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 mentorship opportunities for career advancement.
- Why this job: Make a real impact with cutting-edge AI technologies and large datasets.
- Qualifications: Experience in Data Science, Machine Learning, and strong 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 Data Science Senior Data Scientist (Remote) in Manchester employer: NearTech Search
As a leading employer in the data science field, we offer a dynamic remote work environment that fosters innovation and collaboration. Our culture prioritises continuous learning and professional development, providing ample opportunities for employees to enhance their skills and advance their careers. With a focus on impactful projects and cutting-edge technologies, we empower our team to deliver meaningful solutions that drive business success while enjoying the flexibility of remote work.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (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. Use platforms like GitHub to share your code and demonstrate your hands-on experience with Python and data pipelines.
✨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—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant experience and how you can contribute to our data science capabilities.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (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 large datasets, as well as any exposure to AI technologies. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Senior Data Scientist role. Share specific examples of your past work that align with our needs, especially around model deployment and data engineering.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any portfolio showcasing your predictive analytics and machine learning solutions. We love seeing practical applications of your skills!
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 shows you’re keen on joining the StudySmarter family!
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, like SQL or cloud platforms, and be ready to discuss how you ensure data quality and reliability.
✨Demonstrate Collaboration
Since this role involves working with engineering teams, share examples of how you've collaborated in the past. Discuss any cross-functional projects where you contributed to model deployment or monitoring, as this will show your ability to work well in a team.
✨Stay Updated on AI Trends
Given the emphasis on modern AI technologies, brush up on the latest trends in LLMs and Generative AI. Being able to discuss these topics will demonstrate your passion for the field and your commitment to continuous learning.
