Lead Data Consultant

SR2 | Socially Responsible Recruitment | Certified B Corporation
London
6 days ago
Create job alert

Senior Data Consultant – Food Industry Sustainability


I’m looking for an experienced data consultant to lead projects for clients in the food service and manufacturing industry.


Key Responsibilities:


Leading Technical Data Projects for Food Companies


This start up partners with major food businesses to help them measure, report, and manage their carbon emissions and broader environmental impacts. This includes corporate Scope 3 reporting, life cycle assessments of food products and recipes, and the development of net-zero strategies and transition plans.


In this role you will have responsibility for delivering technical, data-driven assignments with these clients. This involves preparing, handling, analysing, and deriving insights from their data to inform key recommendations and shape sustainability strategies. You should be comfortable working with data using scripts, query languages, and a suite of analytical tools and techniques.

Additionally, you will collaborate with in-house data scientists and engineers to optimise the use of internal platforms, databases, and proprietary data tools to ensure high-quality and efficient delivery for clients.


Leading Client Engagements


Client facing consultancy experience is crucial, you will guide clients in leveraging data to drive their sustainability commitments beyond compliance, providing expertise and advice on how sustainability data can inform their broader goals and objectives.

This role involves managing and strengthening client relationships, acting as the primary point of contact from initial scoping through to final delivery. You will gain a deep understanding of their sustainability data, infrastructure, and challenges, working closely with stakeholders to develop tailored, strategic, and actionable solutions. Additionally, you will identify opportunities for future projects.


Managing and Developing the Team


As a leading consultant, you will lead delivery teams on consulting projects, ensuring successful execution of technical, data-focused assignments. The role includes setting strategic direction, overseeing project timelines, and allocating resources while integrating expertise from internal science and data teams as needed.

There will be lots of mentoring and coaching juniors, fostering their development.


About the Company


Their mission is to help food businesses navigate the transition to net zero by providing data-driven insights and tools. Through a combination of technology and professional services, supporting clients in measuring, reducing, and reporting their environmental impact.

They partner with companies across the food sector to calculate product footprints (carbon, land, and water impact), measure corporate greenhouse gas emissions, implement carbon labels and sustainability claims, and define science-based sustainability objectives.

The team complements their self-service platform and database by offering tailored consulting services, including life cycle assessments, corporate emissions reporting support (e.g., CSRD, SECR, SBTi), and sustainability strategy development.


Requirements:


Must-Haves:


  • 10+ years of experience in a consulting environment.
  • Experience leading consulting projects and delivering evidence-based insights and strategic recommendations informed by technical data analysis.
  • Strong analytical skills with experience handling large datasets using programming languages such as Python, R, or SQL.
  • Experience collaborating with data scientists and software engineers to develop or improve analytical tools.
  • Proven ability to independently lead client-facing projects, including managing relationships and presenting findings to senior stakeholders.
  • Ability to quickly learn new concepts, methodologies, and tools in a fast-paced environment.
  • Experience leading multi-disciplinary delivery teams.
  • Experience mentoring and developing junior staff.
  • Strong attention to detail and ability to work efficiently.
  • Passion for data, sustainability, and the food industry.
  • Excellent communication skills.


Nice-to-Haves:


  • Experience conducting corporate carbon reporting assessments aligned with GHG Protocol standards.
  • Familiarity with sustainability standards such as SBTi (including FLAG) and CSRD.
  • Knowledge of the food sector and its supply chains.
  • Line management experience.


Salary, Location & Benefits:


  • Full benefits package, including holiday, flexible working, volunteering days, and climate-related travel perks.
  • Hybrid work (London Office)


If you’d like to hear more, please apply and I will give you a call.

Related Jobs

View all jobs

Lead Data Migration Consultant

Lead Data Migration Consultant

Functional Data Lead

Lead Data Analyst - Market Research Consultancy

Lead Data Engineer

Delivery Director (Mat Cover)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Careers

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.

Jobs

Job-Hunting During Economic Uncertainty: Data Science Edition

Data science has become essential for modern businesses, enabling data-driven decisions that enhance efficiency, profitability, and strategic foresight. From predictive analytics in finance to recommendation engines in retail, data scientists sit at the crossroads of statistics, programming, and domain expertise, building models that translate raw information into tangible insights. Yet, when broader economic forces create uncertainty—through market downturns, shifting investor priorities, or internal budget constraints—data science roles can experience increased scrutiny, competition, and extended hiring cycles. Despite these pressures, data-driven approaches remain crucial to organizations looking to weather challenges and find opportunities in volatile environments. Whether you’re refining advanced machine learning techniques, fine-tuning data pipelines, or collaborating with business stakeholders on dashboards, your skill set is often still in demand. The key is adapting your job search strategy and personal branding to cut through the noise when fewer roles may be available. This article explores: Why economic headwinds affect data science hiring. Actionable strategies to stand out in a tighter job market. Ways to emphasize your technical and soft skills effectively. Techniques to maintain focus and resilience despite potential setbacks. How www.datascience-jobs.co.uk can help you secure the ideal data science position. By combining strategic thinking, polished communications, and adaptability, you can land a fulfilling data science role that leverages your expertise—even if the market feels more demanding.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.