Manager - Data Science

11 Minutes ago • 7 Years + • Data Analysis

Job Summary

Job Description

Collaborate with stakeholders to translate requirements into Data Science solutions. Analyze complex datasets, design and implement machine learning models, and perform data wrangling. Utilize R, Python, and other tools for data manipulation and model development. Demonstrate expertise in data modeling, storytelling, and visualization, communicating technical insights effectively to diverse groups. The role requires a minimum of 7 years' experience in the service industry.
Must have:
  • Collaborate with stakeholders across business groups to understand the strategic goals and be able to translate requirements into Data Science solutions
  • Analyze complex datasets to identify insights and ultimately design and implement machine learning models to solve business problems
  • Analyze large volumes of structured and unstructured data sets and perform data wrangling and analysis techniques to effectively assess data quality
  • Using R, Python (Pandas, NumPy libraries) or an equivalent analysis tool, design and implement efficient and scalable code for data manipulation and model development
  • Demonstrate expertise in three core pillars of data science tool kit - Data Modeling & Transformation, Data Storytelling and Data Visualization
  • Builds, calibrates, and tests machine learning models (classification, regression, clustering)
  • Perform feature creation, data cleansing, re-expression
  • Conduct exploratory data analysis, intuitive presentation of findings
  • Communicate technical analysis and insights to a broader stakeholder group in an easy and concise manner
  • Minimum 7 years’ experience in service industry
Good to have:
  • Adaptable communicator, facilitator, influencer, and problem solver
  • High attention to detail
  • Good relationship skills
  • Proven ability to work on own initiative as well as in a team
  • Ability to multi-task and prioritize time effectively
Perks:
  • Holidays (As Per the location)
  • Shared Transport (Provided the address falls in service zone)

Job Details

Number of positions: 1

What can you expect?

1. Collaborate with stakeholders across business groups to understand the strategic goals and be able to translate requirements into Data Science solutions

2. Analyze complex datasets to identify insights and ultimately design and implement machine learning models to solve business problems.

3. Analyze large volumes of structured and unstructured data sets and perform data wrangling and analysis techniques to effectively assess data quality.

4. Using R, Python (Pandas, NumPy libraries) or an equivalent analysis tool, design and implement efficient and scalable code for data manipulation and model development.

5. Demonstrate expertise in three core pillars of data science tool kit - Data Modeling & Transformation, Data Storytelling and Data Visualization.

  • Machine Learning: builds, calibrates, and tests machine learning models (classification, regression, clustering)
  • Transformation: feature creation, data cleansing, re-expression
  • Visualization: exploratory data analysis, intuitive presentation of findings
  • Data Science storytelling in Power BI, PowerPoint and other platforms

7. Communicate technical analysis and insights to a broader stakeholder group in an easy and concise manner.

What is in it for you?

  • Holidays (As Per the location)
  • Shared Transport (Provided the address falls in service zone)

We will count on you for:

  • Teamwork
  • Communication and Influence
  • Supporting change
  • Developing self and mentoring others

Eligibility:

  • Minimum 7 years’ experience in service industry

What makes you stand out?

  • Adaptable communicator, facilitator, influencer, and problem solver
  • High attention to detail
  • Good relationship skills, Proven ability to work on own initiative as well as in a team
  • Ability to multi-task and prioritize time effectively

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About The Company

Marsh McLennan (NYSE: MMC) is the world's leading professional services firm in the areas of risk, strategy and people. The Company's 76,000 colleagues advise clients in over 130 countries. With annualized revenue approaching $17 billion, Marsh & McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh advises individual and commercial clients of all sizes on insurance broking and innovative risk management solutions. Guy Carpenter develops advancedrisk,reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations meet the health, wealth and career needs of a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients.

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