Hybrid requirements: This role has flexible working patterns.
We have an exciting opportunity for a Data Science, Manager to join our London team!
The Data Science Manager will be a bridge between data Engineering & Architecture and the data science team. This is a key role within Ekimetrics, your focus being on digital strategy and transformation initiatives that will lead to significant, value-led transformation for our clients. You’ll be acting as a strategic partner to our clients, gaining a deep understanding of their needs and offering the most effective solutions, providing impactful and useful insights to help steer their revenue or data strategies, and building long-term relationships.
You will be responsible for bringing clients’ proof of concepts to life or leading the development of new solutions. This role will require a blend of strategic thinking, business acumen, an understanding of Gen AI, and most importantly project management skills.
AccountabilitiesOverview:· Be part of commercial activities, pitching to prospective clients· Steer and manage large projects for globally recognised clients -· Manage end-to-end Data Science & AI projects, including, planning, design, and implementation.· Work on Data Science transformations working with Gen Ai, LLM’ & NLP’s· Create real valuable actionable solutions for clients.· Manage and coach a small team of 3-10 consultants.· Be a HR mentor responsible for the growth of junior employee’s career development.
About YouWe are looking for someone who is able to wear 2 hats – the data scientist and the strategic consultant – and so you’ll need to show both advanced technical acumen and a strong interest in business strategy.
Requirements· A degree in Computer Science / Engineering with 5+ years of back-end development OR experience in developing advanced algorithms.· Prior experience using Data Science & AI /Data Architecture/DWH/Data-lakes in a business setting, preferably in a client-facing, consulting-oriented role;· Experience developing and deploying production-ready Data Engineering pipelines.· Expertise in key technologies related to Data Management, e.g. SQL, Spark, Python· Experience with the Azure cloud platform· Experience with Advance Python Libraries I.e., Pandas, Pyspark· Experience with development best practices (git, testing, coding standards, CI/CD, documentation, code refactoring…)· A love of data and understanding of some algorithmic / analytics such as decision tree, clustering, NLP, regression, graph theory, neural networks etc.· Expertise in some aspects of Data Management and readiness to grow in others:o Data analytics architectures;o Data governance processes and platforms;o Data ingestion & transformation in data warehouses or data-lakes;o Data visualisation.· Experience in Private Equity (PE) or in sustainability using AI
Transversal Skills
People are at the centre of who we are at Ekimetrics, so as well as excellent technical skills, it’s important that you also have the following:· Excellent communication skills – especially translating complex technical findings into insights and stories for stakeholders (internal and external);· A demonstrated ability to develop new and long-lasting client relationships at senior levels across multiple industries and sectors;· An ability to work autonomously and be self-motivated;· A team-oriented and collaborative working style, both with clients and within Ekimetrics;· People management experience and demonstrated ability to develop younger talent and build a high performing team, (this doesn’t necessarily mean you have directly managed a team; this could relate to mentorship, project team management, etc.);· Project management and delivery expertise; and· A passion for joining a small team and desire to help the business grow quickly.
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Role tech stack

Please refer the Job description for details