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- Tasks: Lead data analysis and machine learning projects while mentoring junior team members.
- Company: Join Sage, a dynamic company focused on innovative data solutions.
- Benefits: Enjoy hybrid work options and the chance to work on exciting projects.
- Why this job: Make an impact by solving complex business challenges with data-driven solutions.
- Qualifications: Strong Python skills and experience with SQL and cloud computing are essential.
- Other info: Opportunity to collaborate with diverse teams and stay updated on data science advancements.
The predicted salary is between 43200 - 72000 £ per year.
Job Title
Senior Data Scientist
Job Description
We are seeking a highly motivated and analytical Senior Data Scientist to join our growing team. You will be joining a growing team which is engaged in a variety of exciting new projects which are crucial for the continued success of Sage.
As a Senior Data Scientist, you will have the opportunity to take a leading role in driving best practices, decision-making and mentorship within the team – engaging in both hands-on technical implementation of Machine Learning (and AI) models as well as working cross-functionally with a variety of different stakeholders.
The ideal candidate will have a strong foundation in Python programming and a passion for leveraging data to solve complex business challenges. In this role, you will work closely with other team members to analyze data, build and deploy models, and contribute to the development of data-driven solutions.
Key Responsibilities
What you will be doing:
- Analysing and interpreting large datasets using Python and other relevant tools.
- Developing and implementing machine learning models, including but not limited to:
- Supervised learning (e.g., regression, classification)
- Unsupervised learning (e.g., clustering, dimensionality reduction)
- Collaborating with cross-functional teams to define data requirements and translate business needs into analytical solutions.
- Communicating complex technical concepts effectively to both technical and non-technical audiences.
- Staying abreast of the latest advancements in data science and machine learning.
Requirements:
- Data fluency specifically relating to SQL.
- Experience working with Python.
- Cloud Computing exposure (AWS would be preferred.)
- Familiarity with Snowflake would be nice-to-have.
- Experience in stakeholder engagement in previous roles.
- Ability to teach and coach junior team members would be advantageous.
Function
Service Fabric (Data and Developer Services)
Country
United Kingdom
Office Location
Newcastle
Work Place type
Hybrid
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Senior Data Scientist employer: Sage Group plc
Contact Detail:
Sage Group plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your experience with Python and SQL in your conversations. Highlight specific projects where you've successfully implemented machine learning models, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Engage with current trends in data science and machine learning. Being able to discuss recent advancements or tools like Snowflake can set you apart and show your commitment to staying updated in the field.
✨Tip Number 3
Prepare to discuss your experience in stakeholder engagement. Think of examples where you've effectively communicated complex data concepts to non-technical audiences, as this is crucial for the role.
✨Tip Number 4
If you have experience mentoring or coaching junior team members, be ready to share those experiences. This will highlight your leadership skills and ability to contribute to team development.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning, and data analysis. Include specific projects or achievements that demonstrate your ability to solve complex business challenges using data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with the role at Sage. Mention your experience in stakeholder engagement and your ability to mentor junior team members, as these are key aspects of the position.
Showcase Technical Skills: Be explicit about your technical skills in Python, SQL, and any cloud computing experience you have, especially with AWS. If you have worked with Snowflake, make sure to mention that as well.
Prepare for Interviews: Anticipate questions related to your experience with machine learning models and your approach to analyzing large datasets. Be ready to discuss how you communicate complex concepts to both technical and non-technical audiences.
How to prepare for a job interview at Sage Group plc
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and SQL in detail. Bring examples of projects where you've implemented machine learning models, and be ready to explain your thought process and the impact of your work.
✨Demonstrate Cross-Functional Collaboration
Highlight instances where you've worked with different teams to define data requirements. Discuss how you translated business needs into analytical solutions, showcasing your ability to communicate effectively with both technical and non-technical stakeholders.
✨Stay Updated on Industry Trends
Familiarize yourself with the latest advancements in data science and machine learning. Be ready to discuss recent developments or tools that excite you, as this shows your passion for the field and commitment to continuous learning.
✨Mentorship and Team Leadership
If you have experience mentoring junior team members, share specific examples. Discuss your approach to teaching and coaching, as this is a valuable trait for a Senior Data Scientist and can set you apart from other candidates.
