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Marketing Account Executive – FT

Up to £30,000 (Dependent on Experience)

Central London (Hybrid- 1 day a week in office)

Harnham are thrilled to be partnering with a leading Marketing Agency.

THE COMPANY

This position offers a chance to join a leading Marketing Agency. The company assists clients with both product and brand strategies. The agency is small but growing and is looking for someone to come in and assist with both the creative side as well as the digital branding side of things. Their clients are largely in the ecommerce space.

THE ROLE

As a Marketing Account Executive, you will be responsible for assisting in implementing digital brand strategies to support the growth of client’s online presence. The position will include:

• Consulting with clients for campaign strategies
• Consulting with clients on brand strategy
• Client account management

Background

Some of the following skills and experience would be ideal, however they are open, and candidates don’t need to tick every box:

• Strong knowledge of crm strategy and systems
• Previous experience with shopify and understanding of ecommerce flows
• Previous experience in account management across multiple clients
• Previous experience with MailChimp or Klaviyo

Benefits

• The successful candidate will receive up to £30,000 a year dependent on experience
• Hybrid working structure
• Pension scheme

HOW TO APPLY

Please register your interest by submitting your CV via the link on this page.

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THE COMPANY
My client is a rapidly growing private equity firm with a portfolio of billion-dollar companies. They are hiring their first Director of AI to spearhead machine learning initiatives and advise clients on strategic transformation. This is a hands-on leadership role, offering the opportunity to build AI-driven solutions while scaling a team over the next year.

THE ROLE
As Director of AI, you will:

• Partner with engineering teams to develop ML-based solutions for clients.
• Drive AI initiatives across investment risk, compliance, and internal automation.
• Build and deploy machine learning/LLM products within the first few months.
• Help clients track key metrics using NLP, LLMs, and machine learning models.
• Develop AI strategies that give clients a competitive edge in their industries.

YOUR SKILLS & EXPERIENCE
The ideal candidate will have:

• 7+ years of commercial experience in AI/ML.
• A degree in a quantitative or STEM field.
• Proven ability to communicate with and influence non-technical stakeholders.
• Experience leading end-to-end ML projects and mentoring team members.
• Strong background in NLP, including text summarization, classification, and entity extraction.
• Expertise in Python and NLP libraries (spaCy, NLTK, gensim, BERT, etc.).
• Exposure to data visualization tools.
• Experience with Azure (preferred but not required).
• Consulting experience is a plus.

THE BENEFITS

• Competitive base salary of $240,000-260,000
• Bonus and full benefits package
• Opportunity to shape AI strategy and build a high-impact team

HOW TO APPLY
Register your interest by sending your resume to Jack Wolf via the Apply link on this page.

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THE COMPANY

My client is a fast-growing private equity firm with a portfolio of billion-dollar companies. They are hiring a Lead Machine Learning Engineer to drive AI and machine learning initiatives, building advanced models that support both internal operations and client strategies. This role offers the opportunity to take ownership of key AI projects while mentoring junior team members.

THE ROLE

As a Lead ML Engineer, you will:

• Develop and deploy machine learning and NLP/LLM models for business transformation.
• Work closely with internal teams and clients to implement AI-driven solutions.
• Lead AI initiatives across investment risk, compliance, and automation.
• Guide and mentor junior engineers while collaborating with senior stakeholders.
• Help design AI strategies that enhance business performance and uncover new opportunities.

YOUR SKILLS & EXPERIENCE

The ideal candidate will have:

• 6+ years of experience in AI/ML development.
• A degree in a quantitative or STEM field.
• Strong ability to communicate technical concepts to non-technical stakeholders.
• Experience leading ML projects and mentoring junior team members.
• Expertise in NLP, including text summarization, classification, and entity extraction.
• Proficiency in Python and NLP libraries (spaCy, NLTK, gensim, BERT, etc.).
• Familiarity with cloud platforms (Azure preferred but not required).
• Exposure to data visualization tools.
• Consulting experience is a plus.

THE BENEFITS

• Competitive base salary of $200,000-230,000
• Bonus and full benefits package
• Opportunity to lead AI-driven initiatives in a high-growth firm

HOW TO APPLY

Register your interest by sending your resume to Jack Wolf via the Apply link on this page.

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THE COMPANY

My client is a frontier AI research organization on a mission to make LLM technology cheaper and more accessible. Fresh off a high-seven-figure seed funding round, they’re looking for a Head of Machine Learning to build their AI function from the ground up. This is an opportunity to drive the next wave of AI innovation at the frontier of reinforcement learning and large language models.

THE ROLE

As the founding Head of Machine Learning, you’ll work directly with the co-founders to lead applied ML research in reinforcement learning and LLM technology. You’ll build novel AI systems from scratch, designing feedback loops that translate research into real-world impact.

