A boutique insight and strategy consultancy, dedicated to creating impactful strategies for top-tier consumer goods clients. They have steadily grown their client relationships, headcount, and revenues over the past 8 years. Their flat management structure fosters a collaborative and innovative environment where every team member has a significant voice in shaping their future.

• Strategic Leadership: You will grasp C-suite clients’ commercial needs, leading complex projects using advanced quantitative methods, to guide them in making strategic decisions.
• Client Relationships: You will grow and nurture key client relationships, becoming a trusted advisor and problem solver while pitching for and winning ad-hoc strategic projects.
• Insight Integration: You will get to work with multiple insight sources, distilling key findings into actionable recommendations.

• Experience with creating sizing and growth models for segmentations and demand spaces.
• Expertise in advanced quantitative techniques like clustering, regression, and drivers’ analysis.
• Proficiency in manipulating different data sources (e.g. survey, sales) in Q or R.
• A confident storyteller and presenter, comfortable owning senior client relationships.

Since its inception in the last 10 years, our client has pioneered Causal AI—a groundbreaking advancement in machine intelligence. They’ve launched decisionOS, the first enterprise decision-making platform powered by Causal AI, and have raised $40+ million in Series A funding. Recognised by Gartner and included in Otta’s 2022 Rocket List, our client is at the forefront of AI innovation, helping businesses across various sectors make informed, impactful decisions.

• Own Value Delivery: Lead the value framing and delivery during pre-sales and post-sales, ensuring alignment with data science teams, use case owners, and executives.
• Act as Technical Expert: Conduct and coordinate demos and platform trials, showcasing the business value of the client’s solutions.
• Define Deliverables: Own technical deliverables and customer success during the pre-sales period.
• Identify Opportunities: Look for upselling and cross-selling opportunities within the existing customer base.
• Collaborate Across Teams: Work with Commercial, Product, and Engineering teams to meet customer priorities and achieve pre-sales success.

You are a strategic thinker with a solid foundation in AI and pre-sales experience. To excel in this role, you should have:

• Experience: At least 2 years of pre-sales experience in an enterprise analytics company or consulting. Ideally with familiarity with Machine Learning/AI
• Enterprise Deals: Proven experience supporting large enterprise software deals.
• Commercial Acumen: Excellent commercial awareness and the ability to influence senior stakeholders with a creative, problem-solving approach.
• Education: Bachelor’s degree or higher in Computer Science, Engineering, or related fields.

They are seeking a “Value Consultant” (covers pre and post sales solutions) to join their dynamic team in London. This role offers a unique opportunity to work closely with the Director of Value Engineering, fostering personal development while contributing to a platform designed to optimize every business on the planet.

As a Value Consultant, you will collaborate with world-class engineers, data scientists, and commercial executives to elevate their platform as a leader in tech. Your role will involve identifying customer pain points and crafting innovative solutions using their platform. Your responsibilities will include:

– Leading value framing and delivery during pre-sales and post-sales for stakeholders including data science teams, use case owners, and executives.

– Engaging with subject matter experts to uncover market limitations and identify where Causal AI can add value.

– Acting as a technical expert in client meetings, conducting demos, and coordinating platform trials to showcase the business value of their solutions.

– Defining technical deliverables and ensuring customer success during the pre-sales period.

– Identifying upselling and cross-selling opportunities within their customer base.

– Collaborating with commercial, product, and engineering teams to ensure customer priorities are met, delivering ROI and success in the pre-sales process.

– Bachelor’s degree or higher in Computer Science, Engineering, or related fields.

– 2+ years of pre-sales experience at an enterprise analytics company or consulting experience.

– Proven track record in supporting large enterprise software deals.

– Experience with ML/AI technologies.

– Domain expertise in one or more of the following verticals: Retail, FMCG, Banking, Manufacturing, Marketing Analytics, Consumer Goods, Supply Chain.

– Strong commercial awareness and the ability to influence and guide senior stakeholders on technical solutions.

– A creative, problem-solving approach and motivation driven by business growth.

– Ability to work effectively in a diverse and complex organization, engaging with multiple verticals.

You’ll be at the forefront of AI innovation, working to solve real-world business problems with cutting-edge technology. They offer significant opportunities for personal and professional growth, a collaborative work environment, and the chance to make a tangible impact on leading businesses globally.

**Apply Now:**

If you’re a strategy consultant with strong platform analytics and AI experience or have worked in an enterprise analytics company, ready to take on an exciting challenge and drive real business value, they want to hear from you!

Strategic Insight:

Uncovering answers to your unique questions is their forte. They understand that each client faces a unique set of circumstances and has specific questions needing tailored answers. Their approach is customized, offering a range of services:

• Qualitative & Quantitative Research
• Data Science & Data Analytics
• User Research & Predictive Modelling
• Behavioural Economics & Scenario Planning
• Market Sizing & Understanding
• Segmentation & Digital Ethnography
• Demand Space Segmentation

As a Senior Quantitative Research Director, your primary focus will be winning new clients, leading impactful projects, and delivering exceptional work. You will ensure the achievement of financial and strategic goals, secure repeat business, attract new clients, and maintain excitement for what they do.

You will be part of a Director-level only team, where you will leverage your expertise in complex statistical analysis to create strategic recommendations from data. Your role will involve working independently and as part of a small global team, being hands-on with all aspects of the work.

• Client Acquisition & Management: Win new clients and maintain strong relationships with existing ones.
• Project Leadership: Lead large-scale strategic consulting projects and quant-centric projects such as segmentations and demand spaces.
• Hands-On Involvement: Engage in every aspect of the work, from data analytics and modelling to creating strategic recommendations.
• Team Collaboration: Work independently and as part of a small, global team of senior directors.
• Expertise Utilisation: Leverage your expertise in complex statistical analysis to drive successful outcomes.
• Strategic Recommendations: Develop and deliver strategic insights and recommendations based on quantitative data.

• Proven track record of winning and leading large-scale integrated projects as well as quant-focused projects.
• Extensive experience in complex statistical analysis and creating strategic recommendations from data.
• Strong expertise in data analytics, modelling, and quant research.
• Ability to work independently and collaboratively within a senior-level team.
• Hands-on approach to all aspects of quantitative research and analysis.

Their enterprise platform goes beyond predictions and provides insights around AI and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, retail, supply chain, telecoms, utilities, etc. Off the back of Series-A Funding, they are growing at a phenomenal rate!

The Senior Data Scientist will be working on the development of AI-driven models and decision applications using their technology to directly impact client business needs.

You will work alongside researchers, engineers, and executives and work directly with their customers to solve their client’s most pressing business needs

Key attributes of the suitable Senior Data Scientist include:

• At least 3 years of experience in a commercial data science role
• Strong communication skills with the ability to explain to both technical and non-technical stakeholders
• Experience in Retail, Supply Chain, Financial Services, Telecoms, Public Sector, etc.