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Data Scientist

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Energy Jobline

7d ago

  • Job
    Full-time
    Senior Level
  • London

AI generated summary

  • You should have data science experience in finance, expertise in AI/ML, automation skills, data lineage knowledge, proficiency in Python/R/Scala, and familiarity with cloud platforms and data governance.
  • You will design and deploy machine learning models, optimize processes using AI, maintain automation frameworks, track data lineage, analyze large datasets, and collaborate with teams on data strategies.

Requirements

  • Proven experience as a Data Scientist, preferably within the financial services sector.
  • Expertise in AI and machine learning, with hands-on experience working with large models (LLMs) such as GPT or similar technologies.
  • Strong proficiency in automation tools and techniques, with a track record of implementing data-driven process automation.
  • Solid understanding of data lineage and its importance in maintaining data integrity across systems and platforms.
  • Experience in building and managing data dictionaries, ensuring consistent data governance across the organization.
  • Proficiency in programming such as Python, R, or Scala, and experience with data science libraries and frameworks.
  • Strong analytical skills with the ability to extract meaningful insights from large and complex data sets.
  • Excellent communication and collaboration skills, with the ability to work effectively across teams and present complex findings to non-technical stakeholders.
  • Experience working with financial data or in the financial services industry.
  • Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
  • Knowledge of data governance and compliance standards relevant to financial services.

Responsibilities

  • Design, develop, and deploy machine learning models, with a focus on large models (LLMs) to drive intelligent automation and decision-making.
  • Leverage AI to build innovative solutions that optimize processes across the business.
  • Implement and maintain automation frameworks to streamline data processing, reporting, and other key workflows.
  • Ensure data lineage is properly tracked, providing clear visibility into data transformations and usage across the organization.
  • Create and maintain data dictionaries that document all data assets, ensuring transparency and consistency across the business.
  • Collaborate with cross-functional teams, including engineering, product development, and business intelligence, to translate complex data insights into actionable strategies.
  • Analyze large data sets to uncover trends, patterns, and opportunities for improving operational efficiency and customer outcomes.
  • Stay up to date with industry advancements in AI, machine learning, and data management, incorporating relevant developments into the company's data strategy.

FAQs

What is the job title for this position?

The job title for this position is Data Scientist (Interim).

What is the salary structure for this role?

The salary for this role is a competitive day rate.

Where is the job located?

The job is located in London, with a hybrid working arrangement.

What type of company is hiring for this position?

The hiring company is a leading financial services firm focused on leveraging cutting-edge technology to enhance client experiences and drive business growth.

What are the main responsibilities of the Data Scientist role?

The main responsibilities include developing AI-driven solutions, implementing automation frameworks, ensuring data quality, collaborating with cross-functional teams, and analyzing large data sets.

What qualifications are required for this position?

Required qualifications include proven experience as a Data Scientist, expertise in AI and machine learning, proficiency in programming languages like Python, R, or Scala, and strong analytical skills.

Is prior experience in the financial services sector necessary?

Yes, prior experience in the financial services sector is preferred.

What programming languages should candidates be proficient in?

Candidates should be proficient in programming languages such as Python, R, or Scala.

What types of data platforms should candidates be familiar with?

Candidates should be familiar with cloud-based data platforms such as AWS, Azure, or Google Cloud.

Does the company offer any professional development opportunities?

Yes, the company offers opportunities for professional development and career growth.

Can I expect feedback on my application?

Due to the high number of responses, the company may not be able to provide feedback to all applicants.

Energy Jobline

Human Resources
Industry
11-50
Employees
2011
Founded Year

Mission & Purpose

Energy Jobline is a global job board that specialises in the energy, engineering, and power industries. They connect professionals with career opportunities in sectors like oil and gas, renewables, nuclear, and power generation. Their ultimate mission is to support the global energy workforce by providing a platform for job seekers to find relevant roles and for employers to access top talent. The purpose of Energy Jobline is to facilitate career development and recruitment in the energy sector, contributing to the industry's growth and innovation.