Data Scientist | OVO Energy

OVO Group is a leading energy technology company determined to create a world with clean, affordable energy for everyone. Since launching in 2009, they have welcomed over a million members, planted a million trees, and set their sights on helping save the planet. They are on a mission to change energy for the better, including driving progress towards the target of net zero carbon living.

The Tech org at OVO is entering an exciting growth phase, which includes hiring across all their data squads throughout the rest of 2024 and early 2025. The Data Scientist will drive the delivery of innovative AI solutions to enhance customer experiences, as part of the AVA team.

PRIMARY RESPONSIBILITIES:

As a Data Scientist at OVO, you will be at the forefront of using AI to enhance customer experiences. You’ll work as a team to develop and implement innovative solutions that optimize user interactions and personalize services. Your expertise will drive the delivery of innovative AI-powered features, ensuring OVO Energy remains a leader in providing seamless and tailored experiences for its customers.

RESPONSIBILITIES INCLUDE:

• Modelling and Deployment: Developing and iterating on sophisticated ML models (including GenAI, language and computer vision models) by collaborating with Engineers to deploy and maintain the models in production environments. You will apply your expertise in Python and SQL to develop these models on the GCP platform, adhering to the highest standards of model governance and ethical AI practices

• Methodology Selection: Assisting in the selection and application of the most appropriate data science methodologies for each use case. This may range from exploring complex machine learning algorithms to designing data structures

• Identifying Opportunities: Working with domain experts, product managers, and engineers to help identify and define impactful data science opportunities, supporting the team in translating complex business challenges into actionable solutions

• Communication and Collaboration: Communicating data-driven insights to stakeholders across different levels of technical expertise, using data visualisation techniques to present findings clearly and practically

• Technical Excellence: Applying your understanding of engineering principles to support the design, development, and deployment of scalable data models and algorithms, contributing to initiatives that enhance data accessibility and maturity across the organisation

• Experimentation and Insights Generation: Assisting in designing and implementing experiments to extract, merge, and analyse data from various sources, delivering actionable insights to stakeholders and using visualisation tools to communicate these insights effectively

• Community Engagement: Actively contributing to the data science community, promoting collaborating, openness, and innovation

IN YOUR FIRST 3 MONTHS YOU’LL:

• Make a measurable impact on customer experience

• Conduct analysis to find opportunities for model enhancements

• Plan and deliver the development of improvements to existing ML models

• Measure and communicate impacts of the changes to your team

TOOLS THE TEAM IS USING: Python, GCP (Bigquery and Vertex AI), Kubeflow, Github

ESSENTIAL SKILLS & EXPERIENCE

• A degree or equivalent experience in a quantitative field (e.g., Mathematics, Computer Science or Engineering)

• Minimum 2 years of experience in data science roles with a proven track record of delivering impactful data science solutions. Demonstrated experience in the design, development, and deployment of machine learning models

• Experience with common data science tooling such as Python (or R), SQL and Github

• Experience and foundational understanding of statistical, machine learning and data mining techniques. Preferably some experience with GenAI and associated packages (e.g. Langchain, Langgraph, CrewAI) Natural Language Processing (e.g. NLTK, SpaCy) and deep learning (e.g. PyTorch, Huggingface)

• Experience in translating complex business requirements into data science opportunities. Skilled in presenting sophisticated concepts to senior stakeholders

• A growth mindset with a passion for continuous learning and knowledge sharing

BONUS POINTS FOR:

• Knowledge of cloud platforms (specifically GCP/VertexAI) and machine learning frameworks

• Experience with scheduling platforms like Kubeflow and an understanding of advanced programming principles are highly desirable

If you tick most but not all of the requirements, OVO would still love to hear from you!

COMPENSATION/BENEFITS:

• Competitive salary range of £58-72k plus on-target bonus of 15%

• 34 days holiday including bank holidays

• Pension matching up to 5%

• Flexible working as standard

• Enhanced parental leave policies

• 9% cash flex fund which can be used towards a variety of benefits (pension top-up, annual leave top-up, gym memberships, healthcare cash plan, workplace ISA, etc.)

• OVO community – opportunities for L&D and community involvement

Please note OVO are unable to offer visa sponsorship.