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Job Title: Junior Data Analyst
Location: London (Hybrid – 2-3 days/week in office)
Salary: £35,000

A well-established professional services firm is seeking a Junior Data Analyst to support its growing analytics and insights team. This is an ideal role for someone with a keen eye for data, looking to build a strong foundation in analytics within a collaborative, commercially focused environment.

The Role:
You’ll work alongside experienced analysts and business stakeholders, helping to transform raw data into clear, actionable insights. From data preparation and cleaning to supporting dashboards and regular reporting, you’ll play a key part in driving smarter decision-making across the business.

What You’ll Be Doing:

• Preparing, validating and analysing data from multiple internal systems

• Assisting with the creation and maintenance of dashboards and regular reports

• Supporting ad-hoc analysis and insight requests from across the business

• Working closely with the senior analytics team to continuously improve data processes

What We’re Looking For:

• Strong Excel and data handling skills (SQL knowledge a plus)

• A methodical, detail-oriented approach to working with large datasets

• Some familiarity with data visualisation tools (e.g., Power BI or Tableau) is desirable

• Eager to learn, with a genuine interest in using data to solve business problems

• Quantitative degree from a leading university is essential

You’ll be based in London 2-3 days a week, with flexibility around remote working. This is a great opportunity to start or build your career in a role where development and learning are encouraged.

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Junior Digital Analyst/Graduate Digital Analyst

Up to £35,000

Hybrid – London

A great opportunity to join a boutique digital agency as a Junior Digital Analyst

THE COMPANY

The business is a boutique digital agency offering a wide range of data and analytics services to clients across various sectors.

Joining the analytics team as Junior Analyst, you’ll focus on analytics projects to help clients improve their digital performance. Whilst also getting opportunities to develop your skills and passion for data analysis and take the next step in your career.

THE ROLE AND RESPONSIBILITIES

• Assist in creating insights reports and dashboards to visualise data insights
• Conducting detailed analysis to identify trends, patterns and actionable insights
• Collaborating with teams to understand data needs and provide analytical support
• Maintaining and updating data management systems
• Assist in implementation and monitoring of digital analytics tools and platforms for clients
• Presenting and working directly with clients

YOUR KEY SKILLS AND EXPERIENCE

• Good experience in web analytics and dashboarding OR BSc in STEM degree subject from leading university (preferably an MSc in Analytics too)
• All candidates will need some level of exposure to SQL and Python
• Strong communication skills
• Interest in digital/web analytics

THE BENEFITS

• Up to £35,000
• Hybrid
• London

HOW TO APPLY

If interested in this role please send your CV

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Geospatial Analytics Manager
Up to £70,000
Hybrid – Leeds (3x days a week)

THE COMPANY
We have partnered with a retail organisation that is looking for a Geospatial Analytics Manager.

THE ROLE
In this role, you will contribute to a range of projects, including location planning, network optimization, targeted marketing, as well as customer clustering and segmentation.

SKILLS AND EXPERIENCE
Strong geospatial experience
SQL or Python
Exposure to GIS tools – especially ESRI
Insight analysis skills

APPLY
Send an email to riversteytler@harnham or apply below to register your interest

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CRM Manager
Up to £75,000
Hybrid – Sheffield (2x day per week)

CLIENT
We have partnered with a finance organisation to source a CRM Manager.

THE ROLE
In this role, you will join the growth team and report directly to the Chief Growth Officer, with a focus on driving customer engagement and retention. You will be responsible for managing the full end-to-end campaign lifecycle across both B2B and B2C segments.

SKILLS AND EXPERIENCE
Proven experience managing end-to-end CRM campaigns focused on customer retention, engagement, and loyalty.
Experience with Braze platform is advantageous.
Basic experience with HTML, CSS or JavaScript.

APPLY
Send an email to register your interest or apply below

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SENIOR FRAUD ANALYST

UP TO £50,000

REMOTE

This role does not offer sponsorship.

This is an exciting opportunity to join this company’s Plastics Fraud Analytics team, who are responsible for the plastics fraud strategies, across all Debit and Credit portfolios.

THE COMPANY

This is an exciting new opportunity to work for a UK top 10 bank offering products across private, retail and business banking. The company are moving to becoming one of the UK’s best digital banks, making it an exciting and innovative business to work for. This company also offer one of the industries most competitive benefits package.

