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- Tasks: Join a dynamic team to build predictive models for water system management.
- Company: Trident Intelligent Solutions is a local tech firm focused on data-driven insights in the water industry.
- Benefits: Enjoy remote work, 25 days annual leave, gym access, and more perks in new offices.
- Why this job: Make a real-world impact while developing your skills with mentorship from industry founders.
- Qualifications: BSc/MSc in STEM or Data Science with 2-3 years of experience in Python and SQL.
- Other info: Opportunity to lead junior team members and expand responsibilities over time.
The predicted salary is between 36000 - 60000 £ per year.
Robert Walters is proud to partner with Trident Intelligent Solutions, a local, data-driven technology firm, to appoint their next Data Scientist. Trident empowers their clients through intelligent & predictive analytics, currently focused on delivering impactful insights in the water industry.
The Opportunity: I am recruiting for an experienced Data Scientist to join their growing team of 10 talented individuals. In the first 3–4 months, you will focus on a key client engagement, building predictive models that enhance water system management. Your work will play a critical role in predicting leaks and bursts, forecasting leak rates, and anticipating customer demand—delivering real-world value through advanced data science. You will have the opportunity to develop your technical skills through the mentorship of the founders and also help lead a team of juniors. Further down the line, this role will then look to expand its responsibilities into other client accounts and tasks.
Some Key Responsibilities of the Role:
- Design and deploy predictive models for leak and burst detection in water networks.
- Perform time-series forecasting of customer demand and leak rates.
- Collaborate with engineers, analysts, and stakeholders to translate requirements into actionable data science solutions.
- Attend client-facing meetings, explaining the solutions on offer.
- Use SQL to extract, clean, and transform data from complex databases.
- Contribute to and improve MLOps workflows for scalable, maintainable model deployment.
- Clearly present insights and recommendations to both internal teams and client stakeholders.
Preferred Requirements:
- BSc or MSc in a relevant subject such as STEM, Data Science, Machine Learning etc + 2/3 years commercial experience.
- Strong proficient experience in Python for data analysis, modelling, and deployment.
- Advanced skills in SQL for data manipulation and querying.
- Strong understanding of machine learning, statistics, and time-series forecasting techniques.
- Proven ability to communicate complex findings to both technical and non-technical audiences.
- Familiarity with MLOps principles including deployment, version control, and monitoring would be a great plus. A strong interest will also be considered.
- Self-driven with the ability to manage and deliver complex projects independently.
The role is paying a salary of up to £45,000 per annum and comes with a wealth of benefits including 25 days of annual leave, company pension, life assurance 4x the salary, company income protection scheme & more. The business is expected to move into fantastic new offices shortly which will also provide parking, padel courts, on-site gym, cafes & more. The role is a remote-first role with occasional office visits in Cheshire East. These can be more frequent if you would like more face time.
Apply within if you feel this role is of interest to yourself.
Locations
Data Scientist employer: Trident Intelligent Solutions
Contact Detail:
Trident Intelligent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific challenges in the water industry. Understanding the nuances of water system management and predictive analytics will help you stand out during interviews, as you'll be able to discuss relevant solutions and insights.
✨Tip Number 2
Brush up on your SQL skills, especially in data extraction and transformation. Since the role requires advanced SQL for data manipulation, being able to demonstrate your proficiency in this area can significantly boost your chances.
✨Tip Number 3
Prepare to discuss your experience with machine learning and time-series forecasting techniques. Be ready to share specific examples of projects where you've successfully applied these skills, as this will show your practical knowledge and problem-solving abilities.
✨Tip Number 4
Highlight your communication skills, particularly your ability to explain complex data science concepts to non-technical audiences. This is crucial for the role, so think of instances where you've successfully conveyed technical information in an understandable way.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with predictive modelling and SQL. Emphasise any projects or roles where you've worked on similar tasks as those listed in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the water industry. Mention specific skills like Python and MLOps that align with the role, and explain how you can contribute to Trident's mission.
Showcase Your Projects: If you have completed any relevant projects, especially those involving time-series forecasting or machine learning, include them in your application. Provide links to your GitHub or portfolio to demonstrate your technical skills.
Prepare for Interviews: Anticipate questions related to your technical expertise and problem-solving abilities. Be ready to discuss how you would approach building predictive models and communicating insights to both technical and non-technical audiences.
How to prepare for a job interview at Trident Intelligent Solutions
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and SQL during the interview. Be prepared to discuss specific projects where you've used these skills, especially in data analysis and model deployment.
✨Understand the Water Industry
Familiarise yourself with the challenges and trends in the water industry. Being able to discuss how predictive analytics can solve real-world problems in this sector will demonstrate your genuine interest in the role.
✨Prepare for Client-Facing Scenarios
Since the role involves attending client meetings, practice explaining complex data science concepts in simple terms. This will show that you can communicate effectively with both technical and non-technical audiences.
✨Demonstrate Your Project Management Skills
Be ready to discuss how you've managed complex projects independently. Highlight any experience you have with MLOps principles, as this will be a valuable asset in the role.
