Digital Technology Specialist Data Science

Digital Technology Specialist - Data Science

Are you a highly motivated creative individual and passionate about Data Science

Would you like to be a part ofsuccessfulteam

Join our team!

The Data Scientist will work in teams addressing statistical machine learning and data understanding problems in a commercial technology and consultancy development this role you will contribute to the development and deployment of modern machine learning operational research semantic analysis and statistical methods for finding structure in large data sets.

As a Digital Technology Specialist you will be responsible for:

• Develop analytics to address customer needs and opportunities.

• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.

• Work in technical teams in development deployment and application of applied analytics predictive analytics and prescriptive analytics.

• Perform exploratory and targeted data analyses using descriptive statistics and other methods.

• Work with data engineers on data quality assessment data cleansing and data analytics

• Generate reports annotated code and other projects artifacts to document archive and communicate your work and outcomes.

• Share and discuss findings with team members.

• Analyze large structured and unstructured datasets to identify trends patterns and opportunities.

• Develop statistical models to uncover insights and support business decisions.

• Perform exploratory data analysis (EDA) and hypothesis testing.

• Create dashboards and visualizations to communicate findings.

• Design develop train and deploy machine learning models.

• Build predictive classification recommendation and optimization solutions.

• Apply Generative AI LLMs Retrieval-Augmented Generation (RAG) and Agentic AI techniques where applicable.

• Evaluate model performance and continuously improve accuracy and reliability.

• Build scalable data pipelines for data ingestion transformation and feature engineering.

• Implement model deployment monitoring and lifecycle management using MLOps best practices.

• Work with cloud-native AI and data platforms.

• Ensure data quality governance security and compliance standards.

• Collaborate with business stakeholders to understand requirements and define success metrics.

• Translate business problems into analytical and AI solutions.

• Present technical findings to both technical and non-technical audiences.

• Measure and communicate business impact of deployed solutions.

• Stay current with advancements in AI machine learning generative AI and analytics.

• Prototype new approaches and technologies.

• Contribute to AI strategy governance and responsible AI practices.

Fuel your passion!

To be successful in this role you willhave:

• Bachelors or masters degree in data science Computer Science Statistics Mathematics Engineering or a related quantitative field.

• Strong programming skills in Python and/or R.

• Expertise in SQL and database technologies.

• Experience with machine learning frameworks: Scikit-learn TensorFlow PyTorch XGBoost.

• Experience with cloud platforms: Microsoft Azure AWS Google Cloud Platform.

• Knowledge of: Data Warehousing Data Lakes ETL/ELT pipelines Spark and distributed computing.

• Familiarity with MLOps tools: MLflow Azure ML Databricks Kubernetes Docker.

• Experience with Generative AI LLMs Prompt Engineering and RAG architectures.

• Strong understanding of: Statistics Probability Experimental Design Time Series Analysis Optimization Techniques.

• Experience deploying AI solutions into production environments.

• Knowledge of Responsible AI AI governance and model explainability.

• Experience with vector databases (Pinecone Azure AI Search Weaviate Chroma).

• Familiarity with AI agents and autonomous workflows.

• Industry knowledge in domains such as healthcare finance retail manufacturing or telecommunications.

• Strong problem-solving and critical-thinking abilities.

• Excellent communication and storytelling skills.

• Ability to work in cross-functional teams.

• Strategic mindset with a focus on business outcomes.

• Continuous learning and innovation mindset.

A successful modern Data Scientist:

• Delivers measurable business value from AI and analytics initiatives.

• Builds scalable and production-ready ML/AI solutions.

• Improves operational efficiency through data-driven automation.

• Drives adoption of AI technologies across the organization.

• Maintains high standards of governance security and responsible AI.

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working with us

Our people are at the heart of what we do at Baker know we are better whenall ofour people are developed engaged and able to bring their whole authentic selves to invest in the health and well-being of our workforce train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow we know wehave topush the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us and you can expect.

Contemporary work-life balance policies and wellbeing activities

Comprehensive private medical care options

Safety net of life insurance and disability programs

Tailored financial programs

Additionalelected or voluntary benefits