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Senior Data Scientist – Semantic Chunking

$180,000-$200,000 base + bonus + benefits

Remote

About the Organization

Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a hands-on, model building / development-focused role-ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments. You’ll serve as a technical expert in semantic chunking, information retrieval and RAG.

What You’ll Bring

• 5+ years of machine learning and NLP modeling experience in applied research and production environments
• PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
• Technical leadership experience required; direct people management a plus
• Experience with LLMs and agents for financial services, legal or compliance
• Background in: NLP: semantic chunking, Named Entity Recognition / NER, information extraction, and information retrieval
• Cloud environments (provider-agnostic), AWS or GCP a plus
• Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
• Publication and patent history a plus
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on NLP products
• Experience delivering LLM-based solutions
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retrieval Augmented Generation | Agents | Agentic AI | Generative AI | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval |Semantic Chunking

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Lead Customer Insights Analyst

£70,000 – £90,000 + bonus

Hybrid – Manchester (2 days per week)

This is a senior leadership role for someone who wants to shape how customer insight is embedded across an organisation. You will sit at the centre of strategy, analytics and transformation, building the frameworks, data foundations and ways of working that enable high impact, decision ready insight at scale.

The Company

They are a large, complex organisation with a strong focus on customer experience and data driven decision making. Customer insight sits at the heart of their transformation agenda, supporting senior leaders to act with confidence. The environment is collaborative, fast moving and focused on long term value creation through analytics and AI.

The Role

• Lead the strategic enablement of a central insights capability, focusing on scalable, self service analytics
• Design and maintain a holistic 360 degree customer view across internal and external data sources
• Build and embed frameworks, standards and reusable assets for analytics and insight generation
• Drive the development of data infrastructure, governance and quality to support trusted insight
• Champion innovation in advanced analytics, machine learning and AI, evaluating and adopting new approaches
• Translate complex analysis into clear, actionable recommendations for senior stakeholders
• Coach and mentor analytics professionals, raising analytical maturity across the organisation
• Lead and contribute to enterprise wide initiatives that link insight to measurable business outcomes

Your Skills and Experience

• Strong commercial experience in customer insight, analytics strategy and transformation
• Deep capability in data architecture, integration and connectivity across multiple data sources
• Advanced knowledge of machine learning, predictive modelling and modern analytics frameworks
• Proven ability to design integrated customer data assets that support decision making
• Excellent stakeholder management skills, with confidence influencing senior leaders
• Ability to synthesise complex data signals into clear, impactful insight
• Experience working in highly regulated or complex environments is beneficial

What They Offer

• Competitive salary and performance related bonus
• Opportunity to shape an enterprise level customer insight strategy
• Clear scope for career progression within a growing analytics leadership function
• Supportive culture with a strong focus on learning, innovation and impact

How to Apply

If you are looking to lead customer insight strategy and drive meaningful transformation through data, apply now.

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SOFTWARE MANUFACTURING LEADER

Dallas, Texas, United States (On-site)

The Role

We’re hiring a Software Manufacturing Leader to drive global manufacturing technology transformation across a large-scale industrial environment.

This is a senior executive role with ownership of manufacturing systems, data platforms, AI/ML strategy, and infrastructure modernization. You’ll define and execute the technology roadmap enabling factory expansion, throughput improvement, and cost efficiency.

What You’ll Drive

• Manufacturing technology strategy across production environments
• Data and platform modernization for real-time operational insights
• AI/ML adoption (predictive maintenance, yield optimization, forecasting)
• Cloud and infrastructure strategy to support scale
• Modern software practices (DevOps, CI/CD, agile)
• Global team leadership and cross-functional alignment

Technology Focus

• Real-time data platforms and unified data architecture
• Cloud-native and hybrid infrastructure
• Manufacturing systems (MES, process control, yield systems)
• Automation, IoT, robotics, and computer vision

What You Bring

• 15+ years leadership experience in manufacturing or industrial environments
• Proven track record driving large-scale technology transformation
• Deep experience in AI/ML, data platforms, and cloud infrastructure
• Strong background in manufacturing systems and automation
• Experience leading global teams and delivering measurable operational impact

Why This Role

• Executive ownership of manufacturing technology at global scale
• Direct impact on operational performance, cost, and expansion
• High visibility with senior leadership
• Opportunity to drive next-generation manufacturing through AI and automation

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Senior Analyst

London – Hybrid

Up to 60k

This is a senior individual contributor opportunity where you will take ownership of critical revenue and customer metrics in a data driven subscription focused organisation.

The Company
We are a large, digital first media organisation with a global audience and a strong commitment to long term sustainability. We are owned by a trust with no private investors, which means no paywalls and a clear focus on reinvesting revenue into the product and the reader experience. Most of our income comes from subscriptions and reader contributions, supported by advertising. Analytics sits at the heart of how we grow, retain and understand our readership.

The Role

You will play a key role in improving how lifetime value and performance are measured, trusted and used to drive readership growth and retention.