THE ROLE

You will be doing the following daily:

• Optimise and monitor the performance of fraud detection and prevention systems, including associated models.
• Configure fraud systems to effectively manage fraud risk within predefined appetite and budget parameters.
• Conduct analytics to support the setting, tracking, and reporting of the fraud loss budget.
• Prepare and deliver accurate, relevant fraud Management Information (MI) for governance committees, and provide updates in monthly forums.
• Assist plastics fraud analysts with analytics and MI support.
• Provide subject matter expertise (SME) to support and deliver business-wide change initiatives.
• Identify and implement continuous improvements to tools and systems, delivering changes to enhance the plastics fraud team’s operations.
• Assist with external engagements involving third-party suppliers, industry bodies, and law enforcement when required.

YOUR SKILLS AND EXPERIENCE

• Strong previous experience in a Fraud Strategy or Fraud Analytics function in UK Retail Banking.
• Proficiency in either SAS or SQL.
• Knowledge of fraud risks, threats, and landscapes.
• Excellent written and verbal communication skills.

THE BENEFITS

• Up to £50,000.
• 5 days annual leave.
• Up to 5 extra paid well-being days.
• 20 weeks paid, gender-neutral family leave for maternity/paternity cover.
• Market-leading pension.
• Free private medical cover.

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Director of Analytics

Wellness & Fitness

$180,000 – $200,000 + Bonus

Greater Boston Region (Hybrid)

Are you a dynamic Analytics leader and want to work for one of the most prevalent Fitness companies in the industry? If you are a hands-on thought leader in the data domain and can ultimately contribute cross-functionally to an all-inclusive environment, then this might be the best career move for you!

THE ROLE- Director of Analytics

My client is seeking a technically astute Analytics professional to lead a high-impact analytics function that powers data-driven decision-making across the business. In this role, you’ll lead a small team of analysts and work closely with senior stakeholders across Consumer Insights, Operations, and Marketing Insights to deliver insights that drive growth, optimize performance, and improve efficiency.

They are looking for a business-minded analytics leader who combines deep expertise in enterprise and predictive analytics with a strong grasp of digital performance metrics. You’ll play a pivotal role in transforming data into strategic action.

KEY RESPONSIBILITIES:

• Lead the analytics function and mentor a lean team of analysts.
• Design and execute analytics strategies that support business growth, cost optimization, and operational performance.
• Collaborate with Consumer Insights, Operations, and Marketing Insights teams to define KPIs and develop data-driven strategies.
• Translate complex business questions into analytical solutions, dashboards, and clear, actionable insights.
• Own and implement enterprise analytics tools including Power BI, Tableau, SQL, and Python or R.
• Utilize digital tools (e.g., Google Analytics) to track customer behavior and optimize digital channel performance.
• Establish consistent, enterprise-level reporting standards and frameworks.
• Present findings clearly and persuasively to executives and cross-functional stakeholders.

YOUR SKILLS AND EXPERIENCE:

• Ample progressive experience in enterprise analytics with a strong record of improving business performance.
• Demonstrated success leading large-scale analytics initiatives that resulted in measurable business impact (e.g., revenue growth, cost savings).
• Technical fluency in Power BI, Tableau, SQL, Python or R.
• Expertise in web and digital analytics, particularly Google Analytics.
• Strong communicator with the ability to simplify complex data for executive audiences.
• Proven leadership experience with small, high-performing teams.
• Comfortable operating in a fast-paced, cross-functional environment with executive visibility

BENEFITS – Director of Analytics

As a Director of Analytics, you can expect to earn up to $200,000 (depending on experience), short and long-term bonuses, and highly competitive benefits

HOW TO APPLY?:

Please register your interest by sending your Resume to Greffen George via the Apply link on this page

KEYWORDS:

Analytics, Predictive, Prescriptive, Data, Enterprise, Fitness, Wellness, Python, SQL, R, Tableau, Dashboard, Dashboarding, Manage, Management, Lead, Leadership, Marketing, Consumer, Insights, Customer, Google Analytics, GA4

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Lead MLOps Engineer
$140,000-$160,000 + bonus + RSUs
Legal-tech
Remote

About the Organization

Join a global 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, ML, 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 model deployment-focused role-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You’ll lead experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.

