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    People make Sage great. From our colleagues delivering ground-breaking solutions to the customers who use them: people have helped us grow for more than thirty years, and people are driving our future as a great SaaS company. We're writing our next chapter. Be part of it!

    About us

    At Sage, we recognize that the world of work has rapidly shifted over the last few years, particularly how we work. That is why we have committed to working in a hybrid way going forward. Human connection is an essential ingredient of the 4 principles that make up our Flexible Human Work hybrid framework and we want to be transparent in what that looks like when you join our Sage family. On one hand, our offices will continue to play an important role in our future and serve as a place for spontaneous conversations, connection, collaboration as well as focused time. On the other hand, we have learned to reimagine where and when we work and to unlock that flexibility and innovation for our colleagues offering them the opportunity to work flex across their home, Sage offices or customer sites.

    We invite you to join us and help us write our next chapter. Follow us on our social media sites to join in conversations about open positions and company news! #lifeatsage #sagecareers. If you would like support with your application (or require any adjustments) please contact us at careers@sage.com for assistance. All qualified applicants will be thoughtfully considered and never discriminated against based on their race, color, age, religion, sexual orientation, gender identity, national origin, disability or veteran status.

    Job description

    Sage is a global company with a local heart. The market leader for cloud-based accounting, financials, enterprise management, people, and payroll software, we empower the world’s business heroes—from single-person startups to large enterprises. Our people are passionate and positive. We inspire our colleagues to serve business builders everywhere and champion their success. As a FTSE 100 company with 14,000 colleagues across 24 countries, we do business the right way, while giving back to our local communities through the Sage Foundation. Sage is passionate about building a culture where our colleagues feel they can bring their whole selves to work. Where people know they’ll be judged on their performance and behaviours - not their identity. All qualified applicants will receive consideration for employment and will not be discriminated against based on their race, color, age, religion, sexual orientation, gender identity, national origin, disability or veteran status.

    We are currently hiring a Graduate Data Scientist to join our Sage Artificial Intelligence Labs (SAIL) team. We are a nimble cross-functional team building the future of cloud business management by leveraging AI to turbocharge our users' productivity.
    As a part of our team, you will be contributing to 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 help designing, developing, delivering and maintaining high quality machine learning solutions that contribute to the success of Sage and provide intelligence to its products.

    Key responsibilities

    The activities for this role could range from

     

    • Contribute to developing and maintaining high quality data science and machine learning solutions.
    • Work with data scientists to analyze, visualize and extract insights from data.
    • Train, test and tune ML models for production.
    • Presenting findings and results to the wider team.
    • Building and maintaining good working relationships with various members within SAIL

    Skills, know-how and experience

    Must have

    • Understanding of statistical and machine learning techniques
    • Analytical, quantitative, problem-solving and critical thinking skills
    • Proficiency in English language, verbal and written
    • Articulate with excellent verbal and written communication skills
    • Excellent interpersonal skills and the ability to maintain effective working relationships.

    Technical and professional qualifications

    Must have

    • BS, MS in Data Science, Computer Science, Quantitative Finance, Mathematics, Physics, Statistics, or equivalent quantitative field.
    • Some experience working on a machine learning project, either as part of your degree, work experience and/or on a personal project (Kaggle, Hackathons, Datathons, etc)
    • Familiarity with Python/R, and data science and ML frameworks such as pandas, scikit-learn, or similar.
    • Basic knowledge of NLP and Accounting/Finance domain is a plus.

    What's it like to work here

    You will have an opportunity to work in an environment where Data Science is central to what we do. The products we build are breaking new ground, and we have a focus on providing the best environment to allow you to do what you do best - solve problems, collaborate with your team and push first class software. Our distributed team is spread across multiple continents, we promote an open diverse environment, encourage contributions to open-source software and invest heavily in our staff. Our team is talented, capable and inclusive. We know that great things can only be done with great teams and look forward to continue this direction.

    Key performance indicators

    •  Deliver quality data analytics and ML solutions

    Entry requirements

    A 2:1 or above degree in Data Science, Computer Science, Quantitative Finance, Mathematics, Physics, Statistics, or equivalent quantitative field.

    Our Graduate Recruitment process

    1. Apply online with CV
    2. Complete screening
    3. Complete video interview (You will receive a link to complete a video interview within 1 week of applying)
    4. Attend assessment centre in May/June 2022

    Please note that this role commences on the 3rd October 2022.