Data Scientist

Zurich Cover-More; Mumbai; Hybrid; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Mediclaim insurance cover

Group personal accident insurance

Flexible and compressed work weeks

Hybrid working options

21 annual leave days

6 sick leave days

12 public holidays

Birthday/anniversary day off

Job summary

Zurich Cover-More is seeking a data science professional to build, refine, and deploy machine learning models that drive predictive analytics and operational insights. You will work with structured and unstructured data, apply robust statistical methods, and collaborate with global teams to deliver scalable data workflows and robust analyses.

You should have 3+ years in data science, a master's in a related field, strong Python/R skills, and experience with SQL databases, cloud platforms

Qualifications

• Master's degree (or equivalent) in Statistics, Data Science, Computer Science or related field.
• 3+ years of industry experience in data science, advanced analytics, or ML.
• Experience working with offshore or globally distributed teams is a plus.
• Strong Python and/or R skills for feature engineering, model training, and reporting.
• Solid knowledge of ML algorithms (logistic regression, random forests, gradient boosting).
• Experience with SQL databases and data files for analysis and reporting.
• Familiarity with cloud platforms such as Azure and/or AWS.
• Knowledge of Git and Docker for code management and deployment.

Responsibilities

• Build, refine, and deploy ML models to support predictive analytics and insights.
• Explore structured and unstructured data to identify trends and opportunities.
• Apply statistical and algorithmic techniques for actionable outputs.
• Develop scalable data workflows in collaboration with data engineering teams.
• Clean, transform, and integrate data from multiple sources for analysis.
• Support feature engineering and exploratory data analysis (EDA).
• Query and optimize SQL databases and data files to meet business needs.
• Collaborate with a globally distributed team and communicate progress clearly.
• Translate complex findings into actionable recommendations for stakeholders.
• Produce accessible reports and presentations communicating value and limitations.
• Contribute to best practices in experimentation, model governance, and data science methods.
• Engage with remote collaboration tools and asynchronous workflows.

Skills

Python

R

SQL

Machine learning

Data mining

Statistical modeling

Bayesian statistics

Data visualization

Azure / AWS

Git

Docker

Spark / Hadoop

Education

Master's degree in Statistics, Data Science, Computer Science

Tools

Docker

Git

Azure

AWS

Job description

Job Description

Are you ready to grow your career in our global tech hub?

Job Type: Permanent - Full Time

Location: Mumbai

Job Category: IT

Zurich Cover-More Group helps people travel safely across the globe every day. We are there at every step of a traveller’s journey, to keep them safe and help them out if something goes wrong. We are committed to providing reliable, fast, flexible and bespoke services for our customers as well as the many well-known brands we partner with, such as travel agencies, airlines, banks and major sporting clubs!

In the post-pandemic world, travel insurance is more important than ever. We are committed to delivering an exceptional service for our customers and we want you to be part of that journey.

So, what’s the job?

• You’ll build, refine, and deploy machine learning models to support predictive analytics, customer insights, and operational optimization.
• You’ll explore and analyze structured and unstructured datasets to identify trends, drivers, and opportunities for business impact.
• You’ll apply statistical and algorithmic techniques, including data mining and visualization, to uncover actionable insights and opportunities.
• You’ll develop scalable data workflows in close collaboration with data engineering teams, working effectively with remote colleagues across different geographies and time zones.
• You’ll collate, clean, and transform data from multiple sources to create robust, well-structured datasets for analysis and modelling.
• You’ll support feature engineering and exploratory data analysis (EDA) activities to prepare data for machine learning and advanced analytics initiatives.
• You’ll fluently query, manage, and optimize SQL databases and data files to support analytical and business requirements.
• You’ll work effectively within a globally distributed team, proactively communicating progress, challenges, and outcomes across time zones.
• You’ll translate complex technical findings into clear, actionable recommendations for product, business, and leadership stakeholders across multiple locations.
• You’ll produce accessible, non-technical reports and presentations that communicate both the value and limitations of analytical work.
• You’ll contribute to best practices in experimentation, model governance, feature development, and data science methodologies.
• You’ll engage confidently with virtual collaboration tools and asynchronous ways of working to maintain strong team alignment and effectiveness.
• You’ll stay up to date with developments in data science, machine learning, and adjacent fields to ensure outputs remain relevant, innovative, and impactful.

And what are we looking for?

• You’ll hold a Master's degree (or equivalent) in Statistics, Data Science, Computer Science, or a related field.
• You’ll bring 3+ years of industry experience in data science, advanced analytics, and/or machine learning.
• You’ll have prior experience working in or alongside offshore, distributed, or globally dispersed teams, which will be considered a strong advantage.
• You’ll demonstrate strong proficiency in Python and/or R, including feature engineering, model training, ad hoc simulations, and reporting.
• You’ll possess solid knowledge of common machine learning algorithms, such as Logistic Regression, Random Forests, Gradient Boosting, and Unsupervised Learning techniques.
• You’ll apply working knowledge of Bayesian statistics, including concepts such as posterior updates and Bayesian networks.
• You’ll confidently use SQL databases and structured data files to support analysis, modelling, and reporting activities.
• You’ll have experience working with cloud platforms such as Microsoft Azure and/or Amazon Web Services (AWS).
• You’ll be familiar with code management and DevOps tools, including Git and Docker.
• You’ll have experience deploying data science and machine learning solutions into production environments.
• You’ll bring exposure to architecture design and cross-functional collaboration with IT and engineering teams.
• You’ll have experience with parallel computing frameworks such as Hadoop, Spark, or similar technologies.
• You’ll be a self-starter who takes ownership, works proactively, and delivers high-quality results with minimal day-to-day supervision.
• You’ll communicate clearly and proactively, keeping remote stakeholders informed, aligned, and engaged throughout projects.
• You’ll be comfortable navigating ambiguity and working independently across different time zones and global teams.
• You’ll be able to bridge the gap between technical complexity and business requirements, tailoring communication for diverse global audiences.
• You’ll be collaborative, curious, and committed to continuous learning and professional development.
• You’ll be enthusiastic about sharing knowledge and helping others grow, whether collaborating with colleagues locally or across the world.

So, why choose us?

We value optimism, caring, togetherness, reliability and determination.

We have more than 2600 employees worldwide: we’re a global group of digital natives, actuaries, marketers, doctors, nurses, case managers, claims specialists, finance experts and customer service professionals. We share a global mission to look after travellers, at every step of their journey.

Job flexibility. We understand the importance of making sure that work fits into your life, not the other way around. Our hybrid work week policy ensures our employees maintain work-life balance with the flexibility of 3 days in the office and 2 days working from home.

Career growth. We want you to continue to learn, develop and bring your ideas to the table. We want to hear what you think, and we want you to work with the business - not for the business!

Diversity and inclusion. We respect who you are and thoroughly embrace diversity. So whatever walk of life you wander, just be you and come as you are.

Take the time you need, for you and your community. We encourage you to take the time you need, when you need it. We offer regular annual and personal leave benefits along with anniversary leave, covid leave (to get vaccinated and for when you’re sick), volunteer leave and a comprehensive paid parental leave scheme.

We also offer some other perks including:

• Mediclaim insurance cover in case of any health emergency
• Coverage under group personal accident insurance
• Flexible and compressed work weeks and hybrid working options.
• Generous range of paid leave – 21 annual leave days, 6 sick leave days, 12 public holidays
• An extra day off for you to take on your birthday or your annual work anniversary.