To Apply for this Job Click Here

Manager, Software Engineering

Location: Hybrid (NYC)
Pay: $200k – $280k + Bonus + Equity

About the Role

Join a high-growth technology company building AI-powered enterprise software used by professionals to analyse, review, and validate large volumes of complex information. This leadership opportunity will oversee a highly experienced engineering team responsible for developing collaborative analysis tools that sit at the intersection of artificial intelligence and human decision-making. The role requires a strong people leader who can drive execution across multiple engineering groups while helping shape the future of an evolving AI platform.

Responsibilities

• Lead, mentor, and grow a team of senior software engineers, including hiring, performance management, and career development.
• Drive delivery of complex initiatives that require coordination across multiple engineering teams and stakeholders.
• Manage roadmap execution, ensuring projects are delivered against agreed timelines and business objectives.
• Negotiate scope, prioritise incremental releases, and leverage feature flags to deliver customer value quickly.
• Remove blockers and manage dependencies across platform, infrastructure, and product teams.
• Improve engineering resilience through documentation, knowledge sharing, design reviews, and reducing key-person dependencies.
• Participate in architecture discussions and advocate for platform capabilities required by the product roadmap.
• Partner closely with Product and Design leadership to define, prioritise, and deliver new capabilities.
• Communicate risks, delivery status, and trade-offs clearly to leadership and stakeholders.

Must-Have Qualifications

• 2+ years of direct people management experience leading software engineers.
• 8+ years of software engineering experience with strong backend development expertise.
• Hands-on experience with Python and large-scale distributed systems.
• Demonstrated success delivering complex, cross-functional initiatives involving multiple teams.
• Experience managing delivery against committed deadlines through scope management and phased releases.
• Experience leading geographically distributed engineering teams.
• Strong stakeholder management and communication skills.
• Bachelor’s degree in Computer Science, Engineering, or related field preferred.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Applied Scientist – LLM Suite | Investment Banking | Onsite in Palo Alto, CA

~$450-550k TC including base salary, bonus, and equity grant

Our client, a top-tier global investment bank, is expanding its enterprise AI platform and is looking for a Staff Applied Scientist to join their LLM Suite team. This is a production-focused role where the candidate will be building AI systems actively used by 200,000+ employees worldwide.

This person will own the development of text-to-code pipelines, agentic workflows, database interaction layers, and intelligent chatbots across one of the most complex financial institutions in the world.

Responsibilities

• Designing and deploying LLM-powered features including text-to-code, workflow automation, and AI agent frameworks
• Building and integrating multimodal LLM systems via API-based architectures
• Developing scalable, distributed, and multi-threaded applications using frameworks like Ray, Horovod, and DeepSpeed
• Owning full end-to-end software development cycles from prototyping through production deployment
• Architecting and managing containerized infrastructure using Kubernetes and AWS Fargate
• Building database interaction layers and backend services that support enterprise-scale AI products
• Collaborating cross-functionally with engineering, product, and business teams to translate complex requirements into working systems

Requirements

• PhD in Computer Science, Machine Learning, Applied Mathematics, or a related technical field (required)
• Deep hands-on experience with LLM integrations, both API-based and fine-tuning workflows
• Proven experience with multimodal LLMs and cutting-edge foundation models
• Strong background in distributed systems and scalable application design using Ray, Horovod, DeepSpeed, or equivalent
• Production experience with AWS, Kubernetes, and Fargate
• End-to-end software engineering experience, including design, development, testing, and deployment
• Experience building chatbots, agentic systems, or AI-assisted developer tooling is a strong plus

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Product Analyst

£50,000 – £70,000

Manchester (3 days a week on-site)

If you’re a commercially minded Senior Data Analyst who enjoys shaping product decisions through data, this is an opportunity to have a meaningful impact on a large-scale consumer platform. You’ll work at the intersection of product, analytics, experimentation, and user behaviour, helping to improve customer experiences used by millions of people.

THE COMPANY

They are a well-established digital business with a large consumer audience and a strong focus on data-driven decision making. Operating within a fast-paced product environment, they invest heavily in analytics, experimentation, and technology to continuously enhance their customer experience.

THE ROLE

As a Senior Product Analyst, you will partner with cross-functional product teams to drive better customer outcomes through insight, experimentation, and robust measurement practices.

Specifically, you can expect to be involved in the following:

• Defining and maintaining metrics frameworks for key product areas
• Establishing governance, measurement standards, and reliable performance monitoring
• Leading the design of data products and partnering with engineering teams on implementation
• Owning experimentation outputs and supporting hypothesis-driven product development
• Providing data-informed recommendations to senior stakeholders and influencing business decisions
• Evaluating product performance and identifying opportunities for optimisation and growth
• Planning and delivering analytical workstreams across multiple projects
• Mentoring analysts and championing best practice across the wider analytics community
• Contributing to analytics frameworks, training programmes, and knowledge-sharing initiatives

SKILLS AND EXPERIENCE

The successful Senior Product Analyst will have the following skills and experience:

• Strong commercial experience working within consumer-facing product environments
• Proven expertise in product analytics, customer journey analysis, and performance measurement
• Experience designing, running, and evaluating experimentation programmes
• Good understanding of statistical inference methodologies and testing frameworks
• Familiarity with predictive analytics techniques and data-driven decision making
• Strong SQL and Python skills
• Knowledge of analytics platforms such as Google Analytics or similar tools
• Understanding of data modelling, ETL processes, and data engineering fundamentals
• Ability to communicate complex analytical concepts clearly to technical and non-technical stakeholders
• Experience influencing senior decision-makers through insight and evidence
• No more than 6 to promote diverse talent pool
• Demonstrable capability in mentoring and supporting other analysts

