We are looking for a data scientist who will help us discover the information hidden in vast amounts of data and make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, statistical analysis, and building high-quality prediction systems integrated with our products.
A data scientist is someone who creates value from data. Such a person proactively fetches information from various sources and analyses it to better understand how the business performs and to build AI tools that automate certain processes within the company.
Data scientists’ duties will typically include creating various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems. They should also be able to perform statistical analysis.
Requirements
- Python for DS (the usuals pandas plotting etc)
- Modelling skills for both ML applications and data reporting
- SQL at least basics but by year 3 should be quite proficient with at least pulling data
- Data Lake implementation and processing. Knowledge of Snowflake or equivalent
- XGBoost, LightGBM and the ability to use them for tabular data
- NLP and familiar with modern transformers
- Experience using Tableau or PowerBI for visualisations and reporting
- Familiarity with DS front ends like Streamlit or Gradio to prototype solutions
- Exposure to development experience in mobile responsiveness using React.JS
- Web API development and integration in .NET C#
- Cloud based infrastructure and development on Azure, AWS or equivalent
- Knowledge and experience of working within the financial services sector
- Understanding & experience of source control systems – i.e. Github
- AI Ethics: Knowledge of ethical considerations in AI, including bias, transparency, and privacy issues
- Understanding of defect management processes and tracking systems
- Knowledge and experience of working within project lifecycles
- Excellent communication skills, both verbal and written, and must be comfortable delivering presentations and facilitating workshops
Key Accountability
- Cleaning and preparation of large data sources in different formats for analysis
- Analysis of data for identifying trends and correlations
- Development of predictive & generative models
- Design and development of databases
- Organisation, interpretation, and visualisation of data
- Development, implementation, maintenance, and operations of models for prediction of business trends
- Development of natural language interfaces through interface, BI and Web UI
- Adjust pre-existing market language models that have already been trained for generative AI applications
- Weekly releases of upgrades and new features
- Prioritise short-term returns and long-term growth while collaborating with product teams to ensure seamless product delivery and high standards
- Ensure that the LLMs and pipelines based on LLMs are tuned and released
- Apply, learn, and explore strategies to enhance current LLM serving and teaching while enhancing model quality
- Create and implement LLMs for various content creation jobs
- Share your findings, insights, and accomplishments with other modelers at the company who are working on similar projects
- Continually investigate and stay current with NLP and big language model developments, implementing fresh techniques and procedures to enhance our models
- Evaluate the performance of various model designs and to adjust hyperparameters, conduct experiments and benchmarks
- Investigate and fix any problems that appear during model training and deployment
About the Company
We’re excited that you’re considering joining our team. At Nikao Technology, we’re passionate about creating a culture of innovation, collaboration, and growth. Our people are at the heart of everything we do, and we’re committed to providing a dynamic and rewarding work environment where you can thrive.
Whether you’re just starting your career or are an experienced professional, we offer a range of opportunities across different fields and disciplines. We believe in investing in our employees’ development, offering training, mentorship, and opportunities for advancement.
Ready to take the next step in your career? Apply now! We can’t wait to see what we can achieve together!
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