At a Glance
- Tasks: Join our team to deliver impactful data science solutions using one of the largest datasets in the industry.
- Company: Innovid, a leading company in research and analytics with a collaborative culture.
- Benefits: Enjoy 35 days holiday, private medical insurance, and a hybrid working model.
- Other info: Dynamic work environment with excellent career growth and unlimited office snacks.
- Why this job: Make a real impact on advertising effectiveness while developing your skills in a supportive environment.
- Qualifications: Degree in a data-related field and 5 years of data science experience required.
The predicted salary is between 60000 - 75000 £ 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 5 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.
Senior 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. With access to one of the industry's largest datasets, our Senior Data Scientists engage in impactful projects while enjoying generous benefits such as 35 days of holiday, private medical insurance, and a strong focus on professional development through training and mentorship. Our hybrid working model ensures a healthy work-life balance, making Innovid a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (Edinburgh)
✨Tip Number 1
Network like a pro! Reach out to current employees at Innovid on LinkedIn or other platforms. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills in real-time! If you get the chance for a technical interview, be ready to demonstrate your data wrangling and modelling skills using SQL or Python. Practice with Jupyter Notebooks beforehand to feel confident.
✨Tip Number 3
Prepare to discuss your past projects! Be ready to share specific examples of how you've tackled data science challenges, especially those that had a significant impact. This shows you can deliver results, just like they need.
✨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 Senior Data Scientist (Edinburgh)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior 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 high-impact projects you've worked on. Describe your role in these projects and the outcomes. This helps us understand your problem-solving skills and how you can contribute to our team.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain why you're interested in the role and how your background makes you a great fit. We appreciate straightforward communication!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Innovid
✨Know Your Data Science Process
Make sure you can confidently discuss each stage of the data science process, from requirements gathering to implementation. Be prepared to share examples of how you've tackled similar projects in the past, especially focusing on your problem-solving skills and how you’ve used SQL and Python in real-world applications.
✨Showcase Your Technical Skills
Brush up on your knowledge of Python libraries like NumPy, Pandas, and scikit-learn, as well as your SQL skills. During the interview, be ready to demonstrate your understanding of advanced statistical techniques and how you’ve applied them in previous roles. This will show that you’re not just familiar with the tools, but that you know how to use them effectively.
✨Communicate Clearly
Since you'll be communicating 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 and make solution recommendations that align with business needs. This will highlight your ability to bridge the gap between data and decision-making.
✨Emphasise Your Growth Mindset
Demonstrate your willingness to learn and adapt by sharing examples of how you’ve sought feedback and developed your skills in the past. Discuss any self-directed learning initiatives you’ve undertaken, especially in areas relevant to the role, such as AWS or new data science methodologies. This will resonate well with their focus on teamwork and continuous improvement.
