Senior Data Scientist

Senior Data Scientist

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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Innovid

At a Glance

  • Tasks: Lead high-impact data projects, using SQL and Python to derive insights.
  • Company: Join Innovid, a top ad tech platform revolutionising advertising with innovation and independence.
  • Benefits: Enjoy 35 days holiday, private medical insurance, unlimited snacks, and a hybrid work model.
  • Why this job: Be at the forefront of data science, shaping the future of media decisions with a dynamic team.
  • Qualifications: 5+ years experience in data science, with a strong background in statistics and machine learning.
  • Other info: We value diverse backgrounds and encourage all to apply, fostering an inclusive workplace.

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

Innovid is the leading independent omnichannel ad tech platform, empowering marketers to create, deliver, measure, and optimize ad-supported experiences that people love. In 2025, Innovid and Flashtalking merged to create a transparent, scalable alternative to big-tech, walled-gardens, and point solutions across CTV, digital, linear, and social channels. As part of Mediaocean, Innovid is tied into the industry’s core ad infrastructure for omnichannel planning, buying, and billing.

We are proud to lead the industry with our innovation, intelligence, and independence as the company best-suited to power the future of advertising.

About the role

We’re building something big. The Optimize team is a new, fast-moving group within Innovid, focused on transforming how our clients make media and business decisions—through smarter data and machine learning.

We\’re looking for a Senior Data Scientist who\’s excited to go beyond the typical playbook. In this role, you\’ll be at the heart of innovation—working hands-on across multiple high-impact projects and clients. You\’ll partner with a talented crew of engineers, analysts, and product managers to prototype cutting-edge models, build scalable solutions, and turn ideas into reality.

You are likely to have at least 5+ years working experience, a relevant degree, with the practical tools and techniques for manipulating and exploring vast quantities of data, with the objective of finding and delivering new and valuable insights.

The role has been designed with room for growth where you can choose to have a different focus whether that be in product research, development, or client-facing projects. We’re looking for future leaders—people who want to shape the direction of our products and the growth of our data team. Line management in addition to project leadership responsibilities is part of the expected progression of the role and would be dependent on a candidate’s experience and career goals.

Innovid provides a hybrid working experience with an office in Edinburgh. Remote workers will be considered, though being based in Edinburgh would be beneficial.

Responsibilities:

  • Completing high impact projects from beginning to end, working autonomously with minimum supervision but high accountability. Scope & stage work into well-defined milestones; make accurate timeline estimates and deliver to those estimates
  • Use SQL and/or Python (Jupyter notebooks) to prepare data, perform exploratory data analysis, evaluate different modeling approaches, tell a story through effective visualizations, and make recommendations to generate valuable solutions that meet our clients’ needs, often in combination with rich third-party datasets. Note: we will also consider candidates who are proficient in R.
  • Work within the common tech stack which includes (though may not be limited to) AWS, Snowflake, DBT, Jupyter notebooks, Spark, Mongo, and Postgres among others. Documentation and task tracking typically live in JIRA/Confluence.
  • Proactively engage in problem solving, fault finding, addressing issues in the data or approaches as they arise.
  • Communication (visual, verbal, and written) of findings to a variety of audiences including colleagues and clients, both technical and non-technical.
  • Mentor junior members of the team.
  • Proactively identifies and proposes strategies around team process improvements

Essential Skills and Experience:

  • Post-graduate degree or advanced training in statistics, mathematics, computer science, or other highly quantitative field and minimum of 5+ years’ work experience (postdoctoral research incl).
  • Knowledge of advanced statistical and analytical techniques and concepts such as sampling methods, regression, properties of distributions, weighting sample-based data, statistical tests and proper usage, etc. and experience with real-world applications.
  • NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries.
  • Working knowledge of data structures, databases, and ETL processes.
  • Demonstrable history of devising and overseeing data-centered projects.
  • Must be proactive, self-motivated, and detail oriented.
  • Analytical and problem-solving skills shown through probing and asking relevant questions.
  • Able to learn quickly and juggle multiple projects with moving deadlines.
  • Strong written and verbal communication skills. Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
  • Knowledge of AWS environments and services would be beneficial.
  • Experience in either media/digital marketing or a consultancy with a marketing science environment would be highly valued.

