At a Glance
- Tasks: Join our team to deliver impactful data science solutions and collaborate on exciting projects.
- Company: Innovid, a leading company in research and analytics with a vibrant culture.
- Benefits: Enjoy 35 days holiday, private medical insurance, and a hybrid working model.
- Other info: Dynamic environment with excellent training opportunities and a focus on work-life balance.
- Why this job: Work with one of the largest datasets and make a real difference in advertising effectiveness.
- Qualifications: Degree in a data-related field and 2 years of data science experience required.
The predicted salary is between 40000 - 50000 £ per year.
We’re looking for a Data Scientist to join Innovid’s Research, Analytics & Data Team. Working alongside our data science leads, data scientists, analysts and engineers you’ll contribute to data-driven projects across the business. With access to one of the largest & richest datasets in the industry, you will have the opportunity to deliver data science solutions with impact in areas such as the effectiveness of advertising and the optimisation of dynamic creatives.
We need someone who can work across the data science process, from requirements gathering and idea generation, through data wrangling, exploratory analysis, modeling and support for implementation. This person will demonstrate a growth mindset and have the opportunity to develop their skills through teamwork, feedback and self-directed learning.
The Impact You'll Make:
- 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.
What You'll Bring to Us:
- 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, modeling (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 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.
Data Scientist (Edinburgh) employer: Innovid
At Innovid, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Edinburgh. Our commitment to employee growth is evident through extensive training opportunities, a supportive environment for skill development, and a generous benefits package including 35 days of holiday and private medical insurance. Join us to work with one of the largest datasets in the industry, where your contributions will have a meaningful impact on advertising effectiveness and creative optimisation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Edinburgh)
✨Tip Number 1
Network like a pro! Reach out to current employees at Innovid on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python and SQL. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data wrangling and modelling techniques. Practise explaining your thought process clearly, as communication is key when discussing complex data insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Innovid.
We think you need these skills to ace Data Scientist (Edinburgh)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data wrangling, exploratory analysis, and modelling. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your problem-solving skills and use of tools like Python and SQL. We love seeing real-world applications of your work!
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about data science and how you can contribute to our team. Be sure to mention your growth mindset and eagerness to learn from others.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Don’t miss out on this opportunity!
How to prepare for a job interview at Innovid
✨Know Your Data Science Process
Make sure you can clearly articulate your experience across the entire data science process. Be ready to discuss how you've gathered requirements, performed data wrangling, and conducted exploratory analysis. This will show that you understand the role and can contribute effectively from day one.
✨Showcase Your Technical Skills
Brush up on your SQL and Python skills, especially with libraries like NumPy, Pandas, and scikit-learn. Prepare to demonstrate your ability to manipulate data and build models during the interview. You might even be asked to solve a problem on the spot, so practice coding challenges beforehand!
✨Communicate Effectively
Since you'll need to present findings to both technical and non-technical audiences, practice explaining complex concepts in simple terms. Think about how you can build narratives around your data visualisations that highlight business impact. This will set you apart as a candidate who can bridge the gap between data and decision-making.
✨Embrace the Growth Mindset
Demonstrate your willingness to learn and adapt. Share examples of how you've sought feedback and improved your skills in previous roles. Companies love candidates who are proactive about their development, so be prepared to discuss how you plan to grow within the team.
