At a Glance
- Tasks: Design and deploy predictive models to drive business success.
- Company: Join a forward-thinking company embracing data-driven decision-making.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact with cutting-edge AI technologies and mentor future data scientists.
- Qualifications: Strong experience in Data Science, Machine Learning, and Python skills required.
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 Manager (Remote) in Manchester employer: NearTech Search
As a remote employer, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Data Science team to thrive. We offer competitive benefits, including flexible working hours and opportunities for professional development, ensuring that our employees can grow their skills while contributing to impactful projects. Join us to be part of a forward-thinking organisation that values creativity and encourages the exploration of cutting-edge AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager (Remote) in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. Attend industry meetups or webinars to meet potential employers and showcase your skills.
✨Tip Number 2
Show off your projects! Create a portfolio that highlights your predictive models and analytics work. Use platforms like GitHub to share your code and demonstrate your hands-on experience with data engineering and model deployment.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and machine learning frameworks. Practice explaining complex concepts in simple terms to impress your interviewers.
✨Tip Number 4
Don't forget to apply through our website! We have exciting roles waiting for talented individuals like you. Tailor your application to highlight your relevant experience and show us how you can contribute to our team.
We think you need these skills to ace Data Science Manager (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 measurable business value.
Showcase Your Projects:Include specific examples of projects where you've built and deployed machine learning models. We love seeing real-world applications of your skills, so don’t hold back on the details!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Mention your familiarity with modern AI technologies and how your experience aligns with our needs. Make it personal and engaging!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at NearTech Search
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around predictive modelling and machine learning. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your hands-on experience and problem-solving skills.
✨Showcase Your Technical Skills
Since the role requires strong Python skills and familiarity with tools like pandas and NumPy, be prepared to demonstrate your coding abilities. You might even be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
✨Understand the Business Impact
This role is all about delivering measurable business value, so think about how your work has contributed to commercial outcomes in the past. Be ready to discuss how your predictive models have supported decision-making or revenue growth, as this will highlight your understanding of the business side of data science.
✨Prepare for Collaboration Questions
Collaboration is key in this role, so expect questions about how you've worked with engineering teams or mentored junior members. Think of examples that showcase your teamwork and leadership skills, as well as your ability to communicate complex ideas clearly to non-technical stakeholders.
