At a Glance
- Tasks: Lead exciting research projects and manage client relationships while guiding a dynamic team.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Be part of a vibrant team with a focus on AI and machine learning in research.
- Why this job: Make a real impact by delivering high-quality insights and shaping client strategies.
- Qualifications: Experience in quantitative research and strong analytical skills are essential.
The predicted salary is between 45000 - 55000 £ per year.
Responsibilities
- Lead and deliver high-quality research projects for clients
- Manage client relationships as the main point of contact for projects
- Oversee project teams, ensuring timely delivery within budget
- Manage project finances to ensure profitability
- Review and ensure the quality of project materials and deliverables
- Contribute to business development opportunities by identifying new clients and developing existing accounts
- Guide and manage junior team members
Requirements
- Experience managing quantitative tracking studies from set-up through to reporting
- Strong understanding of quantitative research methodologies and tracker design
- Experience designing surveys and questionnaires for ongoing trackers
- Ability to analyse trend data and turn findings into clear insights
- Confident presenting results and recommendations to clients and stakeholders
- Proficiency in Excel, PowerPoint
- Excellent attention to detail and commitment to high-quality delivery
- Excellent communication skills, both written and verbal
- Strong organisational and time management skills, being a quick learner and detail-oriented
- Strong numeracy skills and attention to detail
- Financial awareness: experience in proactively managing finances on projects and ensuring project profitability
- Proficient in data analysis software (e.g., SPSS, Q, R)
- Knowledge of core AI and machine learning concepts in research, such as predictive modelling and sentiment analysis
- Ability to evaluate and implement AI solutions effectively
StudySmarter Expert Advice🤫
We think this is how you could land Research Manager – CX in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jobtailor!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research Manager – CX at Jobtailor.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jobtailor.
✨Apply Directly through Our Website
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We think you need these skills to ace Research Manager – CX in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jobtailor, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jobtailor. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jobtailor
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jobtailor!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
