Manager - Data Scientist (Open)

to give everyone real confidence to put their money to work.

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.

Job Purpose:

Manager - Data Scientist

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 developmentfrom 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-tuning

  ,

  dense neural networks

  , and custom

  neural network design

  using frameworks such as

  TensorFlow

  ,

  Keras

  ,

  PyTorch

  ,

  DeepAI

  , 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.

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:

Embrace Change:

Deliver Results:

• 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.