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: 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: Strong Python skills and experience in data science and machine learning.
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.
Data Science Data Science Senior Data Scientist (Python) (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 commitment to employee growth is evident through mentorship opportunities and continuous learning initiatives, ensuring that our team members stay at the forefront of industry advancements. With a focus on delivering impactful solutions, we provide a culture that values creativity and encourages the exploration of modern AI technologies, making it an exciting place for passionate data scientists to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (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 communities. 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 machine learning.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process and how you've tackled real-world problems using data-driven solutions.
✨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 initiatives.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (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 Python, predictive models, and any relevant projects that showcase your data science prowess.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've developed and deployed machine learning solutions that delivered real business value.
Showcase Your Technical Skills:Don’t forget to mention your proficiency with tools like pandas, NumPy, and SQL. If you’ve worked with cloud platforms or containerisation technologies, make sure to include that too – it’s all about showing us you can hit the ground running!
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 us you’re keen on joining the StudySmarter team!
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 Python Proficiency
Since strong Python skills are a must for this role, prepare to demonstrate your expertise with tools like pandas and NumPy. You might be asked to solve a coding challenge or discuss your experience with data manipulation, so brush up on your coding skills beforehand.
✨Understand the Business Impact
Be prepared to discuss how your work as a Data Scientist has driven business value in previous roles. Think of specific examples where your models led to revenue growth or improved decision-making. This will highlight your ability to connect data science with commercial outcomes.
✨Familiarise Yourself with AI Technologies
Given the emphasis on modern AI technologies, do some research on LLMs and Generative AI. Being able to discuss these topics will show that you're not just technically proficient but also aware of current trends in the field, which is a big plus.
