At a Glance
- Tasks: Design and deploy predictive models to drive business success.
- Company: Join a forward-thinking company at the forefront of data science.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact with cutting-edge AI technologies and mentor future talent.
- Qualifications: Strong experience in Data Science and Machine Learning, especially with Python.
The predicted salary is between 60000 - 80000 £ per year.
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.
Senior Data Scientist in Manchester employer: NearTech Search
As a leading employer in the tech industry, we offer an innovative work environment that fosters collaboration and creativity. Our commitment to employee growth is evident through mentorship opportunities and continuous learning initiatives, ensuring that our team members thrive in their careers. Located in a vibrant city, we provide a dynamic workplace culture that values diversity and encourages the exploration of cutting-edge technologies, making it an ideal place for passionate data scientists to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist 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 hunt for a Senior Data Scientist role. 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 will set you apart!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can give you a better chance of landing that dream job with us.
We think you need these skills to ace Senior Data Scientist in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with predictive models, large datasets, and any relevant AI technologies. We want to see how your skills align with what we're looking for!
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 work, so don’t hold back on the details that demonstrate your impact!
Be Clear and Concise:When writing your cover letter or application, keep it straightforward. We appreciate clarity, so make sure you communicate your experience and enthusiasm for the role without unnecessary fluff.
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 Models Inside Out
Make sure you can discuss the predictive models you've built in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This shows not only your technical skills but also your problem-solving abilities.
✨Showcase Your Data Pipeline Skills
Be prepared to talk about your experience with data pipelines and how you've managed large datasets. Highlight specific tools and technologies you've used, and be ready to discuss how you ensure data quality and reliability in your analytics.
✨Familiarity with AI Technologies
Since exposure to modern AI technologies is desirable, brush up on your knowledge of LLMs and Generative AI. Be ready to discuss any projects where you've applied these technologies and how they contributed to business outcomes.
✨Collaboration is Key
Emphasise your experience working with engineering teams to deploy models. Share examples of how you've collaborated across departments to ensure successful implementation and monitoring of your solutions, as this is crucial for driving commercial optimisation.
