To Apply for this Job Click Here

Lead Data Scientist – Leicester (Hybrid)

We’re partnering with a well-established eCommerce organisation based in Leicester that is expanding its data capability. They’re looking for a Technical Lead Data Scientist to play a key role in shaping, delivering, and scaling high-impact data science solutions across the business.

This is a hands-on leadership role where you’ll combine deep technical expertise with the ability to guide teams and influence senior stakeholders.

What you’ll be doing:

• Lead the end-to-end development, deployment, and optimisation of data science projects in a production environment
• Design and build advanced machine learning models using customer data, including churn prediction, customer segmentation, and recommendation systems
• Provide technical leadership and mentorship to data scientists, setting best practices and raising overall capability
• Collaborate closely with stakeholders across the business, from C-suite executives to junior team members, translating complex technical concepts into clear, actionable insights
• Help shape the data science roadmap and contribute to strategic decision-making within the organisation

What we’re looking for

• 4+ years’ commercial experience working as a Data Scientist
• Strong programming skills in Python and SQL, with hands-on experience using PyTorch and TensorFlow
• Proven experience working on customer-focused or personalisation-driven data science problems (e.g. churn, recommendations, segmentation)
• Excellent communication skills, with the confidence to engage and influence both technical and non-technical stakeholders
• Experience leading projects or providing technical direction to others (formal leadership not essential)

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Data Scientist
Full Remote (From the US)
Salary up to $210K base + bonus

A large, global technology-led organisation operating in a mission-driven, data-intensive domain. The business designs and scales complex digital platforms used by millions of end users worldwide, combining advanced data science, AI, and product engineering to drive measurable real-world impact.

Mission

• Act as technical lead for high-impact Data Science and AI initiatives across the organisation
• Define architectures, methodologies, and best practices for complex DS/AI and GenAI problem spaces
• Lead the design and delivery of production-grade AI systems, with particular focus on LLMs and generative AI
• Drive strategic initiatives by aligning DS/AI priorities with business and product objectives
• Mentor senior and junior data scientists, setting technical direction and raising engineering standards
• Own multiple projects simultaneously: scoping, prioritisation, delivery timelines, and stakeholder alignment

Profile

• PhD or equivalent in Data Science, Applied Mathematics, Statistics, or related field
• Senior-level experience: typically 6-10+ years in DS/AI roles, including leadership at Principal / Staff level
• Demonstrated technical leadership: defining strategy, owning complex initiatives, and mentoring teams
• Deep hands-on experience with production-scale DS/AI systems, with a strong recent focus on Generative AI / LLMs
• Expertise in LLM architectures, orchestration frameworks, and AI governance (guarding, scaling, monitoring, reliability)
• Strong understanding of MLOps / LLMOps in enterprise environments

To Apply for this Job Click Here

To Apply for this Job Click Here

RGM / RTM Analyst

Amsterdam

Overview

A global FMCG organisation is investing heavily in data-driven commercial decision-making and is delivering a greenfield Commercial Data Lake programme to support key Route-to-Market (RTM), Business Performance Management (BPM), and Revenue Growth Management (RGM) initiatives.

This role sits within the global Commercial Data Lake function and works closely with senior commercial stakeholders, IT, BI teams, and external partners.

The Role

The RGM / RTM Analyst will play a key role in translating commercial requirements into high-quality analytics and reporting solutions. With an initial regional focus on South America, the role will support global initiatives and contribute to the development of advanced analytics and AI-driven use cases.

Key Responsibilities

• Gather and refine reporting requirements from global commercial stakeholders
• Translate business needs into clear technical specifications
• Design, build, and maintain Power BI dashboards, templates, and reports
• Support data discovery, feasibility analysis, and gap assessments
• Enable RTM, BPM, and RGM analytics to drive commercial performance
• Contribute to advanced analytics and AI use cases, including predictive modelling

Technology Environment

• Power BI as the core analytics and reporting platform
• Data pipelines owned and managed by engineering teams
• Exposure to SQL and Databricks is preferred

Candidate Profile

Essential Requirements

• Proven FMCG experience is mandatory
• Strong hands-on Power BI experience (Tableau also considered)
• Demonstrated understanding of Route-to-Market analytics
• Experience working closely with commercial stakeholders and technical teams, including engineers and product owners

