At a Glance
- Tasks: Design and deploy predictive models to drive business value and insights.
- Company: Join a forward-thinking company at the forefront of data science innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career development.
- Why this job: Make a real impact with cutting-edge AI technologies and mentor future data scientists.
- Qualifications: Strong Python skills and experience in data science and machine learning.
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 (Python) (Remote) 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 (Python) (Remote)
✨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 machine learning.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and data science. 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’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with large datasets and model deployment to catch our eye.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote)
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, and don’t forget to mention your experience with large datasets!
Showcase Your Technical Skills:We want to see your technical expertise shine! Include details about your experience with tools like pandas, NumPy, and SQL, as well as any exposure to modern AI technologies. This is your chance to impress us with your knowledge!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it makes the whole 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 Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your proficiency. Bring examples of code you've written, especially using libraries like pandas and NumPy. You might even be asked to solve a problem on the spot, so brush up on your coding skills!
✨Discuss Data Pipelines and Engineering
Be prepared to talk about your experience with data pipelines and how you've managed large datasets. Highlight any specific tools or technologies you've used, and be ready to discuss how you ensure data quality and reliability in your analytics.
✨Stay Current with AI Trends
Given the emphasis on modern AI technologies, make sure you're up-to-date with the latest trends, especially around LLMs and Generative AI. Being able to discuss these topics will show your passion for the field and your commitment to continuous learning.
