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Senior Data Scientist

Premium Job From Sage
Recruiter: Sage
Listed on: 2nd November
Location: London or Newcastle
Type: Permanent
Start Date: ASAP

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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!

Experience has taught us that when our customers thrive, we thrive. As a team, we always start with what customers need. Through the good... and more challenging times. Innovating at pace so customers can manage their finances, operations and people. Every one of us shapes our culture at Sage - doing what's right and succeeding together, united by our commitment to each other. We encourage each other to grow in our roles, in our careers and as individuals.

Follow us on our social media sites below to join in conversations about career tips, open positions and company news! #lifeatsage #sagecareers. 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

Every business on Earth must, in some way, do bookkeeping, accounting, and financial planning to operate. At the outset, these functions may seem like mundane facts-of-life in the process of running a business; however, the skill with which a company does them can have a profound impact not only on their business, but also the world.Our team, within the CTO function, builds cloud-based AI-powered features and products that fundamentally change the way businesses operate.

Sage Artificial Intelligence Labs "SAIL" is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The SAIL 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 have overall technical ownership of designing, developing, delivering, and maintaining high quality machine learning solutions that contribute to the success of Sage and contributes intelligence to its products.

If you share our excitement for machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today!

Required Skills/Experience

Proven and deep understanding of statistical and machine learning and deep learning techniques

Excellent analytical, quantitative, problem-solving and critical thinking skills

Experience designing, developing and scaling machine learning models in production

Experience collaborating with the different engineering functions

Ability to assess and translate a loosely defined business problem and advise on the best approaches to deliver quality Machine Learning solutions

Strong technical leadership with the ability to see project initiatives through to completion

Excellent interpersonal skills and the ability to maintain effective working relationships

Technical/professional qualifications

2+ years of experience in designing and developing ML solutions including problem formulation, data exploration and processing, feature engineering and model development and implementation

Proficiency with Python, R, Pandas and ML frameworks such as scikit-learn, PyTorch, TensorFlow etc

Experience with NLP and applying ML in the Accounting/Finance domain 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 continuing this direction

Key Responsibilities

ou might work on

Design, develop, deliver, and maintain high quality data science and machine learning solutions

Define and develop metrics and KPIs to identify and track success

Engage directly with product managers through ideation and experimentation of data science work to showcase what's possible and what could be delivered to drive intelligent product features

Collaborate with architects and engineers to deliver ML solution and ship code to production

Take an active role within the team to contribute to its objectives and key results (OKRs) and to the wider AI strategy

Presenting findings, results, and performance metrics to the team and stakeholders.