Desirable Experience

• Exposure to e-commerce analytics
• SQL and Databricks experience
• Deeper knowledge of Revenue Growth Management principles

Personal Attributes

• Highly detail-oriented with a strong focus on quality
• Clear, confident communicator
• Ambitious, proactive, and comfortable working with pace and urgency
• Open to learning and confident in constructively challenging ideas

Why Apply

• Opportunity to work on a greenfield, global commercial data programme
• High visibility with senior commercial stakeholders
• Chance to influence how commercial analytics is delivered at scale

To Apply for this Job Click Here

To Apply for this Job Click Here

Job Opportunity: Principal AI Engineer | Remote or Hybrid

Location: Remote or Hybrid (HQ in [City])

Role Type: Full-Time

Seniority: Principal / Expert

Start Date: ASAP

About the Company

The company is expanding its AI capabilities to build innovative, intelligent systems that power next-generation products and experiences. With an ambitious roadmap centered on generative AI, advanced machine learning, and large-scale automation, they are seeking a highly experienced Principal AI Engineer to lead technical strategy, guide system architecture, and drive innovation across the organization.

This is a pivotal role that will shape the long-term AI direction, influence key engineering decisions, and deliver solutions that have significant impact on the company’s technical evolution.

The Role

The Principal AI Engineer will act as a hands-on technical leader, responsible for designing, developing, and scaling advanced AI systems. The role involves high-level architectural thinking, applied research, and deep technical execution, including oversight of model development, evaluation, deployment, and optimization.

The successful candidate will collaborate with engineering, data, and product stakeholders to define the AI vision while also mentoring teams and setting engineering standards that enable excellence and innovation.

Key Responsibilities

• Lead the design and development of complex AI systems, including generative AI models, LLM-powered applications, and large-scale machine learning infrastructures.
• Define and drive the company’s AI technical strategy, ensuring alignment with business goals.
• Oversee model experimentation, fine-tuning, evaluation, and deployment into production environments.
• Set best practices for ML engineering, model lifecycle management, security, and governance.
• Provide expert guidance on architecture decisions across data, ML, and application layers.
• Collaborate with cross-functional teams to identify high-impact AI opportunities and translate them into technical solutions.
• Mentor and support engineering teams, elevating technical capabilities across the organization.
• Stay ahead of industry developments, research breakthroughs, and emerging AI frameworks.

Required Experience

• 7+ years of experience in AI/ML engineering, with a strong track record of delivering production-grade AI systems.
• Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
• Extensive hands-on experience working with large language models, generative AI architectures, and related tooling.
• Strong knowledge of model serving, orchestration, distributed training, and scalable inference systems.
• Experience architecting and deploying AI solutions on cloud platforms (AWS/GCP/Azure).
• Proven ability to lead complex AI initiatives, influence technical direction, and guide multidisciplinary teams.
• Strong understanding of data engineering, MLOps, model governance, and ML lifecycle best practices.
• Ability to thrive in a fast-paced environment and navigate ambiguous, greenfield challenges.

What the Company Offers

• A strategic role with significant influence over the AI roadmap and technical foundations.
• Competitive salary, equity, and comprehensive benefits.
• Flexible remote or hybrid working environment.
• Opportunities to work with state-of-the-art AI technologies and contribute to groundbreaking products.
• A culture that values innovation, autonomy, and continuous learning.

To Apply for this Job Click Here

To Apply for this Job Click Here

PRODUCT DATA SCIENTIST
Up to £85,000 | London or Leicestershire | Hybrid (2 days/week in office)

THE COMPANY

discount platform serving 4M+ members across the UK with access to 15,000+ partner discounts. £72M revenue, £375M member savings, expanding globally.

250+ employees with leadership from top consumer tech companies (Depop, Skyscanner, Monzo, Just Eat). Mission-driven culture rewarding key workers. Data-driven decision making at the core.

THE ROLE

Join the Data team as a Product Data Scientist working with Product and Business stakeholders to drive strategy through insight. Similar to Monzo’s Product Data Science model – embedded within product teams, solving problems, informing decisions, guiding strategy.