WHO YOU ARE

• Experienced tech lead in LLMs or reinforcement learning, with experience building AI systems from the ground up.

• PhD preferred but not required.

• Active contributor to open source AI projects.

• Thrives in a fast-paced, research-driven environment.

• Passionate about shaping the future of AI.

WHAT WE OFFER

• $245,000 – $260,000 USD/YR

• Significant equity potential (up to 1%)

• Full benefits package (401k, medical, dental, etc.)

HOW TO APPLY

Register your interest through the application link.

PLEASE NOTE: This role is not open to Corp-to-Corp (C2C) arrangements. Applications are accepted for direct hire or W-2 contractors only.

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Senior Quantitative Research Executive – FT

Up to £40,000 (Dependent on Experience)

Central London (Hybrid- 3 days in Office)

Harnham are thrilled to be partnering with a leading Research Agency.

THE COMPANY

This position offers a chance to join a leading Research Agency. The company works with clients that are household names in Tech, Entertainment, and the FMCG space. This role will be joining a team of two and is a new role being brought in to help support with their growing client list. The role will work directly with a founding partner and the research director.

THE ROLE

As a Senior Research Executive, you will be responsible for supporting projects through the entire project life cycle. The position will include:

• Designing surveys and questionnaires
• Pitching projects to clients and creating proposals
• Supporting projects centred around audience understanding, segmentation, and comms testing
• Analysing results, producing insights, and presenting insights and recommendations
• Supporting projects from start to finish

Background

Some of the following skills and experience would be ideal, however they are open, and candidates don’t need to tick every box:

• 1+ years of quantitative experience in a market research agency
• Proven experience with survey programming
• Ability to learn and adapt quickly
• Previous experience supporting projects across the full project life cycle

Benefits

• The successful candidate will receive up to £40,000 a year dependent on experience
• Hybrid working structure
• 25 days Holiday
• Pension scheme
• Healthcare plan

HOW TO APPLY

Please register your interest by submitting your CV via the link on this page.

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Research Manager – FT

Up to £50,000 (Dependent on Experience)

Central London (Hybrid- 3 days in Office)

Harnham are thrilled to be partnering with a leading Research Agency.

THE COMPANY

This position offers a chance to join a leading Research Agency. The company is a global research agency who works with social and government clients, as well as consumer clients. This role will be sat within the consumer segment of the agency and will work with clients in the FMCG, Retail, Media, and Tech space. The role will join a quantitative team that currently has 25 members.

THE ROLE

As a Research Manager, you will be responsible for working and overseeing projects that are both ad hoc and tracking based. The position will include:

• Overseeing and managing projects end to end
• Managing client relationships
• Provide consultations to clients on how to get the most out of the projects
• Ensuring quality is delivered on projects
• Brand Tracking, segmentation, and integrated studies

Background

Some of the following skills and experience would be ideal, however they are open, and candidates don’t need to tick every box:

• Proven experience in quantitative research
• Strong quantitative analysis skills
• Previous experience in the FMCG or Media sector
• Previous experience working with brand tracking, campaign evaluation, and survey design

Benefits

• The successful candidate will receive up to £50,000 a year dependent on experience
• Hybrid working structure
• Quick career progression
• Pension scheme

HOW TO APPLY

Please register your interest by submitting your CV via the link on this page.

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LEAD DATA ENGINEER

£70,000-£80,000 + BENEFITS

ACCRINGTON (Hybrid)

An opportunity to join a scale up company to help oversee the design, development, and maintenance of their data infrastructure.

THE COMPANY:

This leading retailer is currently investing and growing within their financial services division, and are currently looking for an innovative and fast paced Lead Data Engineer to work on a modern tech stack (DBT and Snowflake) and help enable the team to make data driven insights by ensuring efficient, reliable, and secure data collection, storage, and processing.

THE ROLE:

A remote working Lead Data Engineer will need to:

• Design and build data models
• Manage and mentor engineers
• Ingest data into Snowflake
• Transform data using DBT
• Empower teams to make data driven teams

YOUR SKILLS AND EXPERIENCE:

A successful Lead Data Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholders
• Experience in designing, developing, maintaining data pipelines (DBT and Snowflake)
• Leadership and mentoring experience

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £80,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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PRICING DATA SCIENTIST

LONDON- HYBRID

UP TO £65,000

Join a fast-growing motor insurtech company, revolutionizing the insurance industry through data-driven insights, innovative pricing models, and cutting-edge technology. They are looking for a talented Pricing Data Scientist to join the dynamic team and drive innovation in motor insurance pricing.

