Work with engineers, consultants, product teams and other stakeholders to understand their needs and translate sometimes ambiguous questions into well‑defined analytical problems. Develop and implement data‑driven solutions to solve real‑world business problems across the company. Use SQL, Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools, workflows and data‑driven products where appropriate. Develop reproducible and maintainable analytical code, following best practices, including version control, testing, and peer reviews. Contribute to the development of analytical and data science capability across the business by sharing approaches, reusable methods and good practice

About you To be successful in this role you’ll need: Essential skills:

Experience applying data and analysis to real-world business, engineering or operational problems. Strong analytical problem-solving skills, with the ability to take an initially ambiguous question and determine an appropriate analytical approach. Ability to work on projects independently and own deliverables. Strong proficiency in Python for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit‑learn). Proficiency in data querying languages (e.g., SQL). Solid understanding of software engineering best practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real-world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills, capable of effectively engaging with and presenting findings to both technical and non‑technical audiences. Understanding of data governance, privacy, responsible AI and other relevant standards. Knowledge of the engineering industry and its challenges. Experience with one of the major machine learning frameworks (TensorFlow or PyTorch). Knowledge of mathematical optimisation methods, such as linear, integer or constraint optimisation, and associated tools (e.g. OR‑Tools). Experience with MS Fabric or equivalent data warehousing solution. Experience working in a cloud computing environment. Familiarity with containerisation and deployment technologies (e.g., Docker, CI/CD pipelines).

For candidates joining atSeniorlevel, we would additionally expect you to lead more complex or ambiguous analytical projects, shape analytical approaches and overarching priorities, work independently with senior stakeholders, review and support the work of others, and help raise analytical standards across the team. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list. #J-18808-Ljbffr

Exploring the types of data needed to effectively trade the GB intraday power market Building, improving and maintaining models to forecast electricity demand and renewable generation, primarily in GB but developing into all of Western Europe; Finding high quality, novel data sources to base our forecasts off of; Development on forecasting framework and tools; Maintaining and automating forecasting processes, whilst building in checks and alerting; Utilising these forecasting models to build or enhance our price forecasts Collaborating with Trading, Renewables, Flexibility and other teams to utilise our combined knowledge and data.

What You’ll Need

Experience with Python is essential; A good understanding of what forecasting techniques to use and the ability to build a simple baseline and quickly iterate; Ability to communicate your approach, including its strengths and limitations; Able to quickly understand commercial and industry concepts; Team player excited at the idea of ownership across lots of different projects and tools; Passion for driving towards Net Zero; Experience with Machine Learning is essential; Experience in the electricity industry in GB would be useful but not required.

Why else you’ll love it here Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it’s something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don’t advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn’t apply to Octopus - what’s more important to us is finding the right octofit! Octopus Energy Group is aunique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership Visit our UK perks hub - Octopus Employee Benefits If this sounds like you then we'd love to hear from you. P.S. Our process usually takes up to 4 weeks, but we’ll always do our best to flex around what works for you. Along the way, you’ll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at talent@octoenergy.com and we’d love to help! Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone. #J-18808-Ljbffr

Design smarter games using data‑driven game design. Drive player engagement and longevity. Navigate a high‑energy iGaming environment.

About Push Gaming Push Gaming is an iGaming company with a focus on data‑driven game design. Benefits

Health Insurance Paid Time Off

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Driving data-led decision-making in our business, working with stakeholders to help them understand how data & AI can assist them in meeting their requirements. You will assist colleagues in setting strategy for activities using data & AI, informing on the art-of-the-possible and best-practice. The role-holder will use AI/ML and data science techniques to reduce the need for manual work, including analysis of structured numerical data and application of LLMs and similar tools to unstructured data. They will promote an automation-first mindset where possible and use data to tell compelling narratives and communicate in simple language to deliver tangible impact. This will involve using established AI technologies and exploring future AI capabilities. The role-holder will be a vocal proponent of both good data & AI practices and will be able to communicate these ideas to non-experts. They will ensure that high standards of code development are met, including adherence to code management best practices and team policies such as submission and review of pull requests. They will work with the business teams to build knowledge and confidence with data as well as collaborating with colleagues across the Zurich Group internationally to share knowledge and enhance the data analytics capabilities for our collective AI communities.

