At a Glance
- Tasks: Join a dynamic team to analyse data and drive impactful advertising solutions.
- Company: Innovid, a leader in advertising analytics with a collaborative culture.
- Benefits: 35 days holiday, private medical insurance, and unlimited office snacks.
- Other info: Enjoy hybrid working and excellent career development opportunities.
- Why this job: Make a real impact using one of the largest datasets in the industry.
- Qualifications: Degree in a data-related field and 2 years of data science experience.
The predicted salary is between 50000 - 70000 £ 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: Advertising Analytics & Growth Impact in Edinburgh employer: Innovid
At Innovid, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Data Scientist in our Research, Analytics & Data Team, you'll have access to one of the industry's largest datasets, enabling you to make impactful contributions while enjoying a generous benefits package, including 35 days of holiday, private medical insurance, and extensive training opportunities. Our hybrid working model promotes a healthy work-life balance, making Innovid a rewarding place for professionals eager to grow and excel in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist: Advertising Analytics & Growth Impact in Edinburgh
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Innovid!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist: Advertising Analytics & Growth Impact at Innovid.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Innovid.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist: Advertising Analytics & Growth Impact at Innovid, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist: Advertising Analytics & Growth Impact in Edinburgh
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Innovid, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Innovid. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Innovid
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Innovid!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
