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SEI

Senior Data Scientist

Posted 5 Days Ago
Be an Early Applicant
In-Office
Hyderabad, Telangana, IND
Senior level
In-Office
Hyderabad, Telangana, IND
Senior level
The Senior Data Scientist will lead AI initiatives, develop models, mentor others, and ensure successful product delivery while adhering to data regulations.
The summary above was generated by AI

SEI is seeking a highly skilled and experienced Senior Data Scientist to join our enterprise Artificial Intelligence team. In this role, you will lead data-driven initiatives, develop advanced models, and deliver actionable insights that directly impact our business strategy. You will work closely with cross-functional teams, mentoring junior data scientists and contributing to the overall Artificial Intelligence vision at SEI. 

What you will do:

  • Lead the end-to-end product development lifecycle, from ideation to launch, ensuring the successful delivery of AI products.
  • Design, deploy, and monitor machine learning models in production using MLOps tools and cloud-native services.
  • Develop and fine-tune Generative AI models and LLMs, integrating them into business applications.
  • Clean, preprocess, and analyze large datasets to extract meaningful patterns, trends, and insights.
  • Conduct thorough exploratory data analysis to discover hidden insights and potential opportunities.
  • Build and maintain data pipelines for efficient data collection, storage, and processing.
  • Develop and implement machine learning algorithms and models for predictive and prescriptive analytics.
  • Communicate complex findings to both technical and non-technical stakeholders through visualizations, reports, and presentations.
  • Stay up-to-date with the latest advancements in artificial intelligence, machine learning, and relevant technologies.
  • Build scalable, automated data pipelines for batch and real-time analytics using tools like Airflow, Spark, or dbt.
  • Ensure compliance with data privacy and security standards in all AI solutions.

What we need from you:

  • Bachelor's degree from an accredited college or university, and/or equivalent relevant experience. MS, MBA or CFA designation is a plus.
  • A minimum of 5 years of experience in data science, machine learning, or a related field. Wealth management industry related experience is a plus.
  • Strong understanding of AI technologies, including machine learning, natural language processing, and Generative AI.
  • Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML), containerization (Docker), and orchestration (Kubernetes).
  • Hands-on experience with Generative AI, LLMs, and prompt engineering.
  • Familiarity with modern data engineering tools (Airflow, Spark, Kafka, dbt).
  • Knowledge of data privacy regulations and responsible AI practices.
  • Proficiency in programming languages such as Python or R, and experience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Strong experience with data manipulation tools (e.g., SQL, pandas).
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib).
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps best practices.
  • Detail oriented with the ability to organize and prioritize tasks to ensure timely delivery of the projects

What we would like from you:

  • Proven decision-making and problem-solving skills.
  • Exceptional oral and written communication skills, including understanding of technical writing requirements
  • Ability to work comfortably with a wide range of people and skill sets, including data scientists, architects, project managers, analysts, designers and developers.
  • Experience interfacing with management and vendors.
  • Understand overall vision and how Product fits with that vision.
  • Excellent analytical, problem-solving, and decision-making skills. Ability to translate complex business requirements into actionable product features
  • Certifications in cloud ML, data engineering, or AI.
  • Someone who will embody our SEI Values of courage, integrity, collaboration, inclusion, connection and fun.  Please see our website for more information.  https://www.seic.com/

SEI’s competitive advantage

To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive care for your physical and mental well-being, hybrid working environment and a work-life balance that enables you to relax, recharge and be there for the people you care about.

Our benefits include Medical Insurance, Term Life Insurance, Voluntary Provident Fund, 10 Predefined Holidays and 2 Floating Holidays in a year, Paid Time off and more.

We are a technology and asset management company delivering on our promise of building brave futures—for our clients, our communities, and ourselves.  Come build your brave future at SEI. 

SEI is an Equal Opportunity Employer and so much more…

After 50 years in business, SEI is a leading global provider of investment processing, investment management, and investment operations solutions. Reflecting our experience within financial services and financial technology our offices encompass an open floor plan and numerous art installations designed to encourage innovation and creativity in our workforce. We recognize that our people are our most valuable asset and that a healthy, happy, and motivated workforce is key to our continued growth. At SEI, we’re (literally) invested in your success. We offer our employees paid parental leave, paid volunteer days, professional development assistance and access to thriving employee networks.

AI Acceptable Use in the application and interview process:

SEI acknowledges the growing integration of artificial intelligence (AI) tools into individuals’ personal and professional lives.  If you intend to incorporate the use of any AI tools at any stage of the application and/or interview process, please ensure you have reviewed and adhere to our AI use guidelines

Top Skills

Airflow
AWS
Azure
Azure Ml
Dbt
Docker
GCP
Kafka
Kubeflow
Kubernetes
Mlflow
Pandas
Power BI
Python
PyTorch
R
Scikit-Learn
Spark
SQL
Tableau
TensorFlow
Vertex Ai

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