Job Description

Ecity - Pt Park, Karnataka, India








Section
D&AI - CX COE,TVSM Industrial,SST
Job posted on
Aug 06, 2025
Employee Type
White Collar
Experience range (Years)
0 - 0

Group Company:

Tvs Motor

Designation:

Divisional Head - Data Science & Analytics

Office Location: E-City, Bangalore

Position description:

About TVS / Who are we

TVS Motor Company is a reputed two and three-wheeler manufacturer globally, championing progress through Sustainable Mobility with four state-of-the-art manufacturing facilities in Hosur, Mysuru and Nalagarh in India and Karawang in Indonesia. Rooted in our 100-year legacy of Trust, Value, and Passion for Customers and Exactness, we take pride in making internationally aspirational products of the highest quality through innovative and sustainable processes. We are the only two-wheeler company to have received the prestigious Deming Prize. Our products lead in their respective categories in the J.D. Power IQS and APEAL surveys. We have been ranked No. 1 Company in /the J.D. Power Customer Service Satisfaction Survey for consecutive four years. Our group company Norton Motorcycles, based in the United Kingdom, is one of the most emotive motorcycle brands in the world. Our subsidiaries in the personal e-mobility space, Swiss E-Mobility Group (SEMG) and EGO Movement have a leading position in the e-bike market in Switzerland. TVS Motor Company endeavours to deliver the most superior customer experience across 80 countries in which we operate.


For more information, please visit www.tvsmotor.com.

Group Company:

Norton Motorcycles

Designation:

Divisional Head - Data Science and Analytics
About Norton:

Norton is a premium motorcycle business operating out of UK. This global legacy brand has been revived after TVS Motor acquisition and is set for a global launch with a wide product range.
It will offer premium concierge like service to its customers across global geographies and multiple distribution models.

About the Role:

Position description:

+ The role cuts across data science and analytics projects across all customer journey stages of Discover, Shop, Buy and Own covering both business growth workstreams as well as Customer experience workstreams.
+ Building and managing team of data scientists, analysts and BI developers and participation in end-to-end ML projects development and deployments that require feasibility analysis, design, development, validation, and application of state-of-the art data science solutions.
+ Provide leadership to establish world-class ML lifecycle management processes.
+ You will have to push the state of the art in terms of the application of NLP, Text Information Retrieval, Recommender Systems, Social Media Analytics, Object Detection and Tracking, and Voice AI solutions across customer experience projects.
+ Leverage and enhance applications utilizing Deep Learning Neural networks for use cases including text mining, computer vision, speech, & voice to text AI.
+ Partner with data/ML engineers and vendor partners for input data pipes development and ML models automation
+ Need to deploy real time ML models, expose ML outputs through APIs, and deliver solutions to production through the software development lifecycle
+ Develop and implement a comprehensive analytics strategy and problem solving framework to support the organization's business objectives.
+ Guide the team to analyse data from various sources, including internal systems, third-party tools, and market research (as necessary), to identify trends, patterns, and opportunities.
+ Collaborate with business stakeholders to define key performance indicators (KPIs) and develop dashboards and reports to track and measure performance against these metrics.
+ Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth and customer satisfaction growth.



Effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations. Recommend business improvement areas, product/feature development or further analysis requirements basis insights from various analyses. Drive Design of Experiments methodology for all improvements. Lead the organization towards self-serve BI and Gen AI based auto-insight generation. Work with Data COE and Digital Defense COE to drive data governance initiatives, data quality standards, ensuring data accuracy, and implementing data security measures. Collaborate with Tech COE to ensure data infrastructure, systems, and tools are optimized to support efficient data collection, storage, and analysis. Foster a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement and innovation. A demonstrated ability to collaborate with internal and external stakeholders Mentoring team to write research papers, patents, & participate in open source contribution etc.

Primary qualification Criteria:

Over 10+ years of Applied Machine learning experience in the fields of machine learning such as Text Information Retrieval, Natural Language Processing (NLP), Recommender Systems, Deep learning, Optimization etc. Good to have experience in the domain of Computer Vision & Voice AI . 14 Years in analytics field. Post graduate/graduate in Maths, Computer Science, Statistics, Operation Research or related field with a minimum of 4 years of relevant experience or Masters in Math, Computer Science, Statistics, Operation Research or related field Solid understanding of Classification, Clustering, Association, Regression, Forecasting algorithms, Deep Learning (DL) techniques like convolutional neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term memory (LSTM), & Artificial neural networks (ANNs) etc. Hands on experience in model building, validation, and productionizing Proven track record of delivering impactful insights and recommendations based on data analysis. Demonstrated experience in developing and implementing analytics strategies in a corporate environment.


Expert Python Programmer, strong hold on SQL, extremely proficient with the SciPy stack (e.g. numpy, pandas, sci-kit learn, matplotlib) Experienced in ML lifecycle management and ML Ops tools & frameworks Proficient in Cloud Technologies and Service (Azure Databricks, ADF, Databricks MLflow) Proficient in communicating technical findings to non-technical stakeholders Experienced in publishing research papers/filing patents in the domain of AI Good to have experience in using any of existing platforms such as DialogFlow, Rasa etc.

Functional competency:

Strategic Thinking Detail Oriented Process improvement

Behavioural competency:

Business Acumen People Management Interpersonal relationship

Educational qualifications preferred

Category:

Master's Degree *

Degree:

Bachelor of Engineering-BE/B.TECH