Data Scientist
Innovid
- Edinburgh, Scotland, United Kingdom
- Edinburgh, Scotland, United Kingdom
Über
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 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
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. #J-18808-Ljbffr
Sprachkenntnisse
- English
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