Data Science Lead - 8 - 14 years -Python/SQL/Machine Learning- Gurgaon

Location: Gurgaon
Discipline: Data Science/Machine Learning
Job type: Permanent
Contact name: Nancy Thakur

Contact email:
Job ref: 40920
Published: 3 days ago


Data Scientist – 8-14 years – Python/SQL/Machine Learning - Gurgaon (Hybrid)

The Role will be responsible for leading the analytics engagement for one of our Insurance client. We are

looking for a high impact Analytics & Data Science leader to set the vision & strategy across business,

customer, marketing & data analytics for client. This position requires a strong understanding of digital

merchandise analytics, brand campaign analytics, customer segmentation, product performance and

experience running end-to-end analytics for large-scale organizations.

• Research, analyze, and present data as assigned.

• Develop detailed codes for data preparation and model scoring to be used in production.

• Prepare detailed documentation of predictive models and make oral presentations to team


• Assist in learning and development of new team members.

• Critically examine and deep dive into models.

• Identify and participate in continuous improvement initiatives

Location – Gurgaon (Hybrid)

Your Future Employer- A leading global operations management and analytics company serving industries including insurance, banking , healthcare, logistics etc.


  • Complete understanding of the current state of affairs and problem statement
  • Experience in data extraction and data manipulation in Python/R.
  • Data analysis experience in identifying major trends, univariate and bi-variate analysis.
  • Additional knowledge involving multi variate time series model is preferred.
  • Understanding of SAS/R modules is advantage
  • Experience in data control and data automation.
  • 9+ yrs of industry experience
  • Ability to manage team size of at least 1-2 members
  • SQL and Python
  • Project Management and Delivery
  • Data wrangling on large and complex databases
  • Experience maintaining ongoing processes
  •  Analytical Experience
  • - The candidate will be responsible to lead analytics & consulting assignments for an US Insurance client
  • with an objective to grow the account.
  • Leading & mentoring a team of 7-8+ senior analysts & consultants across marketing, business,
  • customer and data analytics
  • You will engage with the client’s senior leadership to drive the vision and roadmap of Data, Analytic &
  • Insights team
  • Ability to play and active role in contributing to the growth and future of the business vertical. Ability
  • to interface and network with the leadership and key decisions makers
  • Leverage data to help the Data, Analytics & Insights teams to get deep critical insights around product
  • performance, pricing strategies, marketing analytics and any other business/product goals
  • Establish credibility as a thought leader & a critical influencer of business strategy based on data
  • modelling and predictions


Requirements : 

  • Bachelor’s/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
  • 8+ years’ experience, preferably in analytics
  • Strong and in-depth understanding of statistical concepts
  • Prior experience in managing and delivering on end to end projects
  • Outstanding written and verbal communication skills


What is in for you

• Work on exciting projects at the cutting-edge of data science.

• Opportunity to hone your skills and expertise in a collaborative environment.

• Make a real impact with your solutions and innovations.

Reach us- If you feel that you are the right fit for the role please share your updated CV at

Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note: We receive numerous applications daily, making it challenging to respond to each candidate. If you do not hear back from us within a week, please assume your profile has not been shortlisted. Your patience is highly appreciated.

Profile Keywords- Data Science, Machine Learning, SQL, Analytics