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- Tasks: Analyse data, develop dashboards, and provide actionable insights to influence business decisions.
- Company: Join one of the UK's fastest growing digital brands on a mission to become a global leader.
- Benefits: Enjoy competitive salary, team outings, and fully expensed overseas trips.
- Why this job: This role offers rapid career growth and the chance to work with entrepreneurial specialists.
- Qualifications: 1-3 years experience in data analysis, strong SQL skills, and proficiency in Python and data visualisation tools.
- Other info: Full-time office-based role just outside Leeds City Centre with a dynamic and ambitious team.
The predicted salary is between 34000 - 45000 £ per year.
Leeds - office based
£40,000 - £45,000 DOE + benefits
Focus 5 Recruitment are looking to recruit a Data Scientist for one of the fastest growing digital brands in the UK. This is a unique opportunity to join a super charged, hugely successful business and to work with a team of truly entrepreneurial digital & technical specialists. They’re on a real mission to be true industry leaders, redefine their space and become a global household name.
We’re seeking a Data Scientist with a sharp analytical mindset to join this company. If you have 1-3 years of experience and a passion for working with data, uncovering insights, and creating reports that influence business decisions, this role is for you. You’ll collaborate with multiple teams to analyse data, develop dashboards, and provide actionable recommendations.
Key responsibilities for the Data Scientist:- Gather, process, and analyse large datasets to uncover valuable insights.
- Develop and maintain reports, dashboards, and visualizations using tools like Tableau, Power BI, or Matplotlib.
- Perform statistical analysis and data modelling to support business strategies.
- Collaborate with stakeholders to define key metrics and enhance reporting processes.
- Automate data pipelines and reporting workflows where possible.
- Assist in predictive analytics and trend forecasting to support decision-making.
- Document findings and present them clearly to both technical and non-technical audiences.
- 1-3 years of hands-on experience in data analysis, reporting, or data science.
- Strong proficiency in SQL for data querying and manipulation.
- Experience using Python (Pandas, NumPy, Matplotlib, or similar) for data analysis.
- Expertise in data visualization tools such as Tableau, Power BI, or Seaborn.
- Solid understanding of statistics and A/B testing methodologies.
- Ability to clearly communicate insights to non-technical stakeholders.
- Keen attention to detail with strong problem-solving abilities.
- Basic understanding of machine learning concepts.
- Knowledge of business intelligence and KPI tracking methodologies.
This role won’t be for everyone but for the most ambitious and driven Data Scientists, this really is a role you must apply for. There really is untold opportunity to develop in this role and grow your career quicker than anywhere out there. This role is full time office based just outside of Leeds City Centre. They have first class office space with an ambitious and hungry team who are well rewarded with things like team nights out and even overseas, fully expensed trips. This is an exclusive role with a key client. For immediate consideration and full details, please submit an application ASAP.
Data Scientist employer: Focus 5 Recruitment
Contact Detail:
Focus 5 Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like SQL and Python libraries such as Pandas and Matplotlib. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your previous data analysis projects in detail. Be ready to explain the methodologies you used, the insights you uncovered, and how those insights influenced business decisions. This will demonstrate your analytical mindset and ability to communicate effectively.
✨Tip Number 3
Network with professionals in the data science field, especially those who work in similar roles. Engaging with them on platforms like LinkedIn can provide valuable insights into the company culture and expectations, which you can leverage during your interview.
✨Tip Number 4
Showcase your passion for data by staying updated on industry trends and advancements. Mention any relevant online courses or certifications you've completed, as this demonstrates your commitment to continuous learning and growth in the field.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data analysis, SQL, and Python. Use specific examples of projects where you've gathered and processed large datasets or created dashboards.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your analytical mindset. Mention how your skills align with the company's mission to redefine their space and become industry leaders.
Showcase Technical Skills: In your application, emphasise your proficiency in data visualisation tools like Tableau or Power BI. Include any relevant projects or experiences that demonstrate your ability to communicate insights effectively.
Highlight Collaboration Experience: Since the role involves working with multiple teams, mention any past experiences where you collaborated with stakeholders to define metrics or enhance reporting processes. This will show your ability to work well in a team environment.
How to prepare for a job interview at Focus 5 Recruitment
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis to drive business decisions. Be ready to explain your thought process and the tools you used, such as SQL or Python.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with the data visualisation tools mentioned in the job description, like Tableau or Power BI. Bring examples of dashboards or reports you've created to showcase your skills.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. Remember, you'll need to present findings to both technical and non-technical audiences, so clarity is key.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategies and how they measure success. This shows your genuine interest in the role and helps you understand their expectations better.
