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- Tasks: Solve real business problems using AI and collaborate with a dynamic team.
- Company: Global recruitment specialist with a focus on innovation and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Hybrid work model with excellent career advancement opportunities.
- Why this job: Make an impact in the AI field while working with cutting-edge technologies.
- Qualifications: Experience in Python and data science, with strong collaboration skills.
The predicted salary is between 60000 - 80000 £ per year.
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada.
Location: London (Hybrid – 3 days per week onsite)
- Business Understanding and Scope Definition: Work with stakeholders to understand the business problem that the AI model aims to solve. Help define the project scope, translating business requirements into technical specifications. Identify relevant data sources and determine key performance indicators (KPIs).
- Data Acquisition and Preprocessing: Work with ML engineers in designing pipelines collecting appropriate data from various sources, cleaning and preprocessing the data, and ensuring data quality.
- Model Selection and Training: Design appropriate training strategies. Design and select appropriate ML algorithms and architecture (LLM architecture (e.g., BERT, GPT-3) based on project requirements. Recommend the metrics and design reports used to evaluate the model’s performance using various metrics, such as accuracy, precision, recall, and F1-score. Identify areas for improvement and optimize the model by adjusting parameters, trying different architectures, or incorporating new data. Experiment with different prompts and evaluate their impact on the LLM's performance.
- Deployment and Monitoring: Work with Engineers to deploy the AI model into a production environment. Recommend the metrics and reports to be used to track model performance. Contribute to the setting up of automated monitoring systems and developing strategies for handling unexpected behaviour.
- Collaboration and Communication: Collaborate with other team members, including ML engineers, product managers, and domain experts.
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible.
Data Science Data Science Senior Data Scientist (Python) (Remote) in London employer: eTeam
Contact Detail:
eTeam Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving Python and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when collaborating with stakeholders and team members.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Python, ML algorithms, and any relevant projects that showcase your skills in business understanding and model training.
Showcase Your Collaboration Skills: Since collaboration is key in this role, mention any experiences where you've worked with stakeholders or cross-functional teams. We want to see how you communicate and work with others to solve problems.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements and skills that align with the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at eTeam
✨Know Your Business
Before the interview, make sure you understand the business problems that the AI model aims to solve. Research the company’s projects and think about how your skills can translate into solving their specific challenges.
✨Brush Up on Python and ML Concepts
Since this role focuses heavily on Python and machine learning, be prepared to discuss your experience with relevant algorithms and architectures. Practise explaining complex concepts in simple terms, as you may need to communicate these ideas to non-technical stakeholders.
✨Prepare for Technical Questions
Expect technical questions related to data acquisition, preprocessing, and model evaluation metrics. Review common ML algorithms and be ready to discuss how you would approach a project from data collection to deployment.
✨Showcase Collaboration Skills
This role requires collaboration with various team members. Be ready to share examples of how you've successfully worked with others in past projects, especially with ML engineers and product managers, to highlight your teamwork and communication skills.