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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) 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)
✨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. Keep an eye on our listings and get your application in – we’d love to hear from you!
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 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.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and machine learning algorithms. Bring examples of past projects where you designed training strategies or worked on model selection and training. This will demonstrate your hands-on expertise.
✨Prepare for Collaboration Questions
Since collaboration is key in this role, think of examples where you’ve successfully worked with cross-functional teams. Be ready to discuss how you communicated complex technical concepts to non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the tools they use for data acquisition and preprocessing, or how they measure model performance. This shows your genuine interest in the role and the company.