaching, trust, and intention. We pride ourselves on our independence and openness, not only in our technology, but in our teams, too. Our diverse and inclusive culture celebrates how we can leverage our unique differences to help drive Index forward.

Our culture of success is truly supportive and collaborative. In working together across our teams, we’re continually investing in the people and technology to solve the industry’s most complex problems. As we extend the promise of ad tech to every channel, we’re looking for talented engineers to help advance Index, and the industry, forward.

Are you ready to join the programmatic evolution?

Index Exchange funds the open web. Content and journalism across the internet are funded through advertising, and we are the engine that helps to make that happen transparently, safely and efficiently. Handling hundreds of billions of auctions per day within milliseconds requires an intense understanding of the exchange and the ecosystem that we live in.

Our business is growing significantly every year and is poised to grow even faster. Our people and our platforms are the foundation and enabler of that growth. We are significantly expanding our technology teams, and are looking for technologists with a passion for high performance software development, and a drive to deliver software products and platforms that enable and empower industries at a global scale.

About The Role:

We’re looking for a Senior Data Scientist who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same.

Index’s scale spans the globe, our transactions happen 24×7 in our global data centers, and every second that passes millions of requests are evaluated across our exchange. In order to achieve our mission, global efficiency and reliability are absolutely key, as every millisecond quite literally counts in our business.

What We’re Looking For:

  • Learn and understand the business vision and market opportunity for the company
  • Work backwards from business problems to generate scientific hypotheses to guide development focus and pragmatism
  • Use analytical, statistical and database skills to understand large, complex datasets with the aim to increase the programmatic efficiency
  • Design, develop, and drive implementation of complex data-centric solutions, including large data set segmentation, transformation, and feature generation
  • Clearly articulate research and development hypothesis, decisions and results
  • Take part in the process of designing, developing & improving algorithms for automated decision making around programmatic exchange optimisation
  • Take active part in designing, and driving implementation production performance monitoring frameworks and KPIs
  • Work together with ML engineers and architects to develop production grade data centric solutions
  • An entrepreneurial spirit with room and expectations to bring innovative ideas to address the problems at hand

Here’s What You Need:

  • Bachelors or Masters in Mathematics, Computer Science, Engineering, or equivalent
  • 3+ years of experience in data science or machine learning environments that requires the combined application of statistical & technical skills
  • Experience in data science practices in operational environments and internet scale, i.e – this is an applied position, rather than a solely research focused one
  • Strong statistical and research skills with a track record of using a variety of statistical methods (especially classification/prediction and time series models)
  • Proven ability to demonstrate and articulate complex results to wide technological audience
  • Demonstrated history of enabling advanced data modeling based guidance for technology development
  • Experience in cross functional team cooperation to drive pragmatic technological solutions
  • Expert in pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred)
  • Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus)
  • Familiarity with digital marketing, advertising or analytics is a plus
  • Work experience in complex system engineering environments is a plus

Why You’ll Love Working Here:

  • Comprehensive health, dental, and vision plans for you and your dependents
  • Paid time off, health days, and personal obligation days plus flexible work schedules
  • Competitive retirement matching plans
  • Equity packages
  • Generous parental leave available to birthing, non-birthing, and adoptive parents
  • Annual well-being allowance plus fitness discounts and group wellness activities
  • Commuter benefits and discounts, where available
  • Employee assistance program
  • Mental health first aid program that provides an in-the-moment point of contact and reassurance
  • One day of volunteer time off per year and a donation-matching program
  • Bi-weekly town halls and regular community-led team events
  • Multiple resources and programming to support continuous learning
  • A workplace that supports a diverse, equitable, and inclusive environment – learn more here

Notification

Index Exchange is aware that there have been recent scams directed toward candidates regarding job interviews and offers. Please be vigilant and do not accept interview requests, job offers, or other hiring-related documents from anyone other than our dedicated recruitment team, from the domain of @indexexchange.com. Our interview process consists of several steps, including phone screens and video interviews. We do not conduct interviews via an email questionnaire or request money at any point in the process.

