Data Scientist (Consultant) London, England
Job description
51,000 people. 49 countries. Over 120 office locations.
We’re not just engineers. We’re a global team of data scientists, consultants, construction workers and innovators all working to create a better tomorrow. Every day, we help customers in energy, chemicals and resources get one step closer to solving our planet’s toughest issues. Climate change. The energy transition. Digital transformation. And how we can deliver a more sustainable world.?
Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. For more information, visit Worley.com
Worley are looking for a Data Scientist to join our Unconventional Industrial Solutions team on a full time basis in the UK. This is a hybrid / remote working role with limited requirement to travel.
Job Purpose
Analyse and interpret complex data to identify trends, patterns, and insights that inform business decisions. Utilise a wide variety of machine learning techniques, programming, and domain knowledge to develop predictive and prescriptive solutions to business problems.
Your place in the organisation
Unconventional Industrial Solutions is part of the Customer Solutions team which, in turn, is part of the Growth Division of Worley.
Customer Solutions
The Customer Solutions team is part of Worley’s Growth Division. Our team of consultants, technology experts, data scientists, developers and engineers support our customers as they embrace digital technology and transform their organization.
Our mission is to make energy affordable and accessible to everyone - enabled by providing our clients with 5 key capabilities:
- Digital Advisory services & Human-Centric Service Design
- End-to-End Digital Twins as a foundation for smart advisory
- Take advisory services & breakthrough analytics solutions to the next level by productizing them and serving them to our clients & ecosystem through user-centric B2B marketplace
- Sustainability solutions
- Autonomous solutions design and implementation
Unconventional Industrial Solutions
The UIS team consists of over 40 specialist practitioners located across the UK, Southeast Asia and Australia, and provides data-driven solutions for complex industrial problems.
We complement conventional engineering approaches to solving problems, by leveraging subject matter expertise and domain knowledge alongside simulation-driven design, data science and machine learning.
Our solutions increase operational safety and protect against losses, while optimised asset designs, operational parameters and maintenance strategies deliver significant savings.
Qualifications Required
Undergraduate/Masters degree in STEM or other numerate subjects. Plus 3 or more years relevant working experience.
OR
PhD in a relevant field (Machine Learning, Industrial Analytics etc.) plus one year commercial experience
Skills and Experience
Machine Learning
- Skilled at building predictive models to solve a wide range of problem types, choosing the right approach(es) to maximise performance. Seeks constantly to broaden repertoire of ML approaches used. Able to work in a variety of machine learning applications and coding libraries.
- Can demonstrate hands-on experience in at least four of the following machine learning applications: Regression, Classification, Clustering, Dimensionality Reduction, Deep Learning (AI), Reinforcement Learning, Optimisation.
- Au fair with current machine learning tools and platforms such as Python, IBM, Knime, Github, R, Spark, Weka, Amazon ML, Azure ML etc.
Analytical Knowledge
- Design an analytical project incorporating the right approaches and datasets to solve a given problem
- Mine data to understand its quality and distribution, informing model choice and transformations needed
- Perform statistical tests on model output to assess performance and ensure the validity of conclusions.
Applied Analysis and Insight
- Draw on domain expertise to choose the most appropriate analytical approach.
- Work with customers and subject matter experts throughout a project to ensure data is interpreted correctly and solutions are viable.
- Present models to non-technical audiences in compelling business-oriented terms.
- Present data in a visually compelling and elegant way making it easy to interpret and draw conclusions
- Experience in analysis of IOT/Sensor Data to solve problems in an industrial setting.
Technical
- Write code to access and process diverse data types from a range of on-prem and cloud sources.
- Familiar with cloud computing and big data technologies (Azure, AWS, Hadoop, Spark, Snowflake etc).
- Comfortable working on data platforms, such as Snowflake or Databricks, to manipulate data to engineer model features.
- Familiarity with the technologies used to validate, monitor and deploy ML models (Tensorflow, ML Flow, AWS Studio, Docker, Kubernetes etc).
Softer Skills
- Spend time with customers to fully understand the challenges and the nuances of their organisation and data.
- Develop generalised approaches to solving problems in models and code.
- Bring data and analytics to life through storytelling, and excellent written and verbal skills
- Be comfortable working in Agile project-management frameworks.
Providing an agile culture and challenging work opportunities results in a positive work environment. Our people enjoy competitive compensation packages and a fun, personal, collaborative and safe working environment. We value equal employment opportunity and are committed to promoting fairness, equality and diversity.
Our policy is to conduct background checks for all candidates who accept an offer of employment with us.
If you have the passion and talent to keep up, it's time to test the limits of what you can become. Find your future with Worley.
