Senior Data Consultant

Senior Data Consultant

Disruptive Global Strategy Consultancy

Hybrid / London

£65k - £75k plus bonus & equity

Omnis Partners is delighted to be partnered with a disruptive, innovative strategy consultancy, hiring for highly commercial and strategic Senior Data Consultants with an array of expertise across the data lifecycle and a digital first mindset. You will spearhead the design, shaping and delivery of innovative data science, AI and analytics solutions for a portfolio of clients. This individual will play a pivotal role in seamlessly aligning technical solutions with business objectives, ensuring clients realise maximum value from a range of data products and solutions.

Key Responsibilities:

Solution Design & Delivery

• Collaborate with clients to understand their business challenges, objectives, and data needs.
• Design end-to-end data solutions in partnership with engineering and consulting teams, from discovery to deployment, tailored to client goals.
• Oversee technical delivery teams in delivering solutions that deliver maximum commercial impact and value return for the client.

Client Engagement & Strategy

• Act as the primary point of contact for clients during project lifecycles, ensuring clarity and alignment on deliverables from a practical and commercial perspective.
• Provide thought leadership and guidance to clients on data-driven strategies and emerging trends.
• Translate technical concepts into commercially orientated, business-focused insights and solutions, facilitating informed decision-making for stakeholders.

Collaboration

• Collaborate with multidisciplinary teams, including Data Architects, Developers, Data Scientists, Engineers, and Analysts, ensuring alignment with project timelines and client objectives.
• Partner with sales and business development teams to identify opportunities for upselling and expanding client engagements.

Technical Knowledge

• Oversee the design and implementation of scalable data pipelines, machine learning models, AI products and advanced analytics platforms.
• Stay abreast of industry trends, tools, and technologies to ensure solutions remain cutting-edge and competitive.
• Ensure adherence to best practices in data , ML, AI and engineering.

Experience Required:

• Educated to degree level in Data Science, Machine Learning, Physics, Chemistry, Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field.
• Proven experience in data science, analytics, AI or engineering fields.
• Proven track record of successfully delivering complex data projects, with demonstrable problem-solving skills, and a focus on delivering practical, commercially impactful solutions.
• Strong commercial track record in a formal consulting environment.
• Ability to wear multiple hats; elements of pre-sales, solution architecture, product management, business analysis and ongoing consultancy to ensure client success
• Strong understanding of a range of technical programming languages and experience in machine learning frameworks, including architectural design and data platforms.
• Knowledge of cloud platforms (AWS, Azure, or GCP) and data engineering tools (e.g., Spark, Kafka).
• Exceptional communication skills, with the ability to influence technical and non-technical stakeholders alike.