Data Scientist

Company:

Marsh

Description:

Data Scientist

We are seeking a talented individual with strong Python development skills to focus on Fast Track changes, and longer term automation of current and future global facilities with the respect of the Broker Submission Form to join our Data Science team at Marsh. This role will be based in London. This is a hybrid role that has a requirement of working at least three days a week in the office.

A Data Scientist is an established, independent individual contributor, whose work has a direct impact on the team's outcomes. The Data Scientist is motivated to drive the creation of enterprise solutions in the Data and AI discipline. This individual will participate in modelling and development to support corporate initiatives, strategic programs, and new analytics tools and solutions through the use of descriptive, predictive, prescriptive modelling, machine learning, and complex mathematical modelling/tool development.

We will count on you to:

Primary focus on FastTrack:

BAU monitoring and improvements:

• Testing and rigor before new releases
• Streamlining and improving code, including GiTHub
• Monitoring Virtual Machine and validating automated emails

Expansion plan/needs:

• Business Critical changes – live example being Taiwan business
• UW Framework changes e.g. New LoB; Qualtrics question set changes
• Qualtrics changes and subsequent changes on python code
• Local order - Email changes
• London order – expansion to include London Access placements, ultimately remove need for Excel based template
• JSON data for Capita to feed into WorkWatch system
• 2024 Renewal year – necessary amendments, and potential new markets introduced
• Involved in planning for future changes and impact on logic
• Assist in the aggregation and streamlining of reporting to underwriters

What you need to have: 

• Translates business requirements in to Data Science solutions leveraging strong business acumen
• Demonstrates expertise in three core pillars of data science tool kit - Data Modelling & Transformation, Data Storytelling and Data Visualization
  • Machine Learning: builds, calibrates, and tests machine learning models
  • Transformation: feature creation, data cleansing, re-expression
  • Visualization: exploratory data analysis, intuitive presentation of findings. App development
• Lead the projects/ideas associated with machine learning and AI
• Responsible for communicating complex data in a simple and actionable way
• Proactive learning style and thirst for understanding of the latest developments in machine learning and AI.
• Problems solving within the constraints of a corporate IT environment

What makes you stand out:

• Strong Python developer skills
• Java Script

What qualifications are preferred but not required?

• Masters Degree in Data Science or equivalent essential

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.

#Hybrid

Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, civil partnership status, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, 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. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at reasonableaccommodations@mmc.com.

Marsh McLennan 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 McLennan 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.