• Own lifetime value and core performance metrics across marketing and reader revenue
• Build, fix and improve Lifetime Value models, supporting a move towards a more unified customer view across products
• Maintain and enhance data models, including supporting and improving dbt models to ensure reliability and performance
• Own key dashboards used across the business, ensuring they run correctly, are accurate and trusted, rather than building them from scratch
• Provide strategic analytical input into experimentation and A/B testing beyond business-as-usual activity
• Partner with stakeholders across marketing, reader revenue and strategy to interpret metrics and support growth initiatives
• Contribute to longer term insight work including customer segmentation, readership behaviour and revenue planning

Your Skills and Experience

• Strong commercial experience operating as a senior analyst
• Proven ownership of lifetime value or similar customer revenue metrics
• Experience with attribution and marketing performance analysis
• Advanced SQL skills and strong hands-on experience using Python
• Experience working with Power BI or Tableau to support insight and reporting
• Comfortable working independently and supporting senior

What We Offer

• Salary up to £60,000 plus a competitive benefits package
• Hybrid working with three days per week in a central London office
• A high impact role with ownership of business models and metrics
• The opportunity to influence how analytics supports readership growth and long-term revenue

How to Apply
Apply now to find out more about this opportunity.

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Customer Insight Lead
London/Bournemouth
60-80k

We are hiring a Customer Insights and Strategy Transformation Lead to define and connect the customer insight vision across analytics, BI and self service reporting. This role blends strategic direction with hands on delivery, ensuring insight directly shapes customer outcomes and commercial decisions.

This is a high visibility opportunity to sit at the centre of data, insight and decision making. You will have real influence over how customer insight is used across the organisation, with the mandate to improve ways of working, build scalable capability and raise confidence in data as a strategic asset.

The Company
We are working with a large, well established organisation operating in a highly regulated, customer focused environment. The business places growing importance on analytics and customer insight to drive strategy, transformation and performance. With teams based across multiple UK locations, they offer a collaborative culture and a strong commitment to hybrid working and long term investment in data capability.

The Role

• Own the customer insight vision and operating model, aligning analytics, BI and self service reporting.
• Act as the strategic bridge between data, technology, insight and business change.
• Work closely with analytics, insight and data science leaders to prioritise and deliver high impact insight.
• Translate complex analysis into clear, actionable recommendations for senior stakeholders.
• Champion a customer first mindset, embedding insight into strategy, transformation and day to day decisions.
• Remain hands on with analysis, tooling and insight delivery, not just oversight.
• Improve trust, governance and consistency in customer data and insight outputs.

Your Skills and Experience

• Strong commercial experience in customer analytics or customer insight leadership roles.
• Advanced SQL skills and strong experience using Power BI or similar BI tools.
• Working capability in Python for analysis, modelling or data exploration.
• Experience building or supporting predictive insight, models or analytical frameworks.
• Deep understanding of self service reporting and scalable insight delivery.
• Proven ability to own senior stakeholders and drive insight through to measurable impact.

What We Offer

• Hybrid working, typically two days per week in the office.
• A high impact role with scope to shape customer insight capability for the long term.
• Clear opportunity to influence strategy, transformation and analytics maturity.

How to Apply
Apply through Harnham to learn more about this opportunity and discuss your suitability in confidence.

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Account Analytics Analyst

London – Hybrid

45-50k

This is an opportunity to join a growing analytics team where data sits at the centre of marketing decision making. We work with high profile consumer brands and give analysts real exposure to clients, varied datasets, and meaningful commercial impact from day one.

The Company
We are a global marketing and technology organisation focused on helping businesses understand and engage their customers more effectively through data. By combining analytics, marketing expertise, and technology, we support brands in delivering personalised digital campaigns and measuring real outcomes. Analytics plays a central role in everything we do, with senior leadership closely involved in day-to-day work.

The Role

We are looking for an analytically driven professional to help us evaluate digital marketing campaigns, uncover customer insights, and turn complex data into clear, commercial recommendations for our clients.

• Analyse digital marketing campaigns to understand performance, audience behaviour, and business impact
• Use SQL to manipulate large online and offline datasets and deliver actionable insights
• Support audience analysis and segmentation to help clients reach and engage the right customers
• Evaluate what has worked, what has not, and recommend next steps for future campaigns
• Work with transactional and customer data to identify trends, value segments, and VIP customers
• Collaborate with account, media, and technology teams and contribute to client discussions and presentations

Your Skills and Experience

• Commercial experience in analytics within marketing, digital, media, consultancy, or a related environment
• Confident using SQL for hands on data analysis
• Experience with a data visualisation tool such as Tableau, Power BI, or similar
• Understanding of digital marketing, advertising, or CRM data, with curiosity to learn more
• Ability to turn analysis into clear, engaging stories for non technical stakeholders
• Comfortable working collaboratively and engaging with clients

What We Offer

• Competitive salary and comprehensive benefits package
• Exposure to well known consumer and retail clients
• Clear progression within a growing analytics function

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Principal Data Scientist

London – UK Wide Travel Expected

If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.

THE COMPANY

This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.

THE ROLE

As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.

• Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
• Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
• Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
• Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
• Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics

YOUR SKILLS & EXPERIENCE

• Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
• Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
• Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
• Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
• Hands-on experience building models and turning prototypes into robust, production-ready solutions
• Experience leading teams or technical workstreams in a project environment
• UK citizenship (for security clearance purposes) and willingness to travel across the UK 3 days per week, depending on client needs

Nice-to-have experience:

• Background in a consulting environment or a high-performing in-house DS/AI team
• Exposure to sectors such as defence, public sector and consumer/retail
• Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
• A mix of technical, product and operational experience – comfortable talking both code and business outcome

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