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For Companies At a Glance
- Tasks: Lead data science projects, focusing on predictive modelling and analytics solutions.
- Company: Join one of London's top tech brands, known for innovation and growth.
- Benefits: Enjoy a competitive salary, hybrid work options, and performance bonuses.
- Why this job: Make a real impact by shaping business strategy with your data insights.
- Qualifications: Extensive data science experience, strong analytical skills, and proficiency in Python, R, SQL.
- Other info: Be part of a dynamic team of around 40 data professionals in a thriving company.
The predicted salary is between 68000 - 76000 £ per year.
Join one of London's flagship tech brands as they continue to scale their data team with the launch of a new data science squad!
Salary: £85,000 to £95,000 + 10-30% bonus + benefits
Location: Hybrid, London HQ
Interview process: 3 stages
Reporting to: Head of Data & Analytics
Company size: ~1000 (~40 in data)
Working on:
- Predictive Modelling
- Revenue Forecasting / FinOps
- Demand Forecasting
- Churn
You'll be taking your insights and using them to shift business strategy, working closely with leaders not only in the data team but across the business!
We're looking for:
- Extensive experience in data science, with a strong background in building predictive models and analytics solutions.
- Experience working in a fast-paced or scaling-business
- Expertise in statistical analysis, machine learning, and data-driven decision-making
- Experience with modern data science tools and programming languages such as Python, R, SQL etc.
- Experience with cloud platforms and tools such as Snowflake, Big Query etc.
- Strong communication skills, with the ability to translate complex data insights into actionable business recommendations.
Senior Data Scientist employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the specific data science tools and programming languages mentioned in the job description, such as Python, R, and SQL. Having hands-on experience with these technologies will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Prepare to discuss your previous projects that involved predictive modelling and analytics solutions. Be ready to explain your thought process, the challenges you faced, and how your insights influenced business strategies. This will showcase your practical experience and problem-solving skills.
✨Tip Number 3
Brush up on your communication skills, especially in translating complex data insights into actionable recommendations. Consider practising with a friend or mentor, as being able to convey your findings clearly is crucial for collaborating with leaders across the business.
✨Tip Number 4
Research the company’s recent projects and initiatives related to data science. Understanding their current focus areas will help you tailor your discussions during the interview and show your genuine interest in contributing to their goals.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in data science, particularly in building predictive models and analytics solutions. Use specific examples that demonstrate your expertise in statistical analysis and machine learning.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, especially your experience in fast-paced environments and your proficiency with tools like Python, R, and SQL.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects or case studies where you successfully applied data-driven decision-making. Highlight any experience with cloud platforms like Snowflake or Big Query.
Prepare for Interviews: Anticipate questions related to your technical skills and your ability to communicate complex data insights. Be ready to discuss how you've influenced business strategy through your data analysis in previous roles.
How to prepare for a job interview at Cognify Search
✨Showcase Your Technical Skills
Be prepared to discuss your experience with predictive modelling and analytics solutions. Highlight specific projects where you've successfully implemented machine learning techniques or statistical analysis, and be ready to explain the tools and programming languages you used, such as Python or R.
✨Demonstrate Business Acumen
Since this role involves shifting business strategy based on data insights, it's crucial to show that you understand how data impacts business decisions. Prepare examples of how your data-driven recommendations have influenced strategy in previous roles.
✨Communicate Clearly
Strong communication skills are essential for this position. Practice explaining complex data concepts in simple terms, as you'll need to convey your findings to non-technical stakeholders. Consider using visual aids or examples to illustrate your points during the interview.
✨Familiarise Yourself with the Company
Research the company’s current projects and challenges, especially in the data space. Understanding their business model and how they leverage data will help you tailor your responses and demonstrate your genuine interest in the role and the organisation.
