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Data Science Team Lead (Level 4)

Heathrow
2 weeks ago
Applications closed

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Competitive + Bonus + Benefits

Manchester, Slough or Leeds (Hybrid)

Permanent full time

We are seeking an experienced Data Scientist to lead a growing team as the Data Science Team Lead at IRIS Software Group.

The ideal candidate would coordinate the planning, development and design of Data Engineering in a customer facing data warehousing product. The product will drive the analytics required for both the State and Commercial sector.

To be successful in this role you will work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. This is a hands on role to build predictive models and work with your team and the engineering team to provide further insights to our customers. You’ll work with vendors to ensure IRIS investment is optimised for cost and scale.

You will of course be competent in agile data development, with a focus on innovation and positive disruption. You’ll know how to get the best from your team and customer facing data warehouse solutions and be able to improve the value of data through research and discovery.

This is a great opportunity for you to join a growing and investing product and customer centric business, with the significant opportunity for you to share and grow your skillset.

What will you be doing?

  • Analyse data and discover trends that could be used by customers within the product suite.

  • Ensure clear reporting on progress.

  • Build relationship with product team to align effort to roadmap.

  • Manage team to deliver timely product features.

  • Build predictive models to be used within the product suite

  • Demonstrate significant contribution to the product features

  • Consistent delivery of data models

  • Demonstrate significant improvement in data development

  • Evidence impact of the data on the wider portfolio

  • Overseeing and mentoring the Data Science team

    What we are seeking

  • Experienced Lead Data Engineer

  • Strong Data Engineer Language Skills (Python, SQL, Javascript)

  • Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc

  • Experience of various ETL and Streaming Tools (fiveTran, Flink, Spark)

  • Experience of a variety of data mining techniques (APIs, GraphQL, Website Scraping)

  • Ability to translate Data into meaningful insights

  • Excellent verbal and written communication skills

  • Understanding of modern lean agile software development processes

  • Disciplined management ability: caring about process, quality, setting and managing expectations

  • Good planning & organising skills

  • Workforce planning experience including recommendations for compensation planning and calibration activities

    Please note:

    We occasionally close vacancies early in the event that we receive a high volume of applications. Therefore we recommend you apply as soon as possible.

    All successful candidates will be required to undergo a basic DBS check
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