Data Scientist (UK)

Data Scientist (UK) Edinburgh, Scotland

Innovid
Full Time Edinburgh, Scotland 35170 - 62170 GBP ANNUAL Today
Job description

Innovid (NYSE:CTV) powers advertising delivery, personalization, measurement and outcomes across linear, CTV and digital for the world's largest brands. Through a global infrastructure that enables cross-platform ad serving, data-driven creative, and currency-grade measurement, Innovid offers its clients always-on intelligence to optimize advertising investment across channels, platforms, screens, and devices. Innovid is an independent platform that leads the market in converged TV innovation, through proprietary technology and exclusive partnerships designed to reimagine TV advertising. Headquartered in New York City, Innovid serves a global client base through offices across the Americas, Europe, and Asia Pacific. To learn more, visit innovid.com or follow us on LinkedIn or Twitter.
The Impact You'll Make:
  • Collaborate in high-impact projects from beginning to end, working with autonomy and 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
What You'll Bring to Us:
  • Degree or advanced training in statistics, mathematics, computer science, or other highly quantitative field
  • 2-4 years of work experience related to the field
  • Software development experience with Python.
  • 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 (SQL - an advantage), and ETL processes.
  • Demonstrable history of devising and overseeing data-centered projects.
  • Proactive attitude, self-motivated, and detail oriented person
  • 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.
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
  • Hybrid working model & good work-life balance
  • RSU's (Restricted Stock Units) plan
  • Offices in major cities around the world and a cross-company collaboration unlike anywhere else.

#LI-EM1
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.

Data Scientist (UK)
Innovid

www.innovid.com
New York, United States
Zvika Netter
$100 to $500 million (USD)
501 to 1000 Employees
Company - Public
Internet & Web Services
2007
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