Data Science Solution Specialist

Posted 8 Hours Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Fintech • HR Tech • Insurance • Consulting
The Role
Design, build, and maintain data models, analytics pipelines, and statistical models; perform EDA and validate analyses; ensure data quality and governance; produce visualizations and reports; collaborate with analysts, engineers, and stakeholders to deliver scalable, production-ready data solutions.
Summary Generated by Built In
Company:Marsh

Description:

We are seeking a talented individual to join our Marsh RISK team at Marsh ASIA. This role will be based in Manila, Philippines. This is a hybrid role that has a requirement of working at least three days a week in the office. Marsh RISK works with stakeholders across the organization to discover, define, design and deliver data solutions that drive business impact. Our team translates complex data into actionable insights, enables improved revenue growth, client retention, operational efficiency, and data quality standards.

The Data Science Solution Specialist plays a critical role in building analytical models and delivers data-driven insights to solve business problems. Curate and maintain high-quality data assets to support analytics across the organization. Collaborate with business analysts, engineers, and stakeholders to translate data into actionable recommendations and scalable analytics solutions. The ideal candidate combines strong technical expertise with business acumen and excellent communication skills to collaborate effectively across teams in Marsh ASIA.

We will count on you to:

  • Curate, validate, and maintain data quality standards across regional and global databases
  • Develop and maintain data models that support analytical and reporting requirements
  • Conduct exploratory data analysis (EDA) and statistical analysis to identify patterns and insights
  • Develop analytical and statistical models to address business problems and drive decision-making
  • Collaborate with Business Analysts, Data Engineers, and stakeholders to define requirements and analytical approaches
  • Build scalable analytics pipelines from data ingestion through reporting and visualization
  • Develop and maintain scripts and notebooks for data processing, analysis, and reporting
  • Work with development and architecture teams to design robust, scalable solutions
  • Validate analysis, test assumptions, and optimize for accuracy and reliability
  • Create data visualizations and reports communicating findings to technical and non-technical audiences
  • Participate in code reviews and maintain high development standards
  • Troubleshoot data quality issues and resolve technical challenges
  • Document methodologies, approaches, and data lineage for knowledge transfer
  • Stay current with emerging data science tools and techniques
  • Maintain security, integrity, and business continuity controls

What you need to have: 

  • Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, Physics, Engineering, or related field
  • 7+ years in data science, analytics, or related analytical roles
  • Strong proficiency with SQL and NoSQL databases.
  • Strong proficiency in Python
  • Data modelling and data mapping expertise
  • Experience with data quality, governance, and curation principles and building ETL pipelines
  • Hands-on experience with statistical analysis, hypothesis testing, experimental design
  • Experience with data visualization tools (Tableau, Qlik, Power BI, or similar)
  • Proficiency with version control systems (Git, SVN)
  • Strong debugging and problem-solving skills
  • Familiarity with Agile development practices
  • Experience with industry-accepted design standards
  • Strong interpersonal and communication skills
  • Ability to explain complex technical concepts to business audiences
  • Ability to work in geographically dispersed teams

What makes you stand out?

  • Understanding of the industry and business processes to contextualize data insights effectively.
  • Capability to translate technical findings into business language that stakeholders can understand and act upon.
  • Excellent verbal and written communication skills to present insights clearly to both technical and non-technical audiences.
  • Proven ability to work collaboratively across teams, including IT, data science, and business units, to align data initiatives with organizational goals.

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.

Marsh Risk 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 Marsh Risk, visit marsh.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.

Skills Required

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering, or related field
  • 7+ years in data science, analytics, or related analytical roles
  • Strong proficiency with SQL and NoSQL databases
  • Strong proficiency in Python
  • Data modelling and data mapping expertise
  • Experience with data quality, governance, and curation principles and building ETL pipelines
  • Hands-on experience with statistical analysis, hypothesis testing, and experimental design
  • Experience with data visualization tools (Tableau, Qlik, Power BI, or similar)
  • Proficiency with version control systems (Git, SVN)
  • Strong debugging and problem-solving skills
  • Familiarity with Agile development practices
  • Strong interpersonal and communication skills; ability to explain complex technical concepts to business audiences
  • Understanding of industry and business processes to contextualize data insights
  • Proven ability to translate technical findings into business language and present to non-technical stakeholders

Marsh McLennan Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.

  • Leave & Time Off Breadth Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
  • Healthcare Strength Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
  • Retirement Support Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.

Marsh McLennan Insights

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The Company
HQ: New York, NY
78,000 Employees
Year Founded: 1871

What We Do

Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.

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