Senior Data Scientist

Company:Mercer

Description:

The MMB Analytics team is dedicated to building market-leading analytics solutions within the Employee Health and Benefits industry. We operate as trusted experts, leveraging data and advanced analytics to provide our clients with actionable insights that drive better outcomes for their employees and organizations.

Our team has grown significantly in recent years, and we are committed to continuing this growth by developing innovative products and deepening our understanding of industry data. We value collaboration, creativity, and a passion for solving challenging problems that have real-world impact.

As part of the team, you will contribute to shaping the future of analytics in health and benefits, working closely with cross-functional partners to deliver solutions that empower decision-making and improve outcomes.

We will count on you to:

• Classify, understand, and predict behavior patterns related to employee health and benefits, with a strong emphasis on utilizing health insurance data.
• Apply your expertise in machine learning and statistical modelling to develop robust, scalable solutions that enhance our business strategy and client offerings.
• Conduct exploratory data analysis and feature engineering to extract meaningful insights from complex datasets.
• Design, develop, and deploy machine learning models using Python and industry-standard ML frameworks.
• Validate and monitor model performance, ensuring accuracy, fairness, and reliability over time.
• Collaborate with data engineers, product managers, and business stakeholders to translate business problems into analytical solutions.
• Communicate findings and technical concepts clearly to both technical and non-technical audiences.
• Stay current with the latest research and advancements, proactively recommending new techniques and tools to enhance our analytics capabilities.
• Mentor junior data scientists and contribute to the continuous improvement of team processes and knowledge sharing.

What you need to have: 

• At least 4 years of academic or industry experience, designing and implementing ML models with a focus on predictive and behavioural analytics.
• Solid understanding of statistical methods, data preprocessing, feature engineering, and model evaluation techniques.
• Experience working with large, complex datasets, including data cleaning, transformation, and integration.
• Proficiency in Python and popular ML frameworks such as scikit-learn, Keras, PyTorch and TensorFlow.
• Ability to translate complex business problems into data-driven solutions.
• Excellent communication skills, with the ability to explain technical concepts to diverse audiences.
• Ability to maintain discretion and deal appropriately with confidential information.

What makes you stand out:

• Experience in the employee health and benefits, or in the health insurance industry.
• Experience in public health analytics.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, especially their ML and data services.
• Strong data manipulation and programming skills beyond Python, such as using R or SQL.
• Demonstrated ability to mentor and lead junior team members.
• Commercial awareness of how analytics drives business value in health and benefits.
• Curious, self-driven, and analytical approach to problem-solving.

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
• An opportunity to work in a fast-growing, innovative company with lots of room for progression and career growth;
• A fail-friendly environment that encourages learning and initiative;
• A yearly budget and the opportunity to build your flexible benefits package (up to 20% of your annual salary);
• 30+ days off (25 legal days off , 1 extra day off on your birthday, public holiday replacement days, extra buy/sell from your benefits budget);
• Performance Bonus scheme
• Matching charity contributions, charity days off, and the Pay it Forward charity challenge;
• Core benefits - Pension, Life and Medical Insurance, Meal Vouchers, Travel Insurance;
• We champion flexible working, and our mission is to help you find YOUR work-life balance, whether that's standard working, flex-time working, or working from home

Mercer is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Mercer, visit mercer.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.