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Data Scientist

Salary: £60,000 - £67,000 base per annum

Benefits: 12% bonus and benefits

Location: Remote / occasional travel

About 83zero are partnered with a highly successful medical organisation who work with cutting edge technology to help thousands of people across the world. After a huge endorsement they are looking to expanding their business even further and wanting to hire an experienced Data Scientist.

Our client offer are very focused on work life balance and want to offer you a wide range of benefits: remote working, 12 % bonus, private health care, good pension contribution.

The Role As a market leader in the industry and in line with their strategic priorities, they are focused to become the partner of choice and set exceptional new standards in customer centricity with agile ways of working and innovative solutions to drive market share gain.

As the Data Scientist, you will contribute to the program office where you will be responsible for supporting usage, maintaining and improving the Scoring Engine, as well as adjusting and tuning the scoring engine for new markets and segments. You will provide support to the Marketing and Sales teams in conception of other engine / Machine Learning initiatives as well as in the optimization of internal reports that feed their strategic operating mechanisms.

Main responsibilities:

  • Executing the engine prediction weekly

  • Participate in and facilitate the feedback sessions with engine’s users to improve the engine

  • Integrate new data sources

  • Make data and logic adjustments to the existing engine for new markets

  • Facilitate data collecting and cleaning process for new markets

  • Support the Marketing team in the design of other ML models with different applications

  • Help build and optimize market and sales reports used for ongoing business reviews.

Essential skills and experience:

  • 3+ years’ experience in a similar role

  • Experience in building and deploying ML models.

  • Strong Python and SQL experience

  • Proficient experience with sklearn, pandas, numpy or shap

  • Experience is using Azure infrastructure would be desirable.

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