Manager - Data Scientist

2 weeks ago


Mumbai, Maharashtra, India M&G plc Full time ₹ 1,04,000 - ₹ 1,30,878 per year

We are M&G Global Services Private Limited (formerly known as 10FA India Private Limited, and prior to that Prudential Global Services Private Limited). We are a fully owned subsidiary of the M&G plc group of companies, operating as a Global Capability Centre providing a range of value adding services to the Group since 2003. At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

M&G Global Services has rapidly transformed itself into a powerhouse of capability that is playing an important role in M&G plc's ambition to be the best loved and most successful savings and investments company in the world.

Our diversified service offerings extending from Digital Services (Digital Engineering, AI, Advanced Analytics, RPA, and BI & Insights), Business Transformation, Management Consulting & Strategy, Finance, Actuarial, Quants, Research, Information Technology, Customer Service, Risk & Compliance and Audit provide our people with exciting career growth opportunities. Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

Job Description

Job Title

Manager - Data Scientist

Grade

2C

Level

Manager

Job Function

Digital Transformation

Job Sub Function

Investments & Research

Reports to

Assistant Vice President - Data Science

Location

Mumbai

Business Area

M&G Global Services

Overall Job Purpose

We are looking for a highly skilled Manager - Data Scientist to play a pivotal role in advancing our AI and ML initiatives within the asset management space. This role will focus on hands-on development of innovative data science solutions that enhance investment strategies and client engagement.

As a key contributor within the Data Science team, you will collaborate closely with cross-functional stakeholders across M&G Investments to translate business challenges into impactful analytical models. You will be responsible for designing and implementing advanced machine learning algorithms, contributing to the development of scalable AI products, and supporting the execution of our broader data science roadmap.

Key focus areas include leveraging large language models for investment research, developing sophisticated portfolio optimization algorithms, implementing advanced ESG analytics, and creating predictive models that enhance our investment decision-making capabilities across all asset classes.

Primary Key Responsibilities (Top 3-5 KRA)

  • Develop and deploy advanced machine learning models on Azure to extract actionable insights from large-scale, multi-structured datasets relevant to asset management.
  • Collaborate with internal and external stakeholders to drive end-to-end model development—from data exploration and feature engineering to validation, scoring, and production deployment within Azure ML pipelines.
  • Act as an individual contributor while working closely with cross-functional teams to ensure seamless integration of data science solutions into investment workflows and decision-making processes.
  • Continuously enhance model performance and scalability by leveraging Azure-native tools and services, ensuring alignment with business goals in portfolio optimization, ESG analytics, and predictive modeling.
  • Maintain high standards of documentation and reproducibility, contributing to a robust and transparent data science practice.

Additional Responsibilities :

  • Demonstrate strong proficiency in Python, with comfort using command-line tools for development and automation tasks.
  • Apply advanced deep learning techniques, including LLM fine-tuningdense neural networks, and custom neural network design using frameworks such as TensorFlowKerasPyTorchDeepAI, or equivalent.
  • Bring hands-on experience in delivering at least two NLP/text mining solutions, with a focus on extracting insights from unstructured financial and ESG data.
  • Lead or contribute to at least one end-to-end machine learning project, from data ingestion and model development to deployment and monitoring in production.
  • Exhibit strong SQL skills for efficient data extraction, transformation, and analysis across structured investment datasets.

Key Stakeholder Management

Internal

M&G Investments

External

NA

Knowledge, Skills, Experience & Educational Qualification

Knowledge & Skills (Must Have) :

  • Confidence & excellent communication
  • Experience of working with Azure DevOps
  • Experience of working with Databricks

Knowledge & Skills (Additional) :

  • Experience of using machine learning in Asset management/investment domain preferred
  • Experience of working with either AWS or Azure

Experience:

  •  At least 4+ years of real world experience working as a Data Scientist.

Educational Qualification:

  • Graduate/Masters in any discipline

M&G Behaviours relevant to all roles:

Inspire Others: support and encourage each other, creating an environment where everyone can contribute and succeed

Embrace Change: be open to change, willing to be challenged and able to adapt quickly and imaginatively to new ideas

Deliver Results: focus on performance, set high standards and deliver with energy and determination

Keep it simple: cut through complexity, keep the outcome in mind, keeping your approach simple and adapting your message to every audience

We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.


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