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- Tasks: Analyse and improve data quality for a global access control programme.
- Company: Understanding Solutions is a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy hybrid work options and competitive day rates, with potential for contract extension.
- Why this job: Join a dynamic team tackling real-world data challenges and make a significant impact.
- Qualifications: Strong Python skills and experience in data science or analytics are essential.
- Other info: Opportunity to work with project teams and external ML consultancies.
Contract Length: 6 months+
Location: Hertfordshire - Hybrid (some travel to the office)
Day Rate: £450-£500 (Outside IR35)
Start Date: ASAP
Understanding Solutions are looking for an experienced Data Scientist to support a global access control programme spanning 150+ sites. This initiative aims to replace multiple legacy systems with a unified access control platform, but data quality challenges are emerging. Your role will focus on data analysis, cleansing, and reconciliation to improve accuracy and efficiency.
The Data Scientist will work closely with project teams, architects, and an external ML consultancy to enhance data quality, develop a Single Customer View, and support the transition of an ML-based data tool in-house.
Experience Needed:
- Strong Python skills - hands-on experience with data processing and reconciliation
- Data Science, Data Quality, or Data Analytics expertise - working with real-world messy data
- Strong elements/experience in Project Management methods.
- Experience with data cleansing, duplication detection, and automation
- Excellent communication skills - able to simplify complex data issues for non-technical teams
- Attention to detail & problem-solving mindset - tackling inconsistent data formats, errors, and governance challenges
- Prior experience working with access control data or security systems is a plus
If this role matches your expertise and you're ready for a new challenge, apply with your updated CV. For more information, reach out to Ross Britton @ Understanding Solutions via LinkedIn.
Data Scientist employer: Bewley Design
Contact Detail:
Bewley Design Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network with professionals in the data science field, especially those who have experience in access control systems. Engaging with them on platforms like LinkedIn can provide insights into the role and may even lead to referrals.
✨Tip Number 2
Familiarise yourself with the latest trends and tools in data cleansing and reconciliation. Being able to discuss these topics confidently during interviews will demonstrate your commitment and expertise in tackling messy data.
✨Tip Number 3
Prepare to showcase your problem-solving skills by discussing specific examples where you've tackled data quality issues. This will help you stand out as a candidate who can effectively manage the challenges outlined in the job description.
✨Tip Number 4
Since communication is key for this role, practice explaining complex data concepts in simple terms. This will not only prepare you for potential interview questions but also show that you can bridge the gap between technical and non-technical teams.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python skills and experience with data processing and reconciliation. Emphasise any relevant projects where you've worked with messy data or improved data quality.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Scientist role and how your background aligns with the requirements. Mention your experience with project management methods and your ability to communicate complex data issues clearly.
Showcase Relevant Experience: If you have prior experience working with access control data or security systems, make sure to highlight this in your application. Provide specific examples of how you've tackled data cleansing and duplication detection.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Attention to detail is crucial, especially in a role focused on data accuracy and governance.
How to prepare for a job interview at Bewley Design
✨Showcase Your Python Skills
Be prepared to discuss your hands-on experience with Python, especially in data processing and reconciliation. You might be asked to solve a problem or explain how you've used Python in past projects, so have specific examples ready.
✨Demonstrate Data Quality Expertise
Since the role focuses on improving data quality, be ready to talk about your experience with data cleansing, duplication detection, and automation. Share any relevant projects where you tackled messy data and the methods you used to ensure accuracy.
✨Communicate Complex Ideas Simply
Excellent communication skills are crucial for this position. Practice explaining complex data issues in simple terms, as you may need to convey these concepts to non-technical team members during the interview.
✨Highlight Project Management Experience
The role requires some project management skills, so be sure to mention any relevant experience. Discuss how you've managed timelines, collaborated with teams, and ensured project goals were met, particularly in data-related projects.