We remain dedicated to resolving this matter and we appreciate your support.

Equal employment opportunity

At Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification—diversity is the human experience. For those who show grit, passion, and humility—Index will welcome you.

Accessibility for applicants with disabilities

Index Exchange welcomes and encourages individuals with disabilities to apply to work with us. If you require an accommodation, please share the details of your request and any information on how we can assist you with the hiring recruiter when they contact you. Index Exchange will make reasonable efforts to ensure accommodation requests are met throughout the recruitment process.

Index Everywhere, Index Anywhere

Our corporate headquarters are in Toronto, with major offices in New York, Montreal, Kitchener, London, San Francisco, and many other global cities. As a major global advertising exchange, we are committed to operating as a tightly knit global team and embracing and empowering talent wherever our colleagues may be.

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Senior Data Scientist employer: Index Exchange

At Index Exchange, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Senior Data Scientist, you'll enjoy comprehensive health benefits, flexible work schedules, and ample opportunities for professional growth within our collaborative culture. Join us in shaping the future of ad tech while being part of a diverse team that values your unique contributions and supports your career development.
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Contact Detail:

Index Exchange Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist

✨Tip Number 1

Familiarize yourself with the ad tech landscape and Index Exchange's role within it. Understanding the unique challenges and opportunities in programmatic advertising will help you articulate how your skills can contribute to their mission.

✨Tip Number 2

Showcase your experience with large-scale data science projects. Be prepared to discuss specific examples where you've applied statistical methods and machine learning techniques to solve real-world problems, especially in operational environments.

✨Tip Number 3

Highlight your collaborative skills. Index values teamwork, so be ready to share instances where you've successfully worked with cross-functional teams to drive technological solutions and improve processes.

✨Tip Number 4

Demonstrate your passion for innovation. Index is looking for candidates who can bring fresh ideas to the table, so think about how you can leverage your entrepreneurial spirit to address the challenges they face in the ad tech space.

We think you need these skills to ace Senior Data Scientist

Applied Data Science
Machine Learning
Statistical Analysis
Data Modeling
Python Programming
Pandas
Numpy
SciKit
Algorithm Development
Feature Engineering
Data Segmentation
Cross-Functional Team Collaboration
Performance Monitoring Frameworks
Digital Marketing Knowledge
Complex System Engineering

Some tips for your application 🫡

Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Senior Data Scientist position. Tailor your application to highlight how your experience aligns with their needs.

Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in data science and machine learning, particularly in operational environments. Use specific examples that demonstrate your ability to handle large datasets and develop data-centric solutions.

Showcase Technical Skills: Make sure to clearly list your technical skills, especially in Python and relevant libraries like pandas, numpy, and SciKit. If you have experience with Scala or digital marketing analytics, mention those as well.

Articulate Your Impact: When describing your past projects, focus on the impact of your work. Explain how your contributions led to improvements in efficiency or decision-making processes, and be prepared to discuss these results in detail during interviews.

How to prepare for a job interview at Index Exchange

✨Understand the Business Vision

Before your interview, take the time to learn about Index Exchange's business model and market opportunities. Being able to discuss how your data science expertise can align with their goals will demonstrate your understanding of the company's vision.

✨Showcase Your Technical Skills

Be prepared to discuss your experience with statistical methods, particularly in classification, prediction, and time series models. Highlight specific projects where you applied these skills at scale, as this role requires a strong technical foundation.

✨Prepare for Collaborative Discussions

Since the role involves working closely with ML engineers and architects, be ready to discuss your experience in cross-functional teams. Share examples of how you've collaborated on data-centric solutions and contributed to team success.

✨Articulate Complex Results Clearly

Practice explaining complex data science concepts and results in a way that is accessible to a wide audience. This skill is crucial for effectively communicating your findings and recommendations during the interview.

Senior Data Scientist
Index Exchange
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  • Senior Data Scientist

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-03-27

  • I

    Index Exchange

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