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- Tasks: Lead data-driven projects, analyze datasets, and build machine learning models.
- Company: Join a top retail company focused on growth through advanced analytics.
- Benefits: Competitive salary, collaborative environment, and opportunities for mentorship.
- Why this job: Make a real impact with your data skills in a dynamic team setting.
- Qualifications: 3-4 years in Data Science, strong Python skills, and experience in mentoring.
- Other info: In-office work 3 days a week; no sponsorship available.
The predicted salary is between 60000 - 84000 £ per year.
Lead Data Scientist Milton Keynes (in office 3 x a week) £70,000 – £80,000 per annum La Fosse is delighted to be partnering with a leading company in the retail sector to hire a Lead Data Scientist . The company is looking to drive business growth through advanced data analytics and model-based solutions. In this role, you’ll collaborate with stakeholders, create data-driven solutions, and work with engineering teams to leverage the company’s data platform for impactful results. Key Responsibilities: Develop and test hypotheses to drive business performance. Analyse complex datasets to extract actionable insights. Build statistical and machine learning models. Design and develop real-time dashboards and machine learning pipelines. Develop forecasting and dynamic pricing models to optimise revenue. Communicate insights and recommendations to stakeholders. Technical Skills Required: Proficiency in data visualisation (e.g., Power BI). Expertise in statistical modelling and machine learning. Strong programming skills in Python; Java and C are a plus. Familiarity with cloud-based tools (Azure, MS Fabric Stack preferred). Qualifications & Experience: 3-4 years in Data Science / Advanced Analytics. Proven ability to deliver high-impact analytics and insights. Experience mentoring junior team members. Experience in forecasting and dynamic pricing models. Key Attributes: Results-driven with a focus on actionable outcomes. Collaborative and comfortable working across teams. Energetic, resilient, and customer-focused. Apply for this role now if you : Are a highly motivated and skilled Data Scientist looking to make an impact. Have a passion for solving complex business problems through data. Thrive in a fast-paced, collaborative environment. *Unfortunately, this role does not offer sponsorship.*
Lead Data Scientist employer: La Fosse
Contact Detail:
La Fosse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Familiarize yourself with the retail sector and its data challenges. Understanding the specific business problems faced by retailers will help you tailor your insights and solutions to meet their needs.
✨Tip Number 2
Showcase your experience with statistical modeling and machine learning in your discussions. Be prepared to discuss specific projects where you've successfully implemented these techniques to drive business performance.
✨Tip Number 3
Highlight your collaborative skills during interviews. Since this role involves working closely with stakeholders and engineering teams, demonstrating your ability to communicate effectively and work as part of a team will be crucial.
✨Tip Number 4
Prepare examples of how you've used data visualization tools like Power BI to present complex data insights. Being able to convey your findings clearly and effectively will set you apart from other candidates.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Lead Data Scientist position. Understand the key responsibilities and required skills, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, particularly in statistical modeling, machine learning, and data visualization. Make sure to include specific examples of projects where you drove business performance through data analytics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to solve complex business problems. Mention your experience with tools like Power BI and programming languages such as Python, and explain how you can contribute to the company's goals.
Highlight Collaboration Skills: Since the role involves working with stakeholders and engineering teams, emphasize your collaborative skills in both your CV and cover letter. Provide examples of how you've successfully worked across teams to deliver impactful results.
How to prepare for a job interview at La Fosse
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in data visualization tools like Power BI, as well as your experience with statistical modeling and machine learning. Highlight specific projects where you've successfully applied these skills.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've developed and tested hypotheses to drive business performance. Discuss complex datasets you've analyzed and the actionable insights you extracted from them.
✨Emphasize Collaboration
Since this role involves working with various stakeholders and engineering teams, be ready to share experiences that showcase your collaborative approach. Talk about how you’ve communicated insights and recommendations effectively.
✨Highlight Mentorship Experience
If you have experience mentoring junior team members, make sure to mention it. Discuss how you've helped others grow in their roles and contributed to a positive team environment.
