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- Tasks: Lead data science projects, analyze data, and present insights to clients.
- Company: Join a well-established market research consultancy in London with a dynamic team.
- Benefits: Enjoy a hybrid work model and competitive salary up to £65,000.
- Why this job: Grow your expertise while making impactful decisions for clients in a collaborative environment.
- Qualifications: 3-5 years of experience in statistical analysis and excellent communication skills required.
- Other info: Opportunity to mentor junior team members and engage in company-wide initiatives.
The predicted salary is between 52000 - 78000 £ per year.
Job Description Data Science Manager – Market Research Consultancy London/Hybrid Up to £65,000 depending on experience We are looking for an inquisitive, ambitious, and dynamic individual to join the Data Science team of an established research consultancy to help them continue to develop innovative ways to deliver insight, strategy and consultancy to clients. In your role as a Data Science manager, your skills and deep understanding of Data Science and Analytics will be key in uncovering valuable insights to guide clients’ decisions. You’ll rely on your solid skills in data analysis, machine learning, and statistical modelling to lead smaller projects and contribute to larger ones. Moving beyond purely technical work, you’ll start to manage people and lead analytics initiatives. Throughout, you’ll keep growing your expertise, learning new techniques, and pushing the boundaries of what data can tell us. You will: run a range of key standard methodologies and execute them with little supervision; align client business problems into analytical solutions; lead data science projects with your manager’s supervision; conduct research to identify new opportunities for data science applications within the industry and spot new opportunities to meet client needs; develop custom scripts or tools to streamline routine tasks; present results of data …
Data Science Manager employer: Spalding Goobey
Contact Detail:
Spalding Goobey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Make sure to showcase your experience with statistical analysis and data science projects in your conversations. Highlight specific examples where you've successfully led projects or uncovered valuable insights, as this will resonate well with the hiring team.
✨Tip Number 2
Demonstrate your communication skills by practicing how you explain complex analytical concepts in simple terms. This is crucial for a Data Science Manager role, as you'll need to convey insights to both technical and non-technical stakeholders.
✨Tip Number 3
Familiarize yourself with the latest trends in data science applications within market research. Being able to discuss innovative methodologies or tools during your interview can set you apart from other candidates.
✨Tip Number 4
Show your enthusiasm for team development and mentoring junior members. Share any past experiences where you've helped others grow, as this aligns with the company's values and the collaborative nature of the role.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, machine learning, and statistical modeling. Emphasize any leadership roles you've had in projects and your ability to communicate complex concepts clearly.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the job requirements, particularly your experience with Conjoint analysis and clustering methods.
Showcase Relevant Projects: Include specific examples of past projects where you led data science initiatives or developed innovative analytical solutions. Highlight the impact these projects had on client decisions or business outcomes.
Prepare for Interviews: Be ready to discuss your technical skills in R and Python, as well as your experience with various data science methodologies. Prepare to explain how you approach problem-solving and project management in a team setting.
How to prepare for a job interview at Spalding Goobey
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistical analysis, machine learning, and data science methodologies. Highlight specific projects where you've successfully applied these skills, especially in relation to survey data and clustering methods.
✨Communicate Complex Concepts Clearly
Since excellent communication is a must, practice explaining complex analytical concepts in simple terms. Use examples from your past work to demonstrate how you can make data insights accessible to clients and colleagues alike.
✨Demonstrate Leadership Experience
As a Data Science Manager, you'll need to lead projects and mentor junior team members. Share experiences where you've taken the lead on major projects or initiatives, and discuss how you foster team development and collaboration.
✨Stay Informed and Curious
Show your interest in current affairs and social attitudes, as this aligns with the company's focus. Be ready to discuss how your curiosity drives your work in data science and how you identify new opportunities for applying data solutions.
