Machine Learning Engineer

Job Introduction

With a hybrid approach requiring occasional days in our Folkestone/London office. You will need to be within a reasonable commuting distance to undertake this role.

Our people are everything to us. The way they deliver exceptional experiences every day for our customers, for their colleagues. The way they own what they do. Their 'Why's it like that?' curiosity. How they always think of others and work together to get things done. For us, for you, make do will never do. Good enough? Not even close. Come and do the best work of your life alongside lovely colleagues. Come to Saga. 

And right now, we are looking for a Machine Learning Engineer to join our Insurance Analytics Team. As Machine Learning Engineer you will be responsible for maintaining and developing data pipelines and building and improving the team’s data asset.

Your innate sense of curiosity will help build solutions solving some of the organisations toughest problems and deliver benefits to the business through process efficiency, exceptional customer experiences, and reduced indemnity spend.

You will have strong technical capabilities, focusing on SQL and Python languages to feed data into machine learning models, in both development and production environments. Knowledge of Azure data lakes would be beneficial, as well as experience of pipeline creation and automation. You will need to flex precision pace and the pareto principle to drive strong benefits through smart coding practices.

Advanced analytics within the Insurance Analytics Team is quickly growing, and this is a great opportunity to join a team where you can instantly start to make an impact, input into the creation of a data asset, and develop yourself as a machine learning engineer.

And in return, you can look forward to all the responsibility and involvement of an integral role, providing you with a rewarding and fast-paced career with an excellent benefits package. 

So, if this is of interest to you then we would be keen to hear from you! 

Role Responsibility

• Driving innovation and data-led decision making using advanced analytics and complex engineering pipelines which present high quality data for use in machine learning and insights.
• Working to ensure the team becomes an advanced analytics centre of excellence, sharing best practice throughout Saga.
• Taking an active interest in all insurance data and showing the #Curiosity needed to provide a high quality and well governed data asset.
• Help design and implement reusable modular code for data pipelines to help with scalability.
• Ensure Saga’s data policies for handling sensitive personal data are adhered to within the creation of the data asset and subsequent use cases.
• Contribute to developing and maintaining a governance processes for delivery of automated data engineering pipelines, and build transparency surrounding this process.
• Implement the analytics methodology for each use case from a data engineering perspective, starting with data identification and moving through development to piloting and testing of solutions.
• Build transparency and documentation around the data asset, including a view of claims data quality.

The Ideal Candidate

• Passionate about machine learning
• Experienced with Systems and Data (storage, pipelines, manipulation)
• Proficient in SQL (Transactional and Snowflake)
• Proficient in Python and ML Ops (Pyspark a nice to have)
• Comfortable with Review and Validation
• Knowledge of Insurance Claims, Pricing and financial management
• Experienced with Stakeholder management
• Understanding of regulation and legislation
• Knowledge of visualisation tools such as Tableau or Power BI would be beneficial
• Experience using Data lakes for storage and cloud computing for computing large complex datasets, data pipelines, fully automated processes and troubleshooting across the ML lifecycle (preferably Azure and Databricks)
• Experienced communicator of technical content
• Successfully contributes to a fun, fast-paced, “fail fast”/agile environment

Our values are:

• Precision Pace - Always owning and making things happen.

• Empathy – Always aware of others.

• Curiosity – Always asking why.

• Collaboration – Always one team, the Saga team!

Package Description

The standard benefits when you join Saga include: 

• Remote working available where possible

• 25 days annual leave plus bank holidays with the choice to buy a further 5 days annual leave per year 

• Free private medical insurance after 1 years' service 

• Workplace Pension 

• AXA Be Supported 

• A range of reductions and offers from leading retailers, travel groups and entertainment companies

About the Company

Having spent our first 30 years focused on travel, Saga launched Saga Magazine and developed home and motor insurance and financial services in the 1980s. Private medical and pet insurance followed in the 1990s, along with the launch of our own cruise ship operation. The strength of the Saga brand provides the Group with the ability to develop in-house or partner with suppliers to offer our customers and members highly differentiated, competitively priced products which meet their evolving needs.

Saga exists to help our customers and members lead the life they want to lead. To succeed in this, we know that the most important thing to do is to listen to our customers and members. At the heart of our business model is our drive to know more about our customers’ wants and needs so we are best placed to serve them.

Applying this approach over the past 70 years has enabled us to become the UK's specialist provider of products and services to people aged over 50 in the UK. The Saga brand has become one of the most recognised and trusted brands amongst UK consumers in this demographic and is recognised for its high quality products and exceptional standards of service. These include cruises and holidays, insurance, personal finance and the Saga Magazine.

When you join Saga you will see that we are committed to treating all employees fairly and to offering equal opportunities in all aspects of employment and advancement.

We value diversity not just because it is the right thing to do, but because diverse teams perform better. Creating a culture in which everyone feels welcome and offering equal opportunities in all aspects of employment and advancement is incredibly important to us. Fair consideration is given to applications from all applicants, including those with disabilities and those over who are over 50 as we are champions of age inclusivity.

We are an official Disability Confident Committed employer and ensure that our recruitment process is inclusive and accessible and we will make reasonable adjustments as required.

We are a member of the 30% Club and partner with Women Ahead which offers us a fantastic opportunity to take part in a leading, global, cross-company, leadership mentoring scheme to champion female talent.

We are a signatory of the Armed Services Covenant and have received a Silver Award from the Employer Recognition Scheme. 

To all recruitment agencies: Saga does not accept agency CVs unless specifically engaged on the role by the HR Recruitment Team. Please do not forward CVs to our recruiters, employees or any other company location. Saga is not responsible for any fees related to unsolicited CVs.

#L1-Hybrid

Saga Group