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- Tasks: Lead high-impact data science projects and deliver innovative solutions.
- Company: Global data-driven company with cutting-edge technology.
- Benefits: Competitive salary, great benefits, and valuable position from day one.
- Why this job: Make a real impact in the evolving converged TV sector.
- Qualifications: Experience in data science, SQL, Python, and analytical techniques.
- Other info: Join a humble team focused on revolutionary technology and career growth.
The predicted salary is between 28800 - 48000 £ per year.
This is a new position for a Junior 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 such as sampling methods, regression, properties of distributions, weighting sample-based data, and proper usage of statistical tests
- 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.
Junior Data Scientist employer: Okta Resourcing
Contact Detail:
Okta Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and practical tasks. Practice explaining your thought process when solving problems, as this is key in demonstrating your analytical skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Data Scientist role. Highlight your experience with SQL, Python, and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Projects: If you've worked on any data science projects, make sure to include them in your application. Whether it's through GitHub or a portfolio, we love seeing practical examples of your work and problem-solving skills!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Okta Resourcing
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills, especially with libraries like NumPy, Pandas, and scikit-learn. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data science.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex problems in your previous roles. Think about specific challenges you faced, the steps you took to resolve them, and the outcomes. This will demonstrate your analytical thinking and ability to deliver impactful solutions.
✨Understand the Business Impact
Familiarise yourself with how data science can influence advertising effectiveness and creative optimisation. Be prepared to discuss how your work can drive business results, as this aligns with the company's focus on leveraging data as a market differentiator.
✨Engage with the Interviewers
Don't hesitate to ask questions during the interview. Inquire about the team's current projects or challenges they face. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.