The Data Scientist will rapidly develop and operationalise analytical datasets metrics and models that power early PULSE use cases. The role is focused on speed to valueturning data into decision ready insights that make PULSE immediately useful and visibly different while ensuring solutions are scalable and production ready for future phases.
Key Responsibilities
Analytics for Quick Wins
Build analytical datasets and models supporting early PULSE use cases including:
Productivity Cockpits and role based insights
Volume Vault and work volume reconciliation
Overtime shrinkage and shift level performance insights
Persona led dashboards and early AI driven recommendations
Prioritise minimum viable but robust analytics that deliver fast impact and manager trust.
Insight & Model Development
Create descriptive diagnostic and early predictive models that surface clear drivers of productivity capacity and cost.
Engineer metrics and features that are simple explainable and actionable for business users.
Prepare the analytical foundation for progression towards nudges forecasting and decision support.
Operationalisation & Architecture Adoption
Work closely with Data and Solution Architects to operationalise models and insights into the PULSE platform.
Ensure analytics are production ready monitored and reusable across additional use cases.
Contribute to architecture adoption by aligning models to common data structures and patterns.
Trust Quality & Responsible Use
Embed validation monitoring and data quality checks to ensure early insights are trusted.
Apply ethical and responsible AI principles particularly when working with workforce and behavioural data.
Support light weight governance and documentation without slowing delivery.
Collaboration & Delivery.
Partner with product owners data engineers and business stakeholders to rapidly iterate from hypothesis to live insight.
Support pilots demos and early roll outs that clearly showcase PULSEs value and novelty.
Key Skills & Experience
Strong experience as a Data Scientist delivering analytics or AI solutions in large enterprise environments (financial services preferred).
Proven ability to deliver fast business relevant insights in early stage or scaling platforms.
Strong skills in:
Feature engineering and analytical modelling.
Translating data into business ready metrics and insights.
Supporting production analytics and model lifecycle.
Experience working with operational productivity or workforce data.
Comfortable working in agile fast paced programme focused on early value delivery.
If you are excited to grab this opportunity please apply directly or share your CV atand
Greetings from Maneva! Job Description Job Title - Data Scientist Experience - 8 - 15 Years Location - Hyderabad / Pune Notice - Immediate to 15 days Requirements:- The Data Scientist will rapidly develop and operationalise analytical datasets metrics and models that power early PULSE use cases. ...
Greetings from Maneva!
Job Description
Job Title - Data Scientist
Experience - 8 - 15 Years
Location - Hyderabad / Pune
Notice - Immediate to 15 days
Requirements:-
The Data Scientist will rapidly develop and operationalise analytical datasets metrics and models that power early PULSE use cases. The role is focused on speed to valueturning data into decision ready insights that make PULSE immediately useful and visibly different while ensuring solutions are scalable and production ready for future phases.
Key Responsibilities
Analytics for Quick Wins
Build analytical datasets and models supporting early PULSE use cases including:
Productivity Cockpits and role based insights
Volume Vault and work volume reconciliation
Overtime shrinkage and shift level performance insights
Persona led dashboards and early AI driven recommendations
Prioritise minimum viable but robust analytics that deliver fast impact and manager trust.
Insight & Model Development
Create descriptive diagnostic and early predictive models that surface clear drivers of productivity capacity and cost.
Engineer metrics and features that are simple explainable and actionable for business users.
Prepare the analytical foundation for progression towards nudges forecasting and decision support.
Operationalisation & Architecture Adoption
Work closely with Data and Solution Architects to operationalise models and insights into the PULSE platform.
Ensure analytics are production ready monitored and reusable across additional use cases.
Contribute to architecture adoption by aligning models to common data structures and patterns.
Trust Quality & Responsible Use
Embed validation monitoring and data quality checks to ensure early insights are trusted.
Apply ethical and responsible AI principles particularly when working with workforce and behavioural data.
Support light weight governance and documentation without slowing delivery.
Collaboration & Delivery.
Partner with product owners data engineers and business stakeholders to rapidly iterate from hypothesis to live insight.
Support pilots demos and early roll outs that clearly showcase PULSEs value and novelty.
Key Skills & Experience
Strong experience as a Data Scientist delivering analytics or AI solutions in large enterprise environments (financial services preferred).
Proven ability to deliver fast business relevant insights in early stage or scaling platforms.
Strong skills in:
Feature engineering and analytical modelling.
Translating data into business ready metrics and insights.
Supporting production analytics and model lifecycle.
Experience working with operational productivity or workforce data.
Comfortable working in agile fast paced programme focused on early value delivery.
If you are excited to grab this opportunity please apply directly or share your CV atand