Data Scientist Manager

London Stock Exchange Group; Bengaluru; On-site; INR 2,500,000 - 5,500,000; Full time

Benefits offered by this job

Healthcare benefits

Retirement planning

Paid volunteering days

Job summary

London Stock Exchange Group is seeking a Data Scientist Manager to lead the design, development, and optimization of data-driven solutions for Sales Order Management. You will guide a team of data scientists, drive AI adoption, and deliver automated processes that improve order quality and reduce cycle times.

The role requires 5–10 years in data science with 3+ years in people management, and hands-on experience across Python, ML frameworks, process mining, RPA, and ERP systems in a global O2C

Qualifications

• 5–10 years in Data Science, analytics, or automation.
• 3+ years of people management experience.
• Experience supporting Sales Order Management or Order-to-Cash processes.
• Proven track record delivering measurable outcomes through analytics.

Responsibilities

• Lead and mentor a team of Data Scientists and analysts.
• Partner with Sales, Finance, Technology, and Compliance executives.
• Present analytics findings and business cases to senior leadership.
• Develop and govern a business rules engine strategy for SOM.
• Identify automation opportunities and drive process improvements across SOM.

Skills

Python

SQL

Pyspark

Data visualization

Scikit-learn

XGBoost

TensorFlow

PyTorch

AWS Glue

Process mining

RPA platforms

ERP systems

Tools

Celonis

UiPath

Power Automate

Automation Anywhere

Blue Prism

Siebel

CPQ

SAP

Oracle

Salesforce

Job description

Data Scientist Manager LSEG is one of the world’s leading providers of financial markets infrastructure and delivers financial data, analytics, news and index products to more than 40,000 customers in over 170 countries. We help organization’s fund innovation, handle risk and build jobs by partnering with customers at every point in the trade lifecycle: from advising their pre-trade decisions and completing trades to raising capital, clearing and optimization. Data Scientist Manager will lead the design, development, and optimization of data-driven solutions that enhance Sales Order Management (SOM) processes. This role would drive business rules engine program, predictive analytics, AI adoption, workflow automation and operational excellence initiatives that improve order quality, reduce cycle times, and increase automation rates. Successful candidate will combine expertise in data science, process mining, business rules engines, workflow automation, and operational analytics to find improvement opportunities, deliver scalable solutions, and lead a team of data scientists and analysts supporting global Order-to-Cash (O2C) operations.

Key Responsibilities

• Leadership & Stakeholder Management
  • Lead and mentor /coach a team of Data Scientists, Change and Quality Specialists
  • Partner with senior stakeholders Sales, Customer Operations, Finance, Technology, and Compliance teams
  • Present recommendations, business cases, and analytical findings to senior leadership
  • Drive a data-driven culture across Sales Order Management organization
• Business Rules Engine Management
  • Define and own the strategy for the SOM BRE
  • Partner with business stakeholders i.e., SOM COE Quality Team, SOM Experts, Finance, DLM to translate operational requirements into automated decision rules
  • Establish governance, version control, testing, and audit-ability standards for business rules
  • Continuously optimise rule performance through structured monitoring and feedback
  • Reduce defects and rework by embedding proactive controls earlier in the order lifecycle
• Process Improvement & Operational Excellence
  • Analyze end-to-end processes to identify bottlenecks, inefficiencies, and automation opportunities
  • Deliver on the Automation and Process Improvement road map for SOM to drive efficiency along with focus on cycle time reduction, quality improvement, and productivity enhancement
  • Use process mining and operational analytics to identify root causes and drive improvements
  • Develop KPI’s and operational dashboards to measure performance of the team
• Data Science & AI Models
  • Lead the design and deployment of predictive and prescriptive models to optimise order processing, mitigate risk and improve decision making
  • Develop anomaly detection models to identify order quality issues and compliance risks
  • Apply appropriate techniques to improve decision‑making and exception management
  • Drive adoption of advanced analytics, including emerging AI/LLM-based solutions, across SOM operations
• Automation & Intelligent Operations
  • Identify opportunities to automate manual processes using machine learning, RPA, and workflow technologies
  • Collaborate with process owners, technology teams, and automation developers to implement solutions
  • Measure automation effectiveness and drive adoption across operational teams
  • Support digital transformation initiatives within Order-to-Cash operations

Experience

• Experience 5 to 10 years’ experience in Data Science, Advanced Analytics, Process Optimization, or Automation.
• 3 years of people management experience.
• Experience supporting Order-to-Cash (O2C), Sales Order Management, Customer Operations.
• Proven experience delivering measurable business outcomes through analytics and automation.

Technical Skills

• Proficiency in Python, SQL, Pyspark and data visualization tools (Power BI, Tableau).
• Experience with machine learning frameworks such as Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Knowledge of AWS Glue
• Experience with process mining tools such as Celonis or Process Intelligence platforms.
• Familiarity with workflow automation and RPA platforms such as UiPath, Power Automate, Automation Anywhere, or Blue Prism.
• Experience working with ERP systems such as Siebel, CPQ, SAP, Oracle, Salesforce.

Benefits

• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Equal Opportunity

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law.

Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law.

Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Career Stage: Manager

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Experience Level Mid Level