Reports to Director of Data, works alongside Product Data Analyst, Analytics Engineers, and Data Scientists.

What you’ll do:

• Use quantitative analysis and data storytelling to uncover user behaviour and inform product strategy
• Design and support experiments, generate hypotheses, foster continuous learning
• Define and align key metrics with stakeholders, ensure data accuracy across teams
• Build self-serve dashboards and data tools for quick access to core insights
• Conduct deep-dive analyses supporting strategic initiatives with clear recommendations
• Maintain central Insights Hub with documented reports and metric definitions
• Collaborate cross-functionally to close data gaps and foster strong relationships
• Champion unified data approach and stay current on analytics best practices
• Own problem spaces end-to-end, not just analysis – deliver outcomes

Greenfield opportunity with full ownership, autonomy to identify right questions, design experiments, and drive revenue-impacting decisions.

TECH STACK

Database: SQL (essential – must be strong)
Transformation: dbt (comfortable using, not expert-level required)
Languages: Python (for exploratory analysis, notebooks)
BI Tools: Lightdash / Looker
Version Control: Git
Analytics: GA, product analytics tools, web tracking
Some exposure to basic ML elements (exploratory modelling)

WHAT YOU NEED

• Essential:
• Extensive experience working with data in an analytical fashion in a digitally native tech environment
• Consumer tech or product experience is a must – worked with product teams and business stakeholders
• Strong SQL skills – work independently creating complex queries
• Hands-on Python (or R) experience for exploratory analysis
• Experience with dbt, Lightdash, Looker, or Tableau
• Product analytics background – experimentation, A/B testing, user behaviour analysis
• Statistical rigor – appropriately skeptical, understand how to design experiments that isolate real effects
• Strong data storytelling and presentation skills – ability to present convincing, data-led arguments to stakeholders at all levels
• Ability to translate business problems into analytical tasks and communicate insights effectively
• Product-minded approach – care about the “why” behind analyses, can push back constructively
• Self-starter with strong curiosity to understand user behaviour
• Detail-oriented problem solver who can balance rigor with speed
• Team player who is both highly collaborative and individually capable
• Ability to manage your own development and identify opportunities for improvement
• Can deliver and execute, not just analyze – pragmatic problem-solver

Nice to have:

• Experience in membership, subscription, or marketplace businesses
• Exposure to fintech or consumer tech scale-ups
• Background in companies like Monzo, Revolut, Deliveroo, Gousto, or similar product-led consumer tech
• Familiarity with modern data stack tools
• Understanding of affiliate networks or commission tracking

WHAT’S ON OFFER

• Salary: Up to £85,000
• Location: London (Holborn) or Leicestershire – hybrid 2 days/week. London-based: travel to Leicestershire once/month
• Impact: Greenfield opportunity – shape data function, build from ground up
• Strategic: Drive strategy and product decisions, not just reporting
• Mission-Driven: Tech for good – support key workers
• Holiday: 25 days + birthday off + buy/sell scheme (up to 5 days)
• Bonus: Company bonus scheme
• Health: BUPA medical insurance (covers pre-existing conditions) + healthcare cashback
• Benefits: Membership with 15,000+ discounts, pension, enhanced parental leave, EAP
• Perks: Free parking & EV charging at HQ, onsite gym, modern offices, social events, strong L&D culture

INTERVIEW PROCESS

1. 45 minute Teams with Director of Data – work experience, current situation, more about the role
2. 1 hour Teams with Director of Data + Data Team member – case study presented during interview (two prompts on experimentation, product thinking, structured problem solving)
3. 1 hour in-person meeting with 10 minute presentation on past experience
4. Potential short Teams with CPO (TBC)

Timeline: 3-4 weeks

HOW TO APPLY

Send your CV to Mohammed Buhariwala at Harnham.

Keywords: Product Data Scientist, Product Analyst, Product Analytics, Data Scientist, SQL, Python, dbt, Looker, Experimentation, A/B Testing, Consumer Tech, Fintech, SaaS, London, Hybrid

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Analyst – Contract

Job Title: Lead Data Analyst (12-Month Fixed-Term Contract)

Location: Amsterdam

Contract: 12-month fixed-term contract

Start Date: Mid January

About the Role

We are seeking an experienced Lead Data Analyst to join our team on a 12-month fixed-term contract. This role will play a key part in delivering data-driven insights across the business, with a strong focus on pricing analysis and performance. You will lead analytical initiatives, working closely with commercial, sales, and finance teams to support pricing strategy and decision-making through high-quality reporting and analysis.

