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Data Scientist

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ITV Plc

Sep 10

  • Job
    Full-time
    Mid & Senior Level
  • Software Engineering
  • Leeds, +1

AI generated summary

  • You should have ML solution design experience, advanced Python and SQL skills, production-grade coding, PySpark knowledge, cloud deployment, data storytelling ability, and a passion for media.
  • You will develop machine learning solutions, optimize existing models, create PoCs, collaborate with teams, and promote data science best practices while utilizing innovative data techniques.

Requirements

  • Experience designing and developing ML solutions to solve business problems
  • Advanced Python proficiency with experience of key python modules e.g., numpy, pandas, sklearn
  • Functional SQL proficiency with the ability to efficiently query relevant data sources (e.g., BigQuery)
  • Experience writing production-grade python code (e.g., modular code, dependency management, CI/CD, unit testing, Git/version control)
  • Experience with Pyspark and the spark ecosystem
  • Ability to scope ML product requirements with stakeholders and propose a solution
  • In depth knowledge of key statistical concepts (e.g., hypothesis testing, probability distributions)
  • Strong communication skills with demonstrated experience presenting to stakeholders; the ability to tell a compelling story through data and explain complex ML concepts to a broad audience
  • Experience productionising ML models on a cloud platform e.g. AWS or GCP
  • Experience using Databricks
  • Experience working within a Data Mesh architecture
  • Experience working in a cross-functional environment
  • Experience with deep learning frameworks (e.g., tensorflow, keras)
  • Passion for learning new skills and staying up-to-date with advances in ML algorithms and Generative AI
  • A passion for the TV industry and an interest in the wider Media & Entertainment landscape.

Responsibilities

  • Translating business problems into machine learning solutions
  • Researching, designing & training machine learning solutions for your stakeholders
  • Creating Proof of Concepts (PoCs) for your stakeholders and productionising successful PoCs on our Data Platform (AWS / Databricks)
  • Optimise and maintain existing solutions to improve performance metrics and increase business impact (e.g., Churn & Upsell propensity models)
  • Being curious and innovative in the utilisation of our data (e.g., utilising NLP techniques to derive content similarity, combining first party & third party data to provide novel insights)
  • Implementing software development best practices for ML products (Git, unit testing, CI/CD pipelines, MLFlow)
  • Implementing best practice ML model monitoring solutions to ensure your stakeholders receive the highest quality results from their ML products
  • Collaborating with a cross functional team including data analysts, data engineers & insight managers
  • Being an ambassador for Data Science within The Insights Group (TIG) and across the broader organisation

FAQs

What is the job title for this position?

The job title is Data Scientist.

Where are the office locations for this role?

The office locations are ITV White City, Media City Manchester, and Leeds.

What is the hiring range for this position?

The hiring range is £60,000 - £70,000 per annum.

What type of employment is being offered?

This is a permanent, full-time position.

What is the focus of the ITV Insights Group?

The ITV Insights Group focuses on supercharging streaming and optimizing broadcast with data and insight as part of ITV's digital transformation strategy.

What collaborative roles will the Data Scientist work with?

The Data Scientist will collaborate with Data Analysts, Insight Managers, Data Engineers, and key stakeholders.

What types of projects will the Data Scientist be involved in?

The Data Scientist will work on a broad range of data science projects, including marketing and content insights.

What are some key responsibilities of the Data Scientist?

Key responsibilities include designing machine learning solutions, creating Proofs of Concept, optimizing existing solutions, and implementing software development best practices.

What minimum skills are required for this role?

Minimum skills include experience in designing ML solutions, advanced Python proficiency, functional SQL proficiency, and knowledge of statistical concepts.

Is experience with cloud platforms required?

Yes, experience productionizing ML models on a cloud platform such as AWS or GCP is preferred.

Are there opportunities for professional growth in the role?

Yes, ITV offers opportunities to learn, grow, and make a real difference in a fun working environment.

Does ITV encourage applications from diverse groups?

Yes, ITV strongly encourages applications from Deaf, Disabled, and/or Neurodivergent people as part of their commitment to inclusivity.

What benefits does ITV offer for this role?

Benefits include flexible working options, generous holiday allowance, annual bonus opportunities, and various well-being initiatives.

How can candidates inquire about the application process?

Candidates can email TalkingCareers@itv.com for more information or questions about the application process.

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Entertainment & Media
Industry
5001-10,000
Employees
1955
Founded Year

Mission & Purpose

Shaping culture is in the DNA of ITV. So it’s not surprising that you’ll find us in every home in the UK. Our productions are famous all over the world and we’re at the forefront of the digital streaming revolution. But what might surprise you is the culture of our company. Because even though we make a big impact we know the small things matter. We make sure every voice is heard, every person is seen. When you join us, you enter a fun working environment. With opportunities to learn, to grow and make a real difference. Small enough that your impact’s felt in the business, but big enough that your impact reaches millions of people. Come develop your skills, change TV and the course of your career. Don’t just watch it. Be part of it. Join ITV.

Benefits

  • Life Insurance

  • Pension Plan

  • Work From Home

  • Sick Pay