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- Tasks: Design predictive models for water system management and collaborate with a talented team.
- Company: Join Trident Intelligent Solutions, a data-driven tech firm revolutionising the water industry.
- Benefits: Enjoy remote work, 25 days annual leave, gym access, and more exciting perks.
- Why this job: Make a real-world impact while developing your skills in a supportive, innovative environment.
- Qualifications: BSc/MSc in STEM or Data Science with 2-3 years of experience in Python and SQL.
- Other info: Opportunity for mentorship and leadership in a growing team with future expansion plans.
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. Partnering with Trident offers their clients a new perspective on how to gain the best out of their data through exciting innovation.
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.
- Design and deploy predictive models for leak and burst detection in water networks.
- Collaborate with engineers, analysts, and stakeholders to translate requirements into actionable data science solutions.
- Use SQL to extract, clean, and transform data from complex databases.
- Contribute to and improve MLOps workflows for scalable, maintainable model deployment.
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.
- Familiarity with MLOps principles including deployment, version control, and monitoring would be a great plus.
- 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.
Data Scientist, Python, Machine Learning, Remote employer: Trident Intelligent Solutions
Contact Detail:
Trident Intelligent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Python, Machine Learning, Remote
✨Tip Number 1
Familiarise yourself with the specific challenges in the water industry. Understanding how predictive analytics can enhance water system management will give you an edge during discussions with Trident. Research recent trends and case studies to demonstrate your knowledge.
✨Tip Number 2
Showcase your experience with Python and SQL through practical examples. Be ready to discuss specific projects where you've built predictive models or worked on data manipulation, as this will highlight your technical skills relevant to the role.
✨Tip Number 3
Prepare to discuss MLOps principles and how they apply to model deployment. Being able to articulate your understanding of version control and monitoring will demonstrate your readiness to contribute to scalable solutions at Trident.
✨Tip Number 4
Network with professionals in the data science field, especially those working in similar industries. Engaging with others can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Scientist, Python, Machine Learning, Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with Python and SQL. Emphasise any projects or roles where you've built predictive models or worked with machine learning techniques.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or achievements that demonstrate your ability to deliver impactful insights, especially in the context of water management.
Showcase Technical Skills: Clearly outline your technical skills related to data analysis, modelling, and MLOps. Provide examples of how you've used these skills in previous roles, particularly focusing on any experience with leak detection or forecasting.
Highlight Collaboration Experience: Since the role involves collaboration with engineers and stakeholders, include examples of past teamwork. Describe how you translated requirements into actionable solutions and contributed to successful project outcomes.
How to prepare for a job interview at Trident Intelligent Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and machine learning techniques. Bring examples of projects where you've successfully built predictive models or worked with data analysis, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Focus
Research Trident Intelligent Solutions and their work in the water industry. Familiarise yourself with how predictive analytics can enhance water system management, as this knowledge will help you align your answers with their goals during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach building models for leak detection or forecasting customer demand, and be ready to explain your thought process clearly.
✨Demonstrate Team Collaboration Skills
Since the role involves working with engineers and stakeholders, highlight your experience in collaborative projects. Share examples of how you've effectively communicated technical concepts to non-technical team members or led junior colleagues.
