data scientist in bengaluru / bangalore

randstad india
position type
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bengaluru / bangalore
Information Technology
position type
reference number
randstad india

job description

data scientist in bengaluru / bangalore

About The Role



LafargeHolcim’s APAC IT Services team has the charter to build competitive edge to the


Job Posting Template

business by proactively building world class high quality innovative IT, Digital, Analytics and Business Process Improvement solutions/Services for APAC Region with focus on Operating Companies (OpCos) e.g. ACC, Ambuja in India, Australia & New Zealand and Bangladesh. There is also a mandate to set up a Global Digital Hub focused on Advanced Analytics, Digital Business Platforms and Digital Solutions to provide service across the globe in phased manner. To enable this vision, IT team strives to focus on:

Co-creating IT, Digital & Data Strategy that not only aligns with business priorities but also creates and enables new business models that add competitive advantage to business.

Building thought leadership and expertise in Emerging technologies & Data-driven Operations and creatively apply it to different needs of the business for Value Creation.

Driving continuous Business Process Simplification, Improvement and Excellence

Implementation of projects in Agile manner within time and budget addressing critical business needs leveraging appropriate technology

Driving and Ensuring Value Creation, Adoption, Change Management and supporting Value Capture for various implemented projects.

Building and Running a world-class NextGen IT to enable Business Outcomes.


The Data Scientist will be part of Global Digital Hub and will play a key role in enabling business for Data Driven Operations and Decision making in Agile and Product-centric IT environment.



Maximum 7 bullet points

Work with Business / Domain SMEs, understand pain and opportunity areas and create analytical models to identify patterns and predict outcomes of key business processes

Identify the appropriate modelling technique and use Machine Learning and Deep Learning Algorithms to develop self-correcting models and algorithms, validate results from the business perspective and identify levers to improve outcomes

Collaborate with Product Development teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions

Test hypothesis on raw datasets and build meaningful and conclusive insights to identify new opportunity areas

Work on all aspects of data including data acquisition, data exploration, feature engineering, building and optimizing models etc.

Design full stack ML solutions in a distributed computing environment including Cloud Platforms like AWS and GCP. If needed develop ML solutions to be deployed on the edge (like actuators in plants) or mobiles





Your Profile



Job Posting Template

Maximum 3 bullet points

Education / Qualification

BE / B. Tech in Computer Science, Engineering or relevant field

Graduate degree in Data Science or other quantitative field is preferred

Strong mathematics skills (e.g. statistics, algebra)

Certification in Cloud Analytics Platforms – AWS preferred followed by GCP/Azure



Total experience of 8-10 years

Industry Experience especially in Manufacturing Function in a Building Material Industry, Manufacturing, Process or Pharma

Knowledge and experience in statistical and data mining techniques: Regression, Boosting, Text Mining, Social Media Analysis, etc.

5+ years of experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc.

5+ years of experience in experience in statistical computer languages (Python, R, SQL, etc.) to manipulate data and draw insights from large data sets

3+ years of experience in Big Data cloud platforms like AWS and GCP, Data Lakes, and Data Warehouses with specific experience of leveraging AWS / GCP and deploying AI / ML models on these platforms

Experience in DL frameworks such as TensorFlow, Keras or PyTorch

Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks (e.g. Hadoop) will be an added advantage

Maximum 7 bullet points

Key Personal Attributes

Maximum 9 bullet points

Analytic and Research Oriented

Constructive and Collaborative Team Player

Innovative and Continuous Improvement Mind-set

Business focused, Customer & Service minded

Strong Consultative and Management skills

Good Communication and Interpersonal skills

Confident in advising, developing and articulating solution

Result oriented and with a work ethic of delivering on-time and in scope

Open to Change and Disruption and Attitude to challenge the Status Quo


Language Requirements

Fluent Written and Spoken English with good command on Business Communication


Data Scientist