What You’ll Bring

• 7+ years of software engineering experience in production environments
• 2+ years of experience working with ML systems (Python)
• Experience with ModelOps / MLOps workflows
• Background in:
• NLP: Named Entity Recognition / NER, information extraction, and information retrieval
• Numpy, Pandas, and scalable data handling
• Cloud environments (provider-agnostic)
• CI/CD pipelines, GitFlow, and Agile development
• Logging, alerting, testing, and autoscaling systems
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on ML products
• Experience delivering LLM-based solutions
• Engineering management experience, including mentoring or leading cross-functional teams
• 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 Cassie Wandell via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | Production | Machine Learning Operations | AI | Artificial Intelligence | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval

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Head of AI Engineering

$250,000 – $300,000 base + Bonus

Remote (US Only – East Coast Preferred)

The Company

We’re partnering with a global AI strategy and technology firm that’s spent the last decade delivering high-impact AI solutions to Fortune 500 clients. Their focus? Solving real business problems through cutting-edge, scalable AI-and now they’re ready to take things to the next level.

They’re looking for a Head of AI Engineering to build and lead the engineering function from the ground up. If you’ve been craving a seat at the table, the chance to shape a technical vision, and the freedom to stay hands-on while building a world-class team, this one’s for you.

The Role

This is a pivotal leadership role at a company known for delivering enterprise-ready AI. You’ll set the technical direction, build a cross-functional team, and ship high-performance systems for clients tackling complex challenges.

What You’ll Do

• Own and architect the full tech stack: back-end, front-end, infra, and AI
• Write and review clean, scalable code across core AI platforms
• Deploy LLM-based systems using prompt engineering, embeddings, and vector search
• Build and optimize DevOps pipelines and deployment environments (local, staging, production)
• Set engineering standards around CI/CD, testing, and documentation
• Hire and lead a top-tier team across AI, full-stack, and infrastructure
• Collaborate closely with product, design, and AI researchers to bring ideas to life
• Help shape the company’s technical roadmap and long-term product vision
• Create a high-trust, high-impact engineering culture rooted in innovation and agility

About You

• 2+ years in a senior technical or leadership role, ideally in a fast-paced or client-facing environment
• Strong backend or full-stack development skills, with deep experience in modern API architecture
• Expert-level Python skills and hands-on experience building with LLMs (OpenAI, Hugging Face, etc.)
• Bonus if you’ve worked with RAG, LangChain, or vector databases
• Solid grounding in DevOps: Docker, CI/CD, cloud platforms (AWS/GCP/Azure)
• Proven ability to lead and scale remote engineering teams
• A collaborative, entrepreneurial mindset-you know how to ship and scale

The Perks

• Highly competitive base salary ($250k-$300k) + bonus
• Remote-first with flexible hours (East Coast preferred for time zone alignment)
• Ownership and influence at a critical stage of growth
• Work on cutting-edge AI systems that solve real-world problems

Keywords: Head of Engineering, AI Strategy, LLM, LangChain, RAG, Backend, Python, DevOps, Cloud, ML Infrastructure, AI Consulting, Leadership, Remote, Start-up

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Manager, MLOps Engineering
$170,000-$190,000 + bonus + RSUs
Legal-tech
Hybrid – Ann Arbor, Michigan

About the Organization

Join a global 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, ML, 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 player/coach position, focusing on model deployment-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You’ll lead a team of MLOps engineers on experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.

What You’ll Bring

• 7+ years of software engineering experience in production environments
• 2+ years of team management experience working with ML systems (Python)
• Experience with ModelOps / MLOps workflows
• Background in:
• NLP: Named Entity Recognition / NER, information extraction, and information retrieval
• Numpy, Pandas, and scalable data handling
• Cloud environments (provider-agnostic)
• CI/CD pipelines, GitFlow, and Agile development
• Logging, alerting, testing, and autoscaling systems
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on ML products
• Experience delivering LLM-based solutions
• Engineering management experience, including mentoring or leading cross-functional teams
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience
• People management of teams greater than 5

HOW TO APPLY

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

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | Production | Machine Learning Operations | AI | Artificial Intelligence | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval

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