At a Glance
- Tasks: Transform data into impactful business insights and collaborate on innovative projects.
- Company: Join a forward-thinking company that values inclusivity and diversity.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Supportive workplace committed to your career development and inclusivity.
- Why this job: Make a real difference by leveraging your data skills in a dynamic environment.
- Qualifications: Proficient in Python with strong data analysis and communication 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.
- Interface with stakeholders to understand business goals and existing data infrastructure.
Qualifications:
- Proficiency in Python and familiarity with data dashboard creation.
- Strong understanding of statistical concepts and data analysis techniques.
- Excellent communication and active listening skills.
- Proven leadership in data science initiatives.
Join us in transforming data into impactful business insights! If you’re ready to leverage your expertise and make a difference, apply now!
Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.
By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Business & Marketing Data Scientist in City of London 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 in City of London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Adecco before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Adecco.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Adecco.
We think you need these skills to ace Business & Marketing Data Scientist in City of London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Adecco, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Adecco, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Adecco’s attention and show the tangible impact of your work.
How to prepare for a job interview at Adecco
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Adecco.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Adecco.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Adecco.
