Data Scientist

Wood Mackenzie; City of Edinburgh; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading data analytics company is seeking a Data Scientist to join their AI group. The role involves research, development, and delivery of Generative AI solutions. The successful candidate will work collaboratively with cross-functional teams, applying advanced AI techniques to ensure high data quality in innovative products.

Qualifications

• Experience applying data science in commercial or research setting.
• Ability to communicate with technical and non-technical stakeholders.

Responsibilities

• Design and develop AI and Machine Learning models.
• Collaborate with cross-functional teams to deliver AI solutions.
• Apply advanced modelling techniques and ensure data quality.

Skills

Generative AI

Machine Learning

Collaboration

Analytical Skills

Education

Degree in technical or quantitative field

Tools

Python

SQL

Jupyter Notebooks

Git

Job description

Do you have a data science background and experience of working on traditional AI projects? If so we'd love to hear from you.

Wood Mackenzie is an industry-leading data analytics company that provides analysis and insight on the world’s natural resources with a presence all around the globe. We’re working on a next generation data analysis & visualisation platform that enables our customers to drive billion-dollar decisions and accelerate the world's transition to a more sustainable tomorrow. We're looking for a Data Scientist to join our team.

Role Purpose

This role will be working within our AI group and focus on the research, development and delivery of Generative AI solutions within our products. You'll collaborate closely with a cross-functional team of data scientists, software engineers, data engineers and product managers that deliver our product roadmap. You'll apply advanced AI techniques and ensure high standards of data quality and integrity in our solutions.

The successful candidate for this role must have a strong Data Science background and understand the challenges of delivering data products with a commitment to incremental delivery. Proven experience of data science projects, and the ability to articulate ideas effectively across multiple business areas is essential.

Main Responsibilities

• Work on the design, development, and evaluation of AI and Machine Learning models, with a focus on Generative AI and data-driven product features
• Collaborate with product, engineering, and domain teams to understand user needs and develop innovative, production-ready AI solutions aligned to strategic objectives
• Support the delivery of analytical components from concept to deployment, working closely with other team members to validate approaches and ensure quality outcomes
• Apply Machine Learning / AI and advanced modelling techniques, leveraging appropriate data engineering and statistical concepts
• Write maintainable, testable, and optimised code, and contribute to the continuous improvement of our data science practices
• Participate in peer reviews, knowledge sharing sessions, and technical discussions, while continuously developing your own skills and knowledge, and receiving mentorship from senior colleagues

Essential

About You

• You have applied Generative AI or Machine Learning techniques in real-world projects to develop and deliver innovative products
• You likely have a degree in a technical or quantitative field (e.g., computer science, engineering, mathematics, physics, or similar), and some professional experience applying data science in a commercial or research setting.
• You communicate clearly with both technical and non-technical stakeholders, and enjoy working collaboratively in a cross-functional environment
• You are familiar with version control, agile practices, and collaborative coding environments

Desirable

• You demonstrate curiosity, a willingness to learn, and an interest in growing your expertise within data science and AI
• You have strong analytical skills, are detail-oriented, and enjoy turning data into actionable insights.
• You are enthusiastic about learning new technologies, improving your skills, and contributing to meaningful business outcomes.
• You enjoy working in a collaborative team environment and take ownership of your work.

Our Tech Stack

We use a wide variety of tools and technologies across our products. For this role, we're looking for:

• Familiarity with Generative AI, and experience with technologies such as LLMs, RAG, Vectorstores and LangChain; including LLMs such as those from Anthropic, OpenAI, and Meta
• Strong Python skills and experience with Jupyter Notebooks, and libraries such as pandas, NumPy, scikit-learn
• Understanding of core ML tasks including classification, regression, clustering, and time series forecasting
• Experience with SQL and an understanding of data modelling and querying across structured and semi-structured data
• Exposure to cloud platforms such as AWS (e.g. SageMaker, Bedrock), and interest in learning MLOps tools and practices
• Experience using version control systems such as Git and GitHub

Other Technologies You Might Encounter

• Our services are deployed to AWS, typically using Bedrock, Lambda, ECS with CloudFormation and CDK for infrastructure configuration
• Our web products are developed using TypeScript, React, and Redux
• We implement GraphQL and RESTful APIs using NodeJS and Python
• Our backend services are implemented in C# / .NET or Typescript / NodeJS
• DynamoDB, Redshift, Postgres, Elasticsearch, and S3 are our go to data stores
• We run our ETL data pipelines using Python

Equal Opportunities

We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov

If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.