What are we looking for? Your skills and experience will ideally include:

Strong analytical, structured, and interdisciplinary way of thinking and working, including the ability to think creatively with data and being comfortable with complex and ambiguous problem-solving. Enthusiastic to work on problems which have never been attempted before. Proficient in Python and modern software development practices within a team of developers e.g. use of Git. Experience using SQL and working with databases. Comfortable working with a variety of data sources, both structured and unstructured and very large datasets using distributed computing (e.g. spark). Experience working with LLMs to deliver value in a commercial organisation, including how to manage and monitor LLM-based applications to maximise performance. Experience working with cloud technology, ideally Microsoft Azure and/or AWS. Proven track record of development and deployment of machine learning algorithms, including supervised and unsupervised learning techniques. Excellent collaboration and organisation skills. Proficient communicator, who is comfortable explaining the value of their work to drive adoption and challenge the status quo, both to technical and non-technical audiences. Comfortable working in a business environment where the answer might not be clear-cut yet understanding the need to be practical and to deliver for the business. Ability to think proactively and ‘join the dots’ across a complex landscape to see the bigger picture. An understanding of the importance of team culture, and a demonstrable ability to act as a role model to maintain a culture of curiosity, support and honesty.

Nice to have:

Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks

What will you get in return? Everyone’s different. That’s why at Zurich, we offer a wide range of employee benefits so our people can choose what fits them and their life. Our benefits provide real flexibility so our people can make considered choices and tailor their benefits throughout the year. Our benefits include 12% defined non-contributory pension scheme, annual company bonus, private medical insurance and the option to buy up to an additional 20 days or sell some of your holiday, alongside a range of other flexible benefits. At Zurich we aspire to be one of the most responsible and impactful businesses in the world. Together, we’re creating a brighter future for our customers, our people and our planet. With over 65,000 employees , you’ll feel the support of being part of a strong and stable company that is a long-standing player in the insurance industry. We’ve made a promise to each other and every employee: to focus on sustainable impact, to care about each other’s wellbeing, to use our diverse expertise to be curious and optimistic and to develop the skills needed for our future. If you’re interested in working in a dynamic and challenging environment where your creativity, ideas and contributions are recognised and rewarded, Zurich could be just the place for you. Be part of something great. Our culture At Zurich, our strength comes from the diverse experiences, perspectives and talents of our people. Our goal is to create a workplace where every employee can flourish and where everyone feels valued, heard and respected. Over a quarter of our employees are members of at least one of our inclusion communities (Employee Resource Groups), with groups focused on areas such as social mobility and cultural awareness. We’re proud to have received numerous industry awards recognising our diversity and inclusion policies and initiatives. We’ve created an environment that places real importance on our people’s wellbeing from a physical, mental, social and financial perspective. We work with our wellbeing partners and industry experts to provide practical advice and access to a wide range of lifestyle support, alongside opportunities to learn, grow and develop the skills needed for the future. We actively support our employees to give back to their communities through volunteering and charitable activity. Our charitable arm, Zurich Community Trust, is one of the longest - established corporate trusts in the UK. Together, we’ve supported causes across the UK through grants and volunteering, contributing over £100 million in funding and volunteered time. Your application We’re committed to treating all applicants fairly and with respect, irrespective of their actual or assumed background, sexual orientation, disability or any other protected characteristic. As an inclusive employer we also want to ensure that all candidates feel comfortable and are able to perform at their best during the interview. You’ll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply. So, make a difference. Be challenged. Be inspired. Be supported. Love what you do. Work for us. The financials

12% defined non-contributory pension scheme. Annual company bonus. Income Protection. Life cover - four times your salary.

Time away

28 days holiday a year plus bank holidays. You can also request to swap UK bank holidays for days off that have cultural or religious significance to you. The option to buy up to an additional 20 days or sell some of your holiday. Three days paid volunteering. Up to 16 weeks' full pay for maternity, paternity and adoption leave.

Your health is important to us

Access to Private medical insurance. Virtual GP appointments. Discounted gym membership. Free flu jab. Access to a wealth of support from our wellbeing partners.

We're making a difference

Creating a brighter, more sustainable future underpins all that we do here in Zurich. We were the first insurer to sign the 'UN Business Ambition for 1.5C' pledge. Our charitable arm, Zurich Community Trust, has awarded grants and volunteered time to deserving causes in the UK valued at over £90 million.

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