228 Data Science Manager jobs in Chennai

JOB DETAILS

Job ID: 33236

Location: Chennai, IN

Area of interest: Governance, Risk Management & Compliance

Job type: Regular Employee

Work style: Office Working

Opening date: 31 Aug 2025

Job Summary

Job Summary :

Our Data Analysts use data to build the best customer experiences and love helping to make better business decisions, by using diverse sets of data. We're looking for brilliant minds who find meaning in structured and unstructured data, with business domain expertise to translate commercial goals into data-based deliverables to solve the world's most complex challenges.

About our Digital Channels & Data Analytics (DCDA) team

They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They're responsible for being an expert in digital products and services and partner with our sales and coverage teams.

About Corporate & Investment Banking (CIB)

For more than 170 years we've support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20,000 clients in the world's fastest-growing economies and most active trade corridors.

Key Responsibilities

Data analysis and visualisation including:

• Support the development and execution of our data analytics strategy and roadmap.
• Develop and deploy analytical models to produce analytical solutions and provide insights that support business decisions, including coalition data viewer and expand data viewer.
• Translate business challenges into statistical problems and data analysis.
• Use data analysis techniques including trend analysis, regression analysis and the Monte Carlo simulation.
• Use analytical tools including Azure, Python and SQL to analyse datasets to gain key actionable insights to resolve business problems.
• Present key findings, insights and business recommendations to stakeholders using data storyboarding and visualisation techniques.
• Promote analytics-driven decision-making processes across our business to drive awareness of data led decision making and business opportunities.
• Build and automate data visualisation dashboards using tools such as Tableau and Power BI to enable stakeholder self-service.
• Partner with stakeholders to identify and optimise analytical tools including Dataiku, Python and Azure.

Skills and Experience

• Statistical analysis.
• Agile project management.
• Big data management and analytics.
• Data monetisation.
• Financial mathematics.
• Business acumen entry.
• Emerging technologies.
• Client experience, behaviours and preferences.
• Financial services regulatory experience.
• Data governance and management.

Qualifications

NA

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Job ID: 40277

Location: Chennai, IN

Area of interest: Technology

Job type: Regular Employee

Work style: Office Working

Opening date: 18 Sept 2025

Job Summary

A Data Analyst interprets data and helps turn it into information that enables or improves a business process, thus affecting business decisions. Data Analysts gather information from various sources and interpret patterns and trends to make it digestible for others. They must have strong analytical skills, but above all have a burning curiosity to understand, and make sense of, data. They will work closely with:

• Data Managers, who define the team's business requirements, objectives, strategy and priorities
• Data Engineers, who design and implement the processes by which data is collected and generated
• Data Quality Analysts, who define data quality control requirements and oversee these on a day to day basis to ensure constant system health
• Upstream data teams, who provide the data that the analyst is sourcing
• Downstream Process Owners, who depend on the data to perform their business function

Data Analysts spend much of their time working with stakeholders to define data requirements, data transformation logic and supporting the delivery of these requirements from start to finish. They are experts in profiling data to understand its contents and will also have a working understanding of the business process or product that generated it in the first place. Data Analysts are the entry point to the FCC Data Team for most external stakeholders and as such will have a broad, but still detailed, understanding of all the data available and constantly seek opportunities for innovation and expansion. They are the primary liaison between up- and downstream teams

Key Responsibilities

• Define clear, concise and detailed business requirements for FCC Data that clearly document the data elements and formats that are needed, outline detailed transformation expectations and list the critical data elements that will enable downstream processes to operate effectively
• Create and maintain documentation that articulates the process by which data is extracted, transformed and loaded in FCC that can be shared and understood by others
• Work with downstream FCC business process owners to constantly improve, refine and expand the datasets to improve the quality and effectiveness of those processes, as well as help them to make sense of the data, providing training where required, and derive meaningful BI / MI
• Conduct detailed analysis of upstream changes that impact FCC data – for example the introduction of a new products – to ensure that requirements remain up to date and define any new ones as necessary
• Identify areas of overlap or data gaps that can lead to increased value, either by eliminating redundant processes or expanding existing data models
• Produce accurate and insightful dashboards and reports detailing the health, content and insights available from the data, making that actionable for stakeholders and meaningful for management decision making

