Job highlights

- Experience in Customer Service,Finance,Sales and Marketing .

Additional

Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques,Word Embeddings,Topic Modeling,Sentiment Analysis,Classification,Sequence Models and Transfer Learning .

- Degree preferred in a quantitative field (Computer Science,Statistics,etc.)

About the Role In this chance as Senior Data Scientist, you will:

- Engage with stakeholders, business analysts and project team to understand the data requirements.

- Work in multiple business domain areas including Customer Service, Finance, Sales and Marketing.

- Design analytical frameworks to provide insights into a business problem.

- Explore and visualize multiple data sets to understand data available and prepare data for problem solving.

- Build machine learning models and/or statistical solutions.

- Build predictive models, generative AI solutions.

- Use Natural Language Processing to extract insight from text.

- Design database models (if a data mart or operational data store is required to aggregate data for modeling).

- Design visualizations and build dashboards in Tableau and/or PowerBI.

- Extract business insights from the data and models.

- Present results to stakeholders (and tell stories using data) using power point and/or dashboards.

About You

Youre a fit for the role of Senior Data Scientist if your background includes:

- Experience- 6-5 Years in the field of Machine Learning & AI





- Must have a minimum of 3 years of experience working in the data science domain

- Degree preferred in a quantitative field (Computer Science, Statistics, etc.)

- Both technical and business acumen is required

- Technical skills

- Proficient in machine learning, statistical modelling, data science and generative AI techniques

- Highly proficient in Python and SQL

- Experience with Tableau and/or PowerBI

- Has worked with Amazon Web Services and Sagemaker

- Ability to build data pipelines for data movement using tools such as Alteryx, GLUE

- Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POC s in building Generative AI solutions (GPT, Llama etc.,)

- Hands on with Prompt Engineering

- Experience in Customer Service, Finance, Sales and Marketing

- Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning

- Knowledgeable of AWS APIs for Machine Learning

- Has worked with Snowflake extensively.

- Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations.

- Ability to communicate complex results in a simple and concise manner at all levels within the organization.

- Consulting Experience with a premier consulting firm.

📌 Senior Data Scientist (Bengaluru)
🏢 Thomson Reuters
📍 Bengaluru