Job Information
Sage Graduate Data Scientist in hybrid, United States
Graduate Data Scientist
Job Description:
Calling all Graduates! Are you looking for an opportunity to kickstart your career with industry leading training and mentoring? If so, then look no further as we're looking for a Graduate Data Scientist to join our 2025 Graduate Scheme.
As the world becomes increasingly more digitalised, the importance of data and the understanding of it grows day by day. Sage AI is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The Sage AI team builds capabilities to help businesses make better decisions through data-powered insights.
As a part of our team, you will be crafting machine learning solutions to help steer the direction of the entire company’s Data Science and Machine Learning effort. You will have chances to innovate, contribute and make an impact on the rapidly growing FinTech industry.
You will participate in the design, development, delivery, and analysis of high-quality machine learning solutions that contribute to the success of Sage and contributes intelligence to its products. You will learn how to use cutting-edge ML/AI tools such as tensorflow/pytorch, sklearn, etc. as well as the tools that are used to run models in production – docker, kubernetes, AWS, etc.
Core to the role, you will have passion and motivation for all things Data Science and Machine Learning, whilst appreciating that learning is a key part of the role, just as is the confidence to suggest recommendations and effectively communicate results to diverse groups and stakeholders.
In this role, you will pair with a dedicated mentor from Sage AI and gain hands on experience in all parts of the ML Development lifecycle in order to hone both your technical and professional skills.
Innovation will be at the heart of this role, and as such you will continually demonstrate the sharing of new idea, suggest opportunities and better ways of working.
Key Responsibilities:
You'll also be involved in
• Contribute to the data analysis and development of effective statistical models for segmentation, classification, optimisation, time series, etc.
• Design and implement model validation and performance metrics and build dashboards that help us track these metrics over time
• Present findings to the wider team and/or organisation
• Identify insights, suggest recommendations that influence the direction of the business
• Suggest improvements in the tools and techniques to help develop the team
To excel in this role, you'll likely possess a degree in a related field and aspire to a career in Data Science. However, at Sage, we value diversity and welcome candidates from varied backgrounds and experiences.
You’ll also be,
• Passion for continuous learning and professional development.
• Proactive approach to challenges, coupled with a willingness to embrace new technologies and methodologies.
• Curiosity-driven mindset with a penchant for innovation and problem-solving.
• Genuine commitment to delivering exceptional customer experiences.
• Outstanding interpersonal and communication skills, including the ability to present complex findings in a clear and concise manner.
• Strong attention to detail and a penchant for meticulous data analysis.
• Experience using statistical and machine learning techniques would be advantageous.
This role is based in Atlanta, with hybrid working opportunities.
What you can expect from the process
Apply online with CV
Complete screening and video interview (You will receive a link to complete a video interview within 1 week of applying)
If successful at video interview stage, you will be invited to attend an assessment centre
Successful candidates will join us in January 2025
Function:
Product
Country:
United States
Office Location:
Atlanta
Work Place type:
Hybrid
Advert
Working at Sage means you’re supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions.
Our colleagues are the best of the best. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential.
Learn more about working at Sage:sage.com/en-us/company/careers/working-at-sage/
Watch a video about our culture:youtube.com/watch?v=h1-vs3zIpnc
We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out atcareers@sage.com.
Learn more about DEI at Sage:sage.com/en-us/company/careers/diversity-equity-and-inclusion/