Qualifications

• Minimum 10+ years of professional experience as business change analyst in financial markets related banking products
• Degree (or similar) in Engineering and MBA is preferred
• A strong understanding of Cash Management systems or Payment Systems or Core Banking functionality / data flows – will be desired
• Good understanding of systems and data flows in Financial Crime Compliance / Anti Money Laundering etc. will be an added advantage
• Experience in analytical roles with a large technical component, although not necessarily from a purely data perspective (e.g. they may have prior working knowledge of upstream or downstream processes that is relevant from a data perspective)
• Evidenced ability to execute and enhance a process to maintain data transformation requirements over time and constantly seek to improve these

Skills and Experience

• Able to seamlessly move and translate between detailed functional data requirements and non-technical general terms
• The ability to write clear, concise and detailed business requirements that can be understood by data engineers and developers as well as business stakeholders
• Strong understanding of Cash Management systems or Payment Systems or Core Banking functionality / data flows – will be desired
• Competence with data profiling tools and methodologies (SQL at a minimum), with a preference for dedicated and sophisticated tools such as Paxata or Tableau
• Familiar with data documentation, delivery workflow and defect tracking tools – JIRA and Confluence in particular
• Demonstrated experience in handling and understanding large datasets and relational databases
• High quality written and verbal communication skills, with the ability to focus on multiple initiatives and data subjects (types of data or varying sources of data) at the same time
• Evidence a very strong attention to detail, reflecting the very low tolerance for error in FCC data

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Job Description:

Key responsibilities:

1. Modeling & Machine Learning

2. Data-Driven Business Strategy

3. Analytics and Experimentation

Technical Skills:

As the Manager of Data Science at Lightcast, you will lead and grow a team of data scientists and machine‑learning engineers to design, build, and productionize analytics and ML solutions that drive business outcomes. You will be a hands‑on technical leader who balances people management, project delivery, and strategic direction—partnering with product, engineering, and business stakeholders to scale reliable, explainable, and measurable data products.

• Coach, mentor, develop and lead a high performing data science team.
• Plan projects, prioritize work, allocate resources, and track milestones to ensure timely delivery of data science projects and deliverables.
• Provide technical guidance on model selection, model architecture, feature engineering, evaluation, and productionization.
• Ensure best practices for model monitoring, versioning, CI/CD and MLOps.
• Keep the team current with industry trends and appropriate new methods; sponsor prototyping and experimentation.
• Serve as a technical mentor and subject-matter expert for complex modeling problems.

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field (Master's/PhD preferred).
• 6+ years of experience in data science, machine learning, or analytics; 2+ years in a leadership or management role.
• Proven track record of deploying ML/AI products to production with measurable business impact.
• Expertise in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs).
• Skilled in statistical modeling, machine learning, and model efficiency techniques (e.g., quantization, distillation, pruning).
• Proficient in Python and SQL; experienced in information retrieval, semantic search, and data visualization.
• Knowledge of MLOps practices, model deployment, and maintenance in production environments.
• Familiar with GPU acceleration, distributed training, and cloud platforms (e.g., AWS).
• Strong foundation in software engineering best practices and performance optimization.
• Demonstrated leadership, project/resource management, and cross-functional collaboration skills.
• Excellent written and verbal communication abilities.

Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) with offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.

Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

Major Responsibilities:

Education & Experience:

JOB DETAILS

TCS present an excellent opportunity for MACHINE LEARNING

Job Location: Chennai (Only)

Experience required : 4-6 Yrs

Skills: Machine Learning

Technical/Functional Skills

Must Have Skills

• Predictive Modelling, ML pipelines & architecture, Python, Java and R, Machine learning frameworks (like Keras or PyTorch), Statistics, Data Structure, GCP is a preference.
• Must have deep background in NLP, Machine Learning, Deep Learning, Optimization, Algorithm and Software development - Supervised & Unsupervised Learning, Features & Labels, Decision Tree, Naïve Bayes, Gradient Descent, Linear &
• Logistic Regression, SVM, Kernel Methods, Neural Networks, Clustering & K-means Clustering
• Hands-on experience in Python, SQL , PySpark and Machine learning , Libraries, Google Cloud experience, including Big Query, Data Flow, and Apache Beam in cloud environment is expected.
• Building ML Models or delivering impactful customer- facing products
• Understanding of machine learning lifecycle and MLOps - Regression models – linear & non-linear, Classification models, Vectors, Gradient Descent & Cost function, Artificial Neural Networks (ANN) and Loss function