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- Tasks: Analyse data, build ML models, and optimise strategies for impactful insights.
- Company: Dynamic organisation investing in data and analytics for growth.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional development.
- Why this job: Join a fast-paced team and shape the future of data-driven decision making.
- Qualifications: 5+ years in analytics, proficient in Python and SQL, strong problem-solving skills.
- Other info: Supportive environment with mentorship opportunities and immediate interviews.
The predicted salary is between 36000 - 60000 £ per year.
Data plays a central role in the organisation we are recruiting for, and they have had continued investment in their data and analytics function, which means they are now looking for a Data Scientist to join their team. This role spans the full life cycle of data management and analytics. You will work closely with colleagues and external partners to deliver performance insights, optimise operational strategies and support continuous improvement. Your work will help them maximise the value they deliver to clients and strengthen their decision making across the business.
We are looking for someone hands on, curious, and comfortable solving complex problems. You will bring strong analytical capability, experience with A/B testing and machine learning models, and the ability to explain technical ideas clearly. Reporting to the Head of Data & Analytics, you will join a supportive, fast moving team where your contribution will help shape the future direction of the department.
Key Responsibilities- Champion data accuracy and quality, using relationships with third party providers to improve and enhance data portfolios.
- Provide insight into client portfolios and help identify trends across the business.
- Create and maintain bespoke machine learning/ML models for internal and client-facing use cases.
- Lead and manage strategies to improve the performance of existing contact strategies.
- Work closely with operational leaders to help maximise contact centre resources and deliver strong client outcomes, leading projects from inception to completion.
- Support and mentor junior team members and contribute to a collaborative team environment.
- 5+ years' experience in an analytical role.
- Experience identifying performance trends and building machine learning/ML models that support operational strategies.
- Proficient in Python, SQL and Microsoft Excel.
- Strong interpersonal skills, with the ability to communicate complex ideas clearly and confidently.
- Strong problem solving ability and a structured approach to analysis.
- Effective time management and the ability to balance multiple projects.
- A bachelor's degree in a numerical subject (such as Mathematics or Statistics) or equivalent experience.
- Working knowledge of Python and/or R beyond standard usage.
This is an urgent role with interview imminent, so please apply immediately to be considered.
Data Scientist in Nottingham employer: Exalto Consulting
Contact Detail:
Exalto Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with ML models. Practise explaining complex concepts in simple terms – it’ll impress the interviewers!
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. Highlight any A/B testing or machine learning models you've built – it’s a great way to demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and machine learning models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your analytical skills can help us optimise operational strategies. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of complex problems you've solved in the past. We love candidates who can think critically and come up with innovative solutions, so let us know how you’ve done this before!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s quick and easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Exalto Consulting
✨Know Your Data Inside Out
Before the interview, dive deep into the data landscape of the company. Familiarise yourself with their existing data management practices and think about how you can enhance them. Be ready to discuss specific ML models you've built and how they could apply to the organisation's needs.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. Consider bringing along a portfolio of your previous work or projects that highlight your analytical capabilities and experience with A/B testing. This will help you stand out as a hands-on candidate.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. The ability to communicate effectively with both technical and non-technical stakeholders is crucial. Think of examples where you've successfully conveyed your ideas and be prepared to share them.
✨Emphasise Team Collaboration
Since this role involves working closely with colleagues and mentoring junior team members, be ready to discuss your experiences in collaborative environments. Highlight instances where you've led projects or contributed to team success, showcasing your interpersonal skills.