THE ROLE

• Develop and refine pricing models using statistical and machine learning techniques to improve underwriting accuracy and risk assessment.
• Analyse large data sets to identify trends, customer behaviours, and risk factors that impact pricing strategies.
• Implement data-driven decision-making processes to enhance competitive pricing while maintaining portfolio profitability.
• Collaborate with actuarial, underwriting, product, and technology teams to develop and deploy innovative pricing strategies.
• Continuously monitor and evaluate model performance, making data-backed improvements as needed.

REQUIREMENTS

• Strong experience in data science, pricing analytics within insurance or fintech industries.
• Expertise in statistical modelling, machine learning, and data analysis techniques.
• Proficiency in programming languages such as Python, R, or SQL.

HOW TO APPLY

Please send CV below or

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SENIOR DATA SCIENTIST

£80,000

LONDON

A leading FinTech, recognised as one of the UK’s fastest-growing and most profitable, is seeking a Senior Data Scientist to join their dynamic team. This is a fantastic opportunity to work in an award-winning, data-driven company that is rapidly expanding. With a strong focus on machine learning-driven credit risk models, this role offers hands-on exposure to cutting-edge techniques in an innovative, fast-paced environment.

THE COMPANY

This company has been a pioneer in the Fintech space, with a strong market presence. Their unsecured portfolio has seen massive growth, surpassing 1 million customers this year. The business is highly regarded for its lean, high-performance teams, a culture of ownership, and an exceptional work environment.

THE ROLE

You will work on high-impact projects, collaborating closely with leadership. Your responsibilities will include, but are not limited to:

• Developing credit risk predictive models, including scorecards and pricing models.
• Enhancing existing model suites
• Deploying and monitoring models, ensuring end-to-end implementation
• Conducting deep-dive analysis into lending trends, driving business insights
• Working in a fast-moving FinTech environment, where independence and ownership are highly valued

SKILLS AND EXPERIENCE

• 2-4 years’ experience in Data Science, with a focus on scorecard modelling
• Strong Python & SQL skills, with solid ML modelling experience
• Background in credit/lending – understanding how decisioning models impact the business
• Experience in FinTech preferred (not banking)
• STEM degree from a Russell Group university – strong academic background required
• Ability to work independently and own projects from start to finish

BENEFITS

• Equity
• Private Health Insurance
• Hybrid Working

HOW TO APPLY

If you’re looking to take the next step in your career with a forward-thinking organisation, please submit your CV to Dominic Castro via the Apply link on this page

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SENIOR CREDIT STRATEGY ANALYST

LONDON

UP TO £70,000

Join a dynamic and rapidly expanding FinTech known for its innovative approach to finance. This company offers a unique opportunity for a driven analyst to lead commercial strategy across lending, pricing, and advanced analytics. If you’re looking for a chance to shape impactful strategies in a successful and fast-growing business, this could be the ideal role.

THE ROLE

As a Senior Credit Risk Strategy Analyst, you will focus on developing and refining customer strategies, including:

• Leading the development of diverse lending strategies
• Leveraging analytics and data insights to optimize and scale strategies for new customers
• Incorporating new data sources to enhance decision-making and grow the lending portfolio
• Conducting broader customer analytics and analyzing behavioral trends

REQUIREMENTS

• Experience working in fast-paced environments, with the ability to manage multiple projects
• Background in commercial or risk strategy, preferably within consumer lending
• Proficiency in SQL, with Python experience being highly advantageous
• Previous experience in a FinTech environment

HOW TO APPLY

Please apply to the link below or send CV

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SENIOR FRAUD ANALYTICS CONSULTANT

UP TO £65,000

LONDON- TWICE A WEEK

A big4 consutlancy are currently seeking a highly skilled and experienced Senior Fraud Analytics Consultant to join their dynamic team and contribute to our mission of delivering cutting-edge solutions to complex business challenges.

THE ROLE

• Lead the design and implementation of fraud detection and prevention strategies for clients across various industries.
• Utilize advanced analytics techniques, including machine learning, predictive modeling, and data mining, to identify and assess fraud risks.
• Conduct comprehensive data analysis to uncover patterns, trends, and anomalies indicative of fraudulent activities.
• Develop and deploy fraud detection models, algorithms, and dashboards to monitor and mitigate fraud risks.
• Collaborate with clients to understand their business needs, design tailored fraud analytics solutions, and provide expert recommendations.
• Present findings, insights, and recommendations to clients and senior stakeholders in a clear and concise manner.
• Stay current with industry trends, emerging technologies, and regulatory changes related to fraud analytics.

REQUIREMENTS

• Proven experience in fraud analytics, data analysis, or a related field, preferably within a consulting or professional services environment.
• Strong proficiency in analytical tools and programming languages such as SQL, R, Python, and data visualization tools like Tableau or Power BI.
• Deep understanding of fraud detection techniques, risk assessment methodologies, and regulatory requirements.

HOW TO APPLY

Please send CV

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