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For Companies At a Glance
- Tasks: Lead market research projects, analyze data, and develop predictive models.
- Company: Join a growing research company focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, flexible work arrangements, and a vibrant office culture.
- Why this job: Make a real impact in market research while collaborating with diverse teams.
- Qualifications: Experience in data science, market research, and proficiency in machine learning techniques.
- Other info: Work 4 days a week in the London office for a balanced lifestyle.
The predicted salary is between 39000 - 91000 £ per year.
Job Description
MARKET RESEARCH DATA SCIENTIST
£50,000 – £60,000
LONDON – 4 DAYS A WEEK
*Please note, you must be a UK resident to apply with full right to work in the UK*
THE COMPANY
This company is a fast-growing research and polling firm that started as a two-person venture and has expanded to a team of 40 across the UK and US. Known for delivering the most accurate global political polling, they specialize in qualitative and quantitative research, offering deep insights into UK and US elections and political sentiment. This is a unique opportunity to join a leading team at the forefront of political research.
THE ROLE
You'll work across data science, consultancy, and market research, helping to shape the future of political and corporate insight.
Key responsibilities include predictive modelling in R, creative methodological thinking, managing a custom function library, and running advanced quantitative analyses (regression, segmentation, SRP). You'll work with messy primary survey and census data, build election models, and consult directly with high-profile clients such as the UK Government, political parties, think tanks, and hedge funds.
Ideal for someone who thrives in a fast-paced, insight-driven environment and is eager to lead and mentor others as the team grows.
SKILLS + EXPERIENCE
- Interest and experience in polling, politics, corporate affairs and reputation
- Consulting/client facing experience – from a market research agency
- Data science skills specifically in R – you will not be using SQL/Python
HOW TO APPLY
If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below.
Market Research Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Research Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in market research and data science. Follow industry leaders on social media, read relevant blogs, and participate in webinars to stay updated. This knowledge will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the market research and data science sectors. Attend industry conferences, meetups, or online forums to connect with others. Building relationships can lead to valuable insights and potential referrals for job openings.
✨Tip Number 3
Showcase your experience with predictive modeling and machine learning in practical scenarios. Prepare to discuss specific projects where you've applied these techniques, as this will demonstrate your hands-on expertise and problem-solving skills.
✨Tip Number 4
Be ready to discuss how you collaborate with cross-functional teams. Highlight examples of how you've worked with market researchers or product teams to translate data insights into actionable strategies, as this is crucial for the role.
We think you need these skills to ace Market Research Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Market Research Data Scientist position. Highlight the key responsibilities and required skills, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to emphasize your experience in market research and data science. Include specific projects where you designed and executed data analysis, developed predictive models, or applied machine learning techniques.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and market research. Mention specific examples of how you've taken ownership of projects and made an impact in previous roles.
Highlight Collaboration Skills: Since the role involves collaboration with various teams, be sure to include examples in your application that demonstrate your ability to work effectively with others, especially in translating insights into actionable recommendations.
How to prepare for a job interview at Harnham
✨Show Your Curiosity
As a Market Research Data Scientist, curiosity is key. Be prepared to discuss how your inquisitive nature has driven your past projects and how it can help you uncover insights in this role.
✨Demonstrate Technical Skills
Make sure to highlight your experience with machine learning and statistical methods. Prepare examples of predictive models or advanced analytics you've developed, and be ready to explain the impact they had on previous projects.
✨Collaboration is Key
This role involves working closely with various teams. Share experiences where you successfully collaborated with market researchers or product teams, emphasizing your communication skills and ability to translate data into actionable insights.
✨Stay Updated on Trends
The field of data science is always evolving. Be ready to discuss recent trends, tools, or technologies you've learned about and how they could be applied to enhance market research strategies.
