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- Tasks: Lead AI/ML product development and data analysis using R to solve business challenges.
- Company: Join an award-winning SaaS company transforming local authority management with innovative technology.
- Benefits: Enjoy a vibrant work culture, opportunities for career progression, and remote work options.
- Why this job: Be part of a dynamic team driving digital transformation and making a real impact in the data realm.
- Qualifications: 2+ years of R programming experience and strong skills in data analysis and model building required.
- Other info: This is a full-time, permanent role with potential for management progression.
The predicted salary is between 28800 - 48000 £ per year.
Our award-winning SaaS client who offers local authority management software that utilises digital technology, behavioural insights and data science to build trust, drive efficiencies and maximise revenue is looking for a Data Scientist to join their growing function.
You will take over their new product delivery with your experience to time scale and have the opportunity to progress into management if this is something you foresee in your career.
The Data Scientist will work in the Insight Services team and be responsible for leading AI/ML and Data Science product development and research work, and supporting our multi-award-winning AI product portfolio.
The Data Scientist will:
- Undertake data collection, processing and analysis
- Build models to address business problems
- Present information using data visualization techniques
- Develop (design, code and test), deploy & support code as part of our AI Products in Cloud-hosted infrastructure for use by end customers
- Provide Level 3 type application support to our Customer Success team
As a rough guide, approximately 80% of the time spent in this role will be aimed at new AI product development & enhancement, and 20% at Level 3 support activities.
Essential knowledge:
- The ability to write valid and efficient SQL queries
- Software application development in a Software Product environment
- 2+ years' experience of developing in R with RStudio / Posit. Please note: prior R experience is mandatory
- 2+ years' experience of working on modelling & API code
- Development in an RDBMS environment such as MySQL, SQL Server etc.
If this role sounds like your next career move please click "APPLY" OR Email Data Scientist - R Position.
Role and Responsibilities:
- Develop comprehensive data models and algorithms using R programming language to support business decisions.
- Analyze large, complex data sets to derive actionable insights and create clear, informative visualizations.
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions and recommendations.
- Continuously improve existing machine learning models and introduce innovative solutions that add value to the company's services.
- Ensure data quality and integrity throughout the data lifecycle.
- Stay informed on new technology trends and how they can be leveraged within the company.
Key Skills:
- Proficiency in R programming language with hands-on experience in data analysis and model building.
- Strong understanding of machine learning, statistical analysis, and data mining techniques.
- Excellent problem-solving skills with the ability to handle multiple tasks under tight deadlines.
- Strategic thinker with outstanding communication skills, capable of conveying complex data insights in a clear and effective manner.
- Thorough knowledge of data manipulation and extraction techniques.
This is a full-time, permanent position. If you are looking to advance your career in a challenging yet rewarding environment, you might be the ideal candidate for this role.
Data Scientist / R - Manchester Based employer: Oliver James
Contact Detail:
Oliver James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / R - Manchester Based
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to the SaaS industry. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with current employees or alumni from your university who work in similar roles. They can provide valuable insights about the company culture and expectations, which can be beneficial for your interview preparation.
✨Tip Number 3
Prepare to discuss specific projects where you've used R for data analysis or model building. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Practice your data visualisation skills using tools that complement R, such as ggplot2. Being able to present complex data in an understandable way is crucial for this role, so make sure you can demonstrate this ability effectively.
We think you need these skills to ace Data Scientist / R - Manchester Based
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R programming, SQL queries, and any relevant projects you've worked on. Emphasise your skills in data analysis and model building, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data science and how your background aligns with the company's mission. Mention specific experiences that demonstrate your ability to develop AI products and collaborate with teams.
Showcase Your Projects: If you have any relevant projects or case studies, consider including links or descriptions in your application. This could be anything from personal projects to contributions to open-source initiatives that showcase your R skills and problem-solving abilities.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Brush up on your knowledge of machine learning models, data visualisation techniques, and any specific tools or libraries you’ve used in R.
How to prepare for a job interview at Oliver James
✨Showcase Your R Expertise
Make sure to highlight your experience with R programming during the interview. Be prepared to discuss specific projects where you've used R for data analysis or model building, as this is a key requirement for the role.
✨Demonstrate Problem-Solving Skills
Prepare to discuss how you've tackled complex data problems in the past. Use examples that showcase your analytical thinking and ability to derive actionable insights from large datasets.
✨Communicate Clearly
Since the role requires conveying complex data insights, practice explaining your previous work in simple terms. This will demonstrate your communication skills and ability to collaborate with cross-functional teams.
✨Stay Updated on Trends
Familiarise yourself with the latest trends in AI and machine learning. Being able to discuss how new technologies can be leveraged within the company will show your enthusiasm and forward-thinking approach.
