At a Glance
- Tasks: Design and deploy predictive models to drive business success.
- Company: Join a forward-thinking company focused on data-driven solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities for career advancement.
- Why this job: Make an impact with cutting-edge AI technologies and real-world applications.
- Qualifications: Experience in Data Science, Machine Learning, and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
The role: We are seeking an experienced Senior Data Scientist to develop and deploy predictive analytics and machine learning solutions that deliver measurable business value. This role combines hands-on data science, data engineering, and model deployment, working across the full lifecycle from data acquisition and preparation through to production implementation and monitoring. The ideal candidate will have strong commercial experience building predictive models, working with large datasets, and delivering scalable, production-ready solutions. Exposure to modern AI technologies, including LLMs, is desirable.
Responsibilities:
- Design, build, and deploy predictive and machine learning models.
- Analyse complex datasets to generate insights and support business decision-making.
- Develop pricing, forecasting, and predictive analytics models to support commercial optimisation and revenue growth.
- Develop and maintain data pipelines and data preparation processes.
- Work across multiple data sources to create reliable datasets for analytics and modelling.
- Collaborate with engineering teams to deploy and monitor models in production.
- Contribute to data science best practices, technical design, and continuous improvement initiatives.
- Mentor junior team members and support the growth of internal data science capabilities.
Skills & Experience:
- Significant commercial experience in Data Science, Machine Learning, or Advanced Analytics.
- Strong Python skills with experience using pandas, NumPy, Jupyter, and related tools.
- Hands-on experience building and deploying predictive models in production environments.
- Experience with pricing, forecasting, revenue optimisation, risk modelling, or similar predictive analytics use cases is highly desirable.
- Experience designing and maintaining data pipelines and working with large datasets.
- Knowledge of SQL and modern database technologies.
- Familiarity with cloud platforms, APIs, CI/CD, and containerisation technologies.
- Exposure to LLMs, Generative AI, or Natural Language Processing is advantageous.
- Excellent analytical, problem-solving, and stakeholder management skills.
Ideal Candidate: A pragmatic, hands-on Data Scientist who combines strong modelling expertise with practical data engineering experience and can deliver robust, scalable solutions that drive commercial outcomes.
Data Science Data Science Data Modeler (Remote) in Manchester employer: NearTech Search
Join a forward-thinking company that values innovation and collaboration, offering a remote work environment that promotes flexibility and work-life balance. With a strong focus on employee growth, we provide opportunities for continuous learning and mentorship, ensuring that our team members can thrive in their careers while contributing to impactful data science projects. Our inclusive culture encourages creativity and the sharing of ideas, making it an excellent place for passionate data professionals to make a meaningful difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Data Science Data Modeler (Remote) in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analytics projects. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and machine learning. Be ready to discuss your past projects and how they delivered business value – that’s what they want to hear!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Science Data Science Data Modeler (Remote) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your hands-on experience with predictive models and data engineering, as we want to see how you can deliver robust solutions.
Showcase Your Projects:Include specific examples of projects where you've built and deployed predictive models. We love seeing real-world applications of your skills, especially if they relate to pricing or revenue optimisation.
Be Clear and Concise:When writing your cover letter, get straight to the point. We appreciate clarity, so explain how your background aligns with our needs without fluff. Remember, we’re looking for someone who can communicate complex ideas simply.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at NearTech Search
✨Know Your Models Inside Out
Make sure you can discuss the predictive models you've built in detail. Be ready to explain your thought process, the data you used, and how you validated your results. This shows you not only understand the theory but also have practical experience.
✨Showcase Your Data Pipeline Skills
Be prepared to talk about your experience with data pipelines. Discuss specific tools and technologies you've used, like SQL or cloud platforms, and how you've ensured data quality and reliability. This will demonstrate your ability to handle large datasets effectively.
✨Familiarity with AI Technologies
If you've worked with LLMs or Generative AI, make sure to highlight this experience. Companies are keen on candidates who can leverage modern AI technologies, so share any relevant projects or insights you've gained from them.
✨Collaboration is Key
Emphasise your teamwork skills, especially when it comes to working with engineering teams. Share examples of how you've collaborated to deploy models in production and how you’ve contributed to best practices within your team. This shows you're a team player and can drive results together.