You will be hands-on with Looker, Salesforce, SQL, and Python, and will act as a technical lead, setting best practices and guiding other analysts where required.

Key Responsibilities

• Lead the design, development, and maintenance of dashboards and reports using Looker, including pricing and revenue performance dashboards
• Analyse and model data from Salesforce and pricing systems to support pricing strategy and optimisation
• Deliver insights on pricing performance, discounting, margin, and revenue trends
• Write efficient and well-structured SQL queries to extract and transform data
• Use Python for advanced pricing analysis, forecasting, automation, and data processing
• Partner with commercial, sales, and finance stakeholders to understand pricing requirements and translate them into actionable insights
• Ensure data accuracy, consistency, and governance across pricing and commercial reporting
• Provide technical leadership and mentoring to other analysts
• Contribute to continuous improvement of analytics tools, processes, and documentation

Skills & Experience

• Proven experience as a Senior or Lead Data Analyst
• Strong expertise in Looker (dashboarding, LookML preferred)
• In-depth experience working with Salesforce data
• Advanced SQL skills
• Practical experience using Python for data analysis
• Experience delivering pricing, commercial, or revenue analytics
• Strong stakeholder management and communication skills
• Ability to work independently and deliver within a fixed-term contract environment

Desirable

• Experience with pricing models, discount structures, or revenue optimisation
• Exposure to cloud data warehouses (e.g. BigQuery, Snowflake, Redshift)
• Previous experience leading or mentoring analysts

What We Offer

• A key leadership role with ownership of pricing and commercial analytics
• Opportunity to make a tangible impact within a 12-month period
• Competitive day rate or salary (depending on contract structure)
• Flexible working options

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

London – (3 days a week in office)

Up to £100,000

About the Role

Our client is an data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They bring together expertise across data, technology and delivery to build and deploy advanced analytics solutions that have real-world impact.

As a Data Scientist, you’ll work closely with cross-functional teams to design, build and productionise data science and analytics products within client environments. Your work will be directly tied to value creation, helping organisations make smarter, data-driven decisions.

Key Responsibilities

• Understanding business challenges and translating them into value-linked data science solutions.
• Working closely with data engineers to define data requirements and pipelines.
• Performing exploratory data analysis and recreating key business KPIs.
• Feature engineering in collaboration with machine learning engineers, ensuring production-ready standards.
• Developing, deploying and maintaining machine learning models.
• Evaluating project impact through experimentation and A/B testing.

Your work will focus on delivering high-value insights and solutions, including:

• Building optimisation models to improve efficiency and throughput.
• Developing predictive models to reduce risk and prevent downtime.
• Designing churn prediction strategies to improve customer retention.
• Identifying next-best actions to support sales and commercial teams.
• Applying geospatial modelling to optimise footprint and location strategy.

What We’re Looking For

• At least 2+ years’ experience applying data science to deliver commercial impact.
• A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject).
• Strong Python skills (Pandas, NumPy, Scikit-learn or similar).
• A collaborative mindset with excellent communication skills.
• Experience working in cross-functional teams delivering production-ready solutions.

If this role looks of interest, apply below.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist

Up to £110,000

London (Hybrid, 4 days onsite per week)

About the role:

Join a leading corporate venture capital firm, within the secondaries space who invest and partner with start-ups across multiple industries, helping them scale and achieve global impact.

Key Responsibilities:

• Collaborate with the deal team to pinpoint where data science can add value to the investment process.
• Create data tools and dashboards to support investment decisions and portfolio monitoring.
• Analyse large datasets to derive actionable insights for investment strategies, effectively communicating these to senior stakeholders.
• Work with the VP of Data and the investment team to improve data solutions.
• Proactively investigate new data science methodologies and technologies to benefit team objectives.

What We’re Looking For:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment

**Please note that this role does not offer visa sponsorship**

To Apply for this Job Click Here