What we will offer you:

  • 35 days holiday (including public holidays)
  • Pension plan
  • Employee Assistance Programme
  • Life insurance
  • Cycle to Work Scheme
  • Private medical insurance with Vitality
  • Training & Development sessions with our in-house L&D Platform
  • Unlimited office snacks
  • RSU\’s (Restricted Stock Units) plan
  • Offices in major cities around the world and a cross-company collaboration unlike anywhere else.

There is no such thing as the perfect resume, or someone that checks every box. At Innovid, we are generous with our time and knowledge, and always ready to teach. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day and add to Innovid.

Equal Opportunity Employer: Innovid is an equal opportunity employer, committed to our diversity and inclusiveness. We consider all qualified applicants regardless of race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply. We are actively working to be an anti-racist organization. We\’re committing to creating an inclusive and equitable workplace for all of our employees. You can read more about our commitment to DEI here .

If you are located within the EEA and subject to GDPR or are a California resident subject to the California Consumer Privacy Act,click here to understand how Innovid processes your personal information and how you can exercise your rights.

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Senior Data Scientist employer: Innovid

At Innovid, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, our Senior Data Scientist role provides opportunities to lead high-impact projects while enjoying generous benefits such as 35 days of holiday, private medical insurance, and continuous training through our in-house L&D platform. Located in the vibrant city of Edinburgh, we encourage a hybrid working model that supports work-life balance and inclusivity, making Innovid a truly rewarding place to advance your career.
Innovid

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Innovid Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist

✨Tip Number 1

Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, AWS, and Snowflake. Having hands-on experience or projects that showcase your skills with these technologies can set you apart from other candidates.

✨Tip Number 2

Engage with Innovid's content online, such as their blog or social media channels. This will not only give you insights into their company culture and values but also help you tailor your conversations during interviews to align with their mission and recent projects.

✨Tip Number 3

Network with current or former employees of Innovid on platforms like LinkedIn. They can provide valuable insights about the company and the team dynamics, which can help you prepare for interviews and understand what they value in a candidate.

✨Tip Number 4

Prepare to discuss your previous projects in detail, especially those that involved data analysis and machine learning. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this demonstrates your problem-solving skills and technical expertise.

We think you need these skills to ace Senior Data Scientist

Advanced Statistical Techniques
Machine Learning Algorithms
Data Manipulation with SQL and Python
Exploratory Data Analysis
Data Visualisation
Proficiency in NumPy, SciPy, Pandas, and scikit-learn
Experience with AWS and ETL Processes
Strong Analytical Skills
Problem-Solving Skills
Effective Communication Skills (Visual, Verbal, Written)
Project Management
Mentoring and Team Leadership
Knowledge of Media/Digital Marketing
Ability to Work Autonomously
Detail-Oriented

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Scientist role at Innovid. Focus on your expertise in SQL, Python, and any machine learning projects you've worked on.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background fits with Innovid's mission. Mention specific projects or experiences that demonstrate your ability to work autonomously and lead high-impact projects.

Showcase Your Technical Skills: In your application, emphasise your proficiency with tools like Jupyter notebooks, AWS, and data libraries such as NumPy and Pandas. Provide examples of how you've used these tools to solve complex problems.

Highlight Communication Skills: Since the role involves communicating findings to both technical and non-technical audiences, include examples of how you've effectively communicated complex data insights in previous roles. This could be through presentations, reports, or mentoring.

How to prepare for a job interview at Innovid

✨Showcase Your Technical Skills

Be prepared to discuss your experience with SQL, Python, and any relevant libraries like NumPy or scikit-learn. Bring examples of past projects where you used these tools to solve complex problems, as this will demonstrate your hands-on expertise.

✨Communicate Clearly

Since the role involves communicating findings to both technical and non-technical audiences, practice explaining your work in simple terms. Use visual aids if possible to illustrate your points during the interview.

✨Demonstrate Problem-Solving Abilities

Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your analytical skills and your ability to think critically under pressure.

✨Express Your Passion for Innovation

Innovid is looking for candidates who are excited about transforming media and business decisions through data. Share your thoughts on current trends in data science and how you envision contributing to innovative projects within the company.

Senior Data Scientist
Innovid
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