We're looking for a Data Scientist who's excited to go beyond the typical playbook to join the team at Innovid. In this role, you'll be at the heart of innovation—working hands-on across multiple high-impact projects and clients.

You'll work alongside data scientists, analysts, engineers, and product managers to build and scale data-driven solutions that directly impact how clients make media investment decisions. This includes modelling the real-time value of ad impressions, building the in-house identity spine, and contributing to the development of our cloud-based data platform. You'll be joining a high-calibre team with deep experience across data science, engineering, and product. It’s a great environment to sharpen your skills, learn from senior peers, and grow quickly through hands-on experience, mentorship, and impactful work.

With access to a massive and growing dataset, you'll help shape products like competitive intelligence feeds and prediction services that integrate seamlessly into client workflows. We're after someone who can work across the entire data science lifecycle—from digging into business problems and wrangling messy data to building and evaluating models and supporting deployment into production.

We value curiosity, experimentation, and a growth mindset. If you're excited about using data science to solve tough, meaningful problems—and want to be part of a team that's just getting started—this is your spot.

Responsibilities:

• Collaborate on high-impact projects from beginning to end, working with autonomy and accountability
• Support team leads and senior colleagues to 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
• You’ll proactively engage in problem-solving, fault-finding, addressing issues in the data or approaches as they arise
• Build narratives through effective visualization and make solution recommendations that that meet our clients’ needs
• Work within the common tech stack which includes Jupyter notebooks, Snowflake, and AWS
• You’ll keep track of projects, tasks and documentation using the Atlassian suite, JIRA/Confluence.
• You’ll communicate findings, with a focus on business impact, to a variety of audiences both technical and non-technical

Essential Skills and Experience:

• Highly numerate and educated to degree or postgraduate (MSc) in a data related field
• Minimum 2 years experience working as a data scientist - experience across a number of areas in the data science process: defining problems (and criteria for success), data wrangling, EDA, modelling (including but not limited to ML), interpreting results, and providing relevant insights
• 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.
• Experience in Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries
• Working knowledge of SQL, data structures and databases (Snowflake - desirable)
• Strong written and verbal communication skills
• Knowledge of AWS environments and services would be beneficial

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
• Training & Development sessions with our in-house L&D Platform
• Unlimited office snacks
• Hybrid working model & good work-life balance
• Offices in major cities around the world and a cross-company collaboration unlike anywhere else