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- Tasks: Join a dynamic team to develop and deploy cutting-edge AI models for real-world applications.
- Company: Aiimi, a forward-thinking tech company focused on innovative data solutions.
- Benefits: Enjoy 25 days holiday, flexible working, and mental health support.
- Why this job: Make a tangible impact by solving complex problems with data science.
- Qualifications: Advanced degree in Data Science or related field and strong programming skills.
- Other info: Great career growth opportunities and a supportive work environment.
The predicted salary is between 45000 - 55000 £ per year.
Aiimi is seeking a Data Scientist to join our services division and work directly with one of our clients. You will work closely with client stakeholders and cross-functional teams to understand complex problems, architect scalable models, and translate insights into actionable recommendations. This is a client-facing role, on-site in Derby and will involve undergoing SC clearance eligibility due to the sensitive nature of the consulting work.
Job Requirements
- Essential:
- Advanced degree (MSc or PhD) in Data Science, Computer Science, Statistics, or related discipline.
- Experience in data science or related fields.
- Strong proficiency in Python, R, or similar programming languages.
- Experience with machine learning, statistical modelling, and data mining techniques.
- Expertise in data wrangling, feature engineering, and working with large, complex datasets.
- Experience deploying models to production and knowledge of MLOps practices.
- Excellent communication skills, able to explain complex technical concepts to diverse audiences.
- Experience with cloud platforms (Azure, or AWS or GCP) and data engineering workflows.
- Familiarity with big data tools and technologies.
- Relevant certifications in AI, data science, or project management.
Job Responsibilities
- Support the end-to-end development and deployment of machine learning and AI models tailored to client needs.
- Perform data analysis, feature engineering, and model selection to build robust predictive and prescriptive models.
- Collaborate closely with clients, product owners, Engineers, and analysts to ensure solutions are aligned with business goals.
- Validate and monitor model performance, ensuring accuracy, scalability, and compliance with ethical standards.
- Contribute to proposal development, client workshops, and technical presentations.
- Support the integration of models into production environments, working with data engineers and DevOps teams.
- Stay up-to-date with emerging data science trends, tools, and best practices, advocating continuous improvement.
- Influence and help develop internal data science standards, tools, and methodologies.
Job Benefits
- 25 Days holiday (excluding bank holidays) – increasing by a day every 2 years.
- Flexible working options – hybrid.
- Mental health and wellbeing support, including access to counselling.
- Annual wellbeing allowance (e.g. personal training, fitness, wellness apps).
- Up to 10% of your salary in employee benefits, including critical illness cover, life insurance, and private healthcare (post-probation).
- Generous company pension contribution.
- Ongoing professional development and training opportunities.
Data Scientist employer: Aiimi
Contact Detail:
Aiimi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Network Like a Pro
Get out there and connect with people in the data science field! Attend meetups, webinars, or industry events. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Show Off Your Skills
Create a portfolio showcasing your projects and skills. Use platforms like GitHub to share your code and demonstrate your expertise in Python, R, and machine learning. We want to see what you can do, so make it easy for potential employers to find your work!
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online resources. Remember, it’s not just about technical skills; show off your communication skills too!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to reach out directly. Let’s get you that Data Scientist role!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, R, and any machine learning projects you've worked on. We want to see how your skills match what we're looking for!
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 you can contribute to our team. Don't forget to mention your client-facing experience and communication skills!
Showcase Your Projects: If you've got any relevant projects or case studies, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to solve complex problems.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it's super easy!
How to prepare for a job interview at Aiimi
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python, R, and machine learning techniques. Be ready to discuss your past projects and how you've tackled complex data problems. This will show that you’re not just a theory person but someone who can apply their knowledge practically.
✨Communicate Clearly
Since this is a client-facing role, practice explaining complex concepts in simple terms. Think about how you would describe your work to someone without a technical background. Good communication can set you apart from other candidates.
✨Show Your Collaborative Spirit
Highlight your experience working with cross-functional teams. Prepare examples of how you’ve collaborated with engineers, product owners, or clients to achieve a common goal. This will demonstrate that you can work well in a team-oriented environment.
✨Stay Current
Familiarise yourself with the latest trends in data science and MLOps practices. Mention any recent tools or methodologies you’ve learned about, and be prepared to discuss how they could benefit the company. Showing that you’re proactive about your professional development can really impress interviewers.