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- Tasks: Lead high-impact data science projects using SQL and Python to optimise advertising effectiveness.
- Company: Join a global, data-driven company at the forefront of technology innovation.
- Benefits: Enjoy a competitive salary, great benefits, and valuable annual leave from day one.
- Why this job: Be part of a humble team creating revolutionary technology in the converged TV sector.
- Qualifications: Experience in data science, problem-solving, and advanced statistical techniques is essential.
- Other info: Opportunity to make a real impact in a dynamic and evolving industry.
The predicted salary is between 28800 - 48000 £ per year.
This is a new position for a Data Scientist with a global, data-driven company with cutting-edge technology who leverage data to serve as a true market differentiator. The focus of this role is to deliver data science solutions which impact areas such as the effectiveness of advertising and the optimisation of dynamic creatives.
The individual in this role will be asked to:
- Take the lead on the life cycle, high-impact projects
- Scope and stage projects to include detailed milestones and delivery schedules
- Use SQL and/or Python (Jupyter Notebooks) to prepare data, perform exploratory data analysis, evaluate different modeling approaches
- Engage in problem-solving, fault-finding, addressing issues in the data or approaches as they arise
- Investigate the data and make recommendations on solutions to client’s requirements
And should have experience of:
- Working in a Data Scientist role in a high value commercial environment
- Requirements gathering and idea generation
- Defining problems (and criteria for success)
- Data wrangling, EDA, modeling and interpreting results
- Providing relevant insights
- Advanced statistical and analytical techniques and concepts: sampling methods, regression, properties of distributions, weighting sample-based data, statistical tests proper usage, real-world applications
- 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)
This is a pragmatic and humble organisation who are looking for like-minded people to help them deliver their revolutionary technology. In return for sharing your talent and dedication, they offer a competitive salary, great benefits and annual leave together with a position of value within the organisation from day one, and the chance to have a key role in creating a product which will play a defining role in the continuously evolving converged TV sector.
Data Scientist (Glasgow) employer: Okta Resourcing
Contact Detail:
Okta Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Glasgow)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL and Python libraries like NumPy and Pandas. Being able to demonstrate your proficiency in these areas during interviews can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your previous experience in data science roles, particularly focusing on high-value commercial environments. Be ready to share specific examples of projects you've led, including the challenges faced and how you overcame them.
✨Tip Number 3
Engage with the company’s online presence and any recent news or developments related to their technology. This will not only help you understand their market position but also provide you with valuable talking points during interviews.
✨Tip Number 4
Network with current or former employees of the company through platforms like LinkedIn. Gaining insights into the company culture and expectations can give you an edge in tailoring your approach during the application process.
We think you need these skills to ace Data Scientist (Glasgow)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in high-value commercial environments. Emphasise your skills in SQL and Python, as well as any specific projects that demonstrate your ability to deliver impactful data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your experience with data wrangling, exploratory data analysis, and statistical techniques. Be sure to mention your problem-solving skills and how you can contribute to their innovative projects.
Showcase Relevant Projects: If you have worked on specific projects that involved data analysis, modelling, or using libraries like NumPy or scikit-learn, include these in your application. Briefly describe the challenges you faced, the solutions you implemented, and the outcomes achieved to demonstrate your practical experience.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any grammatical errors, typos, or inconsistencies. A polished application reflects your attention to detail and professionalism, which are crucial in a data-driven role.
How to prepare for a job interview at Okta Resourcing
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring examples of past projects where you used these tools for data preparation, exploratory data analysis, or modelling. This will demonstrate your hands-on expertise and problem-solving abilities.
✨Understand the Company’s Data Needs
Research the company’s focus on advertising effectiveness and dynamic creatives. Be ready to discuss how your skills can directly impact their goals. Tailoring your answers to align with their objectives will show that you’re genuinely interested in the role.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical thinking and fault-finding skills. Practice articulating your thought process when tackling data-related issues, as this will highlight your ability to navigate challenges effectively.
✨Demonstrate Your Collaborative Spirit
Since the organisation values humility and teamwork, be sure to share examples of how you've successfully collaborated with others in previous roles. Highlighting your ability to work well in a team will resonate with their company culture.
