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- Tasks: Join us as a Data Scientist to analyse data and drive product improvements.
- Company: We're a dynamic company focused on innovative product outcomes in tech.
- Benefits: Enjoy flexible remote work options and a collaborative team environment.
- Why this job: Make an impact by extracting insights and presenting them to leadership.
- Qualifications: Proficiency in SQL, Python, and data visualisation is essential.
- Other info: This is a contract role for 7-8 months, ideal for those seeking hands-on experience.
The predicted salary is between 36000 - 60000 £ per year.
Contract Role - Data Scientist - London/Remote - 8 Months Initial - Inside IR35 PAYE
We are seeking a skilled Data Scientist who has more of a Product Analytics background, working in partnership with product and engineering teams to deliver product outcomes rather than someone who has spent a lot of time building ML models.
Role Overview:
- Define and Establish Metrics
- Support Experimentation and Opportunity Sizing
- Develop Roadmap
- Identify and Address Performance Gaps
- Collaborate on Executive Data Presentations
- Extract Insights and Present to Director
Ideal Candidate Profile:
- Proficient in hands-on data analysis with the ability to write complex queries.
- Experienced in data visualization and storytelling to convey insights effectively to stakeholders.
- Skilled in collaborating with cross-functional teams to drive product improvements.
Required Qualifications:
- Performing quantitative analysis including data mining on highly complex data sets.
- Data querying language: SQL
- Scripting language: Python
- Statistical or mathematical software including one of the following: R, SAS, or Matlab
- Applied statistics or experimentation, such as A/B testing, in an industry setting
- Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
- Good education background
Top 3 must-have HARD skills:
- SQL
- Experimentations for user facing products
- Narrative excellence
- Worked cross functionally, influencing skills
Good to have skills:
- Python / R
Please feel free to contact myself - Daisy Nguyen at Gibbs Consulting for a confidential chat to know more details about the role.
Please also note: Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.
Data Scientist employer: Gibbs Hybrid
Contact Detail:
Gibbs Hybrid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific metrics and KPIs relevant to product analytics. Understanding how these metrics drive product decisions will help you demonstrate your value during discussions with the hiring team.
✨Tip Number 2
Brush up on your SQL skills, as this is a must-have for the role. Consider working on sample projects or datasets that require complex queries to showcase your proficiency in data extraction and manipulation.
✨Tip Number 3
Prepare examples of past collaborations with cross-functional teams. Be ready to discuss how you influenced product improvements through data insights, as this will highlight your ability to work effectively in a team environment.
✨Tip Number 4
Practice your storytelling skills when it comes to data visualisation. Being able to convey insights clearly and compellingly will set you apart, so consider creating a portfolio of visualisations that tell a story about your findings.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product analytics and collaboration with product and engineering teams. Emphasise your proficiency in SQL and any relevant projects that showcase your data analysis skills.
Craft a Compelling Cover Letter: In your cover letter, explain why you are a great fit for the Data Scientist role. Mention specific examples of how you've used data visualisation and storytelling to convey insights effectively to stakeholders.
Showcase Relevant Projects: If you have worked on projects involving A/B testing or other quantitative analysis techniques, be sure to include these in your application. Highlight your ability to extract insights and present them clearly.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A well-presented application reflects your attention to detail, which is crucial for a Data Scientist role.
How to prepare for a job interview at Gibbs Hybrid
✨Showcase Your Product Analytics Experience
Make sure to highlight your background in product analytics during the interview. Discuss specific projects where you collaborated with product and engineering teams to deliver outcomes, as this aligns closely with what the company is looking for.
✨Demonstrate Your Data Storytelling Skills
Prepare to present a few examples of how you've effectively communicated insights through data visualisation. Use storytelling techniques to convey complex information simply, as this will be crucial for engaging stakeholders.
✨Be Ready to Discuss Experimentation
Since experimentation is a key part of the role, come prepared to discuss your experience with A/B testing or other quantitative analysis techniques. Be specific about the methodologies you used and the outcomes achieved.
✨Familiarise Yourself with SQL and Python
Brush up on your SQL and Python skills before the interview. Be ready to answer technical questions or even solve problems on the spot, as proficiency in these languages is essential for the role.
