Lead Engineer/Manager - Data Science (7-9 yrs)

Role : Lead / Manager - Data Science

Experience : 7 to 9 Years

Work Location : Hyderabad

Job Description :

- Experience in owning multiple, projects end-to-end and manage the process and team of analysts, escalating blockers when required.

- Contributing to proposal submissions and business development initiatives under the direction of the Leadership team

- Designing data science solutions end to end with appropriate time estimations and resourcing

- Experience in preparing and presenting compelling analysis findings to clients and senior stakeholders

- Proven experience as a Data Scientist, with a strong portfolio of data science projects; ability to demonstrate how to perform data cleaning, QC and exploratory analysis to discover key insights

- Commercial experience using predictive modelling (supervised and unsupervised) and proficiency in programming languages like Python and R or similar; solid understanding of database technologies and SQL.

- Strong knowledge and experience using predictive modelling (supervised and unsupervised) machine learning, data mining, and statistical modelling in a commercial setting.

- Excellent communication and collaboration skills; ability to work effectively in a fast-paced, dynamic environment.

Nice to have :

- Experience more complex applications of ML such as NLP, computer vision or optimization is advantageous

- Ability to work and process large amounts of data/experience working with cloud environments

- Experience and working knowledge of relevant sectors (e.g. manufacturing, energy, public sector, automotive and utilities industries) is desired but not essential

- Experience with proposal submissions and business development initiatives under the direction of the Leadership team

- Experience in designing data science solutions from concept through to evaluation and monitoring models in production.

- Experience in managing teams or supporting team development

- Prompt engineering knowledge, with familiarity in different strategies.

- Exposure to various prompt engineering techniques in different scenarios.