Data Scientist

We’re Hiring : Data Scientist / Machine Learning Engineer (4–7 years experience)

Are you passionate about turning data into real business impact? We’re looking for a

Data Scientist / ML Engineer

to join our team and help productionize cutting-edge predictive models that power smarter decisions in the

fintech and customer engagement

space.

What You’ll Do :

Build, deploy, and optimize predictive models across lending, collections, and CRM use cases.

Work hands-on with large-scale datasets and modern data pipelines.

Collaborate with cross-functional teams to translate business challenges into data-driven solutions.

Apply best practices in MLOps, model monitoring, and governance.

Communicate insights effectively to drive strategy and roadmap decisions.

What We’re Looking For :

4–7 years’ experience as a Data Scientist or ML Engineer, with proven experience productionizing ML models.

Expertise in

Python

and libraries like

scikit-learn, pandas, numpy, xgboost, PyTorch / TensorFlow, spaCy / NLTK .

Strong

SQL

skills and comfort with

cloud data lakes, ETL pipelines, and large messy datasets .

Experience deploying models via

REST APIs, Docker, batch / streaming workflows .

Familiarity with

data visualization / BI tools

for business reporting.

A practical

MLOps mindset —versioning, monitoring, retraining, and governance.

Excellent communicator who can operate independently and thrive in dynamic environments.

Nice-to-Have Skills :

Experience with cloud ML platforms ( SageMaker, Vertex AI, Azure ML, Databricks ).

NLP / NLU for chat or voice bots.

Reinforcement learning or optimization exposure.

Experience in regulated industries with focus on explainable AI.

Familiarity with MLOps tools ( MLflow, Kubeflow, Airflow, Dataiku ).

Contributions to open-source or research publications.

Interested candidates kindly share your resumes on shikha@digifocal.in