Lead Data Science Engineer
Lead Data Science Engineer
Posted on :
06-10-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
We are looking for a skilled Data Scientist to collaborate with financial experts on the development and prototyping of machine learning algorithms that drive pricing optimization forecasting and business decision-making. You will leverage Python and modern data science libraries working with large datasets provided as Parquet files in an Azure cloud infrastructure. Experience with the Kedro framework the Azure platform and financial sector challenges is highly valued. The ideal candidate is adept at building data pipelines conducting advanced analytics and communicating insights in a consulting environment.
Responsibilities:
- Collaborate with financial experts to understand business problems and frame them as machine learning tasks.
- Prototype build tune and deploy machine learning models - especially gradient boosted tree models using LightGBM (preferred) and XGBoost to address price optimization forecasting and other financial decision processes.
- Perform feature engineering data preprocessing and model validation on large structured datasets provided in Parquet format.
- Analyze feature importance and interpret model results to drive actionable insights for clients.
- Develop reproducible data pipelines using Python employing modular frameworks such as Kedro when possible.
- Validate model performance through experiment frameworks such as A/B testing and industry-standard metrics (e.g. RMSE MAE AUC).
- Collaborate within an Azure-based infrastructure to integrate models into operational workflows and support production deployment.
- Communicate findings and present actionable insights to both technical and non-technical stakeholders.
- Contribute to a collaborative team environment and support knowledge-sharing.
Requirements:
- Proven experience deploying end-to-end data science solutions ideally within financial services or economic domains.
- Previous experience with Kedro for pipeline orchestration and modular data science development is a significant plus.
- Gradient Boosted Tree experience hands-on familiarity with implementing tuning and deploying machine learning models based on the gradient boosting algorithm. Experience with LightGBM and/or XGBoost open source frameworks is a significant plus.
- Experience in building or deploying models within enterprise cloud environments (AWS Azure).
- Exposure to working with automated machine learning tools and scalable data engineering platforms.
- Solid understanding of:
- A/B testing methodologies - experiment design and statistical analysis (classical t-tests zero inflated models etc).
- Revenue forecasting models (DARTS prophet sktime etc).
- Price Optimization (regression analysis and optionally linear programming).
- Advanced SQL skills and experience with data manipulation tools (e.g. Pandas).
- Experience working with parquet files and manipulating large structured datasets.
- Hands-on experience in Azure cloud environments (Databricks Azure ML Data Lake etc.).
- Experience with CI/CD workflows (Continuous Integration / Continuous Deployment) for data science and machine learning projects enabling automated model testing integration and deployment.
- Understanding of ETL/ELT processes and data pipeline orchestration
- Strong collaboration and communication skills with the ability to interact with subject matter experts and clients
- Strong organizational skills with keen attention to detail.
- Excellent communication analytical and interpersonal skills.
- English - Upper intermediate or Advanced.
We offer*:
- Flexible working format - remote office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program tech talks and trainings centers of excellence and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
