Data Scientist - 01229

ADECCO; Atherstone; Hybrid; GBP 40,000 - 65,000; Full time

Job summary

A leading consultancy is seeking a Data Scientist to impact the utilities sector significantly. The role involves optimizing decision-making through innovative data solutions, collaborating with stakeholders, managing data processes, and developing predictive models using advanced technologies like Azure. If you have a strong background in data science and are excited to make meaningful contributions, this is the opportunity for you!

Qualifications

• 2+ years as a Data Scientist, experience in data science and machine learning model deployment.
• Strong understanding of pipeline management and model versioning.
• Familiarity with Git and Azure DevOps for version control.

Responsibilities

• Develop and deliver data-driven solutions for gas transmission system operations.
• Create and deploy predictive and prescriptive models using Azure ML Studio.
• Present findings clearly through visualization and reporting.

Skills

Data Manipulation

Machine Learning

Data Visualization

Problem-Solving

Effective Communication

Education

STEM Bachelor's/Master's degree

Tools

SQL

Python

Azure ML Studio

Power BI

Azure DevOps

R/Tidyverse

Job description

Data Scientist

Duration: 6 Months

Location: Warwick / Remote

Are you ready to make a significant impact in the utilities sector? Join our client's dynamic Data Science team as a Data Scientist, where your expertise will drive data-driven solutions that enhance decision-making for asset management and energy system operations. Dive into exciting projects that support regulatory commitments and contribute to our ongoing business-as-usual initiatives!

What You'll Do:
As a Data Scientist, you will lead the charge in developing innovative data science use cases. Your role will involve:

• optimising Decision-Making: Develop and deliver data-driven solutions for gas transmission system operations and asset management.


• Collaborative Engagement: Work closely with internal stakeholders to identify opportunities and refine data-driven strategies.


• Data Management: Identify, collect, clean, and process relevant datasets, ensuring seamless handover to Data Engineers.


• Model Development: Create and deploy predictive and prescriptive models using Azure ML Studio and Azure DevOps.


• Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards and web applications using Power BI, R Shiny, or Python Flask.


• MLOps Maintenance: Maintain and enhance MLOps pipelines, focusing on model robustness and performance.


• Project Tracking: Manage code and project tracking using Git and Azure DevOps Boards, aligned with Scaled Agile Framework (SAFe) practises.


• Cross-Functional Collaboration: Partner with data engineers, system operators, and other business users to ensure seamless integration of solutions.

What You Bring:
We're looking for a candidate with a blend of essential skills and experience, including:

• Hands-On Experience: Proven experience in data science and machine learning model deployment, preferably with Azure ML Studio.


• MLOps Proficiency: Strong understanding of pipeline management and model versioning.


• Data Manipulation Skills: Expertise in data extraction, transformation, and reshaping using SQL, R/Tidyverse, and Python/Pandas.


• visualisation Expertise: Experience with data visualisation tools and frameworks such as Power BI, R Shiny, and Python Flask.


• Agile Methodology: Familiarity with Git and Azure DevOps for version control and agile task management.


• Statistical Acumen: Solid understanding of statistical methods and machine learning algorithms.


• Effective Communication: Ability to convey complex technical concepts to both technical and non-technical audiences.


• Problem-Solving Attitude: Strong proactive approach to identifying and resolving challenges.

Preferred Qualifications:
While not mandatory, the following will set you apart:

• Experience in the energy or utilities sector, particularly in asset management optimisation and supply-demand forecasting.


• Understanding of SAFe practises, including PI Planning and Retrospectives.


• Experience working in hybrid team structures, collaborating with contractors and external partners.

Qualifications:

• A degree in a quantitative field (STEM Bachelor's/Master's) with strong foundations in Linear Algebra, Calculus, and Statistics, plus 2+ years as a Data Scientist.


• Alternatively, substantial industry experience combined with recognised certifications in Data Science demonstrating hands-on implementation.

Why Join Us?
This is more than just a job; it's a chance to contribute to a sustainable future while advancing your career in a supportive and innovative environment. If you're passionate about data science and eager to tackle meaningful challenges, we'd love to hear from you!

Apply Now!
Take the next step in your career and help shape the future of the utilities industry with us. Your journey starts here!

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