At a Glance
- Tasks: Analyse data to drive business decisions and improve product excellence.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and continuous improvement.
- Why this job: Make an impact by transforming data into actionable insights for real-world applications.
- Qualifications: Experience with SQL, R, or Python and strong analytical skills.
The predicted salary is between 54.81 - 54.81 £ per hour.
Location: Hybrid (Tues-Thurs in office, Mon Fri remote)
Remuneration: £54.81 per hour
Contract Details: ASAP until 4th Dec 2026
Responsibilities:
- Formulate and interpret data to reach specific conclusions as a key project contributor.
- Scale existing solutions and create repeatable best practices, tutorials, and documentation.
- Write and review solution code, ensuring integration with production code alongside developers and partners.
- Develop roadmaps and methodologies to address data-related questions, defining requirements and anticipating challenges.
- Implement recommended changes through collaboration with teams, driving ongoing analysis for product excellence.
- Gather, extract, and compile data across sources using SQL, R, or Python, ensuring quality and privacy.
- Help teams prioritise tasks using data, driving identification of Objectives and Key Results (OKRs).
- Collaborate with stakeholders to refine complex business questions into analysable metrics and models.
- Assess gaps in products based on user feedback and metrics analysis, contributing technical solutions.
- Review and provide feedback on analyses conducted by others, addressing analytical challenges.
- Develop metrics to track solution implementation, creating dashboards and tools to automate processes.
Business & Marketing Data Scientist employer: Adecco
Adecco is an excellent employer, offering a supportive work culture that values flexibility and work-life balance, particularly for the Seasonal DBS Cleaner role in Chelmsford. Employees benefit from a competitive pension scheme and various incentives, alongside opportunities for personal growth and development within a dynamic team environment, making it a rewarding place to contribute to the cleanliness of educational settings.
StudySmarter Expert Advice🤫
We think this is how you could land Business & Marketing Data Scientist
✨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 Adecco!
✨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 Business & Marketing Data Scientist at Adecco.
✨Leverage Professional Networks
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 Adecco.
✨Apply Directly through Our Website
When you find a suitable opening like Business & Marketing Data Scientist at Adecco, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Business & Marketing Data Scientist
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 Adecco, 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 Adecco. 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 Adecco
✨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 Adecco!
✨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.
