About the Customer Science team
We believe that everything is better when we put the customer first; data & technology help us do that at scale. We leverage rich first-party data to develop insights, models and systems that deliver better customer and commercial outcomes. We combine technical expertise with a partnering approach to drive strategic change and impact.
We are based in Hoxton Square, at the heart of London’s trendy tech hub, in a start-up style environment with talent from a broad range of industries. We embrace hybrid working; we see huge value in meeting in-person to collaborate and have fun, but we also appreciate the productivity, flexibility and quality-of-life that working from home affords. Above all, we treat our people like adults.
We have won “Best Place to work in Data†at DataIQ Awards in 2019 AND 2020…clearly we are doing something right! https://www.dataiq.co.uk/articles/articles/dataiq-awards-2020---best-place-to-work-in-data-aviva-customer-science-team
As part of our transformation, we are step-changing our approach to AI/ML data products and ML Ops. Our ML Ops Engineers will focus on robust delivery of high-value ML products. We are looking for high-performing, passionate people to help create and deliver this new approach.
Diversity is essential to great data teams; we want to hear from candidates from a range of backgrounds and experiences across ML Engineering, or those looking to refocus from data science, data engineering or software engineering.
Role purpose:
Productionise ML products and own the ongoing management
Use industry best practice to ensure fast, simple, and reliable ML pipelines
Role accountabilities:
Build and maintain robust ML pipelines (e.g. feature flows, scoring, integration, and model monitoring)
Implement industry best practices for development (e.g. code formatting, testing, documentation, version control) to produce robust, readable, and performant code
Collaborate across technical and non-technical functions (e.g. requirements gathering, IT deployment)
Create reusable capability, such as libraries and feature stores
Contribute to the team’s processes, standards, and vision
Minimum qualifications:
Educated to degree level in a mathematical- or programming-oriented subject (Computer Science, Applied Science etc), or able to demonstrate equivalent knowledge and experience.
Strong hand-on experience with Python, SQL, and preferably PySpark
Strong hands-on experience with robust code development practices (e.g. automated testing, CI/CD, GIT)
Desirable experience:
Proven track record productionising ML projects at scale
Hands-on experience with: ML approaches (e.g. feature engineering, training/testing, hyperparameters, deep learning, model management); ML frameworks (e.g. PyData, PyTorch, Keras); Spark (e.g. PySpark, Spark tuning, Spark UI); AWS Sagemaker
Agile mindset and experience with JIRA and Confluence
Experience with Marketing technology (e.g. Adobe)
Passionate about putting the customer first, with significant experience of doing this
Enjoy communicating and collaborating with others to deliver brilliant, high-impact work
Able to communicate complex technical concepts to specialist / non-specialist audiences
A positive, can-do attitude and a proactive approach; a great team player
What will you get for this role?
Competitive salary depending on location, skills, experience, and qualifications
A generous defined contribution pension scheme
Annual performance related bonus and pay review
A holiday allowance of 29 days plus bank holidays and the option to buy/sell up to 5 additional days
Up to 40% discount for some Aviva products through “My Aviva Extras†plus discounts for Friends and Family (some exclusions apply)
Excellent range of flexible benefits to include a matching share save scheme
Working at Aviva
At Aviva, we’re people with a purpose. To be with you today, for a better tomorrow.
We bring this to life by ensuring managing risk is at the heart of the way we all work. We love people who do the right thing for our customers, and our colleagues. We want people who speak up, who take responsibility, and who make good decisions.
The way we do this is important too. We’re all about our people – that’s you – so we can be pretty flexible. If you want to work from home some of the time or change your hours so you can pick up your kids or care for someone in your family, we’re very open to that. In fact, we don’t advertise roles as either part or full time, because we know each person has different needs, just as each business area has different needs. So, it’s up to you to discuss working hours during your interview.
We care deeply about being inclusive and that means we encourage applications from people with diverse backgrounds and experiences. We want our employees to bring their whole self to work and that starts with you.
We interview every disabled applicant* that meets the minimum criteria for the job. Once you’ve applied, please send us a separate email stating that you have a disclosed disability, and we’ll make sure we interview you.
We’d love it if you could submit your application online. If you require an alternative method of applying, please give Lacey Lane Mckoy a call on 0207 255 0884 or send an email to lacey.lane-mckoy@aviva.com
*As defined in The Equality Act 2010*. By ‘minimum criteria’ we mean you should provide us with evidence which demonstrates that you generally meet the level of competence required and have the qualifications, skills or experience defined as essential to perform the role.
Job ID: 99175
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