BENEFITS

The successful Senior Product Analyst will receive the following benefits:

• Salary between £50,000 – £70,000 – depending on experience
• Annual share award equivalent to 10% of salary
• 28 days annual leave plus bank holidays

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior CRM Manager

£55,000 – £75,000

Livingston, Scotland or London (2 days a week on-site)

An exciting opportunity has arisen for a Senior CRM & Loyalty Manager to lead customer engagement, loyalty strategy, and lifecycle marketing for a well-established consumer brand. This is a high-impact leadership role where you will shape CRM strategy, drive customer retention, and influence the future direction of loyalty and personalisation initiatives. You will also have the opportunity to lead a small team while working closely with stakeholders across marketing, technology, analytics, and digital functions.

THE COMPANY

They are a highly recognised omnichannel consumer business with a strong customer focus and a significant investment in digital transformation. Operating across both physical and online channels, they are committed to delivering exceptional customer experiences through data-driven marketing and technology. Their CRM function plays a central role in customer growth, retention, and loyalty, making this a visible and commercially important position. As they continue to evolve their customer engagement capabilities, they are investing heavily in personalisation, automation, and CRM innovation.

THE ROLE

As a Senior CRM Analyst you will own and shape the CRM and loyalty strategy for a leading omnichannel consumer brand, driving customer engagement, retention, personalisation, and CRM transformation in a high-impact leadership role.

Specifically, you can expect to be involved in the following:

• Own and develop the loyalty programme strategy, driving customer engagement and retention
• Define and execute CRM and loyalty initiatives in partnership with senior leadership
• Lead customer lifecycle marketing programmes and automated customer journeys
• Deliver CRM activity across email, web, mobile, and in-store touchpoints
• Analyse campaign performance and customer behaviour to provide actionable recommendations
• Drive CRM transformation projects from requirements gathering through to implementation
• Collaborate with analytics, technology, ecommerce, and marketing teams to improve customer experiences
• Lead, mentor, and develop a small CRM team

SKILLS AND EXPERIENCE

The successful Senior CRM Manager will have the following skills and experience:

• Strong commercial experience in CRM, customer lifecycle marketing, and loyalty strategy
• Experience working within retail, ecommerce, consumer, or customer-focused environments
• Hands-on experience with CRM platforms and marketing automation technologies
• Strong knowledge of Salesforce Marketing Cloud or similar CRM technologies
• Proven experience owning or significantly contributing to loyalty programme development
• Excellent stakeholder management and cross-functional collaboration skills
• Strong analytical mindset with the ability to translate insight into business action

BENEFITS

The successful Senior CRM Manager will receive the following benefits:

• Salary between £55,000 – £75,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

£60,000 – £75,000

London or Leicester (1 day a week in office)

This is an opportunity to join a highly regarded data science function where innovation sits at the centre of decision making. Working within a specialist pricing team, you will have the freedom to explore new data sources, develop cutting-edge machine learning models, and shape how customer risk is assessed across a large-scale digital business. If you enjoy solving complex problems and building impactful models from messy, high-volume datasets, this role offers both technical challenge and visibility.

THE COMPANY

They are a market-leading digital organisation with a strong reputation for using data and analytics to drive business performance. Having invested heavily in their data science capabilities, they continue to expand a high-performing analytics community that values curiosity, experimentation, and collaboration.

THE ROLE

As a Senior Data Scientist you will join a specialist team focused on developing innovative approaches to customer risk assessment and pricing.

Specifically, you can expect to be involved in the following:

• Building and deploying predictive machine learning models that improve pricing and customer selection strategies
• Exploring and evaluating new data sources to identify commercial opportunities
• Developing geospatial and footprint models using alternative datasets
• Creating residual and claims-related models to improve business performance
• Working with large, complex, and often unstructured datasets
• Taking ownership of projects from problem definition through to delivery
• Mentoring and supporting junior team members

SKILLS AND EXPERIENCE

The successful Senior Data Scientist will have the following skills and experience:

• Strong commercial experience delivering machine learning and predictive modelling projects
• Advanced Python and SQL skills
• Experience working with large and complex datasets
• Knowledge of machine learning techniques such as XGBoost, CatBoost, or related models
• Experience working in cloud-based environments, ideally Azure
• Strong stakeholder management and communication skills
• Ability to translate business challenges into analytical solutions
• Experience within insurance is valuable but not essential

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £60,000 – £75,000 – depending on experience
• £5000 annual car allowance
• Performance bonus scheme with on-target bonus and enhanced earning potential
• 10% matched pension contribution
• 27 days annual leave plus bank holidays
• Private medical insurance
• And other benefits

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

£60,000 – £75,000

London or Leicester (1 day a week in office)

This is an opportunity to join a highly regarded data science function where innovation sits at the centre of decision making. Working within a specialist pricing team, you will have the freedom to explore new data sources, develop cutting-edge machine learning models, and shape how customer risk is assessed across a large-scale digital business. If you enjoy solving complex problems and building impactful models from messy, high-volume datasets, this role offers both technical challenge and visibility.

THE COMPANY

They are a market-leading digital organisation with a strong reputation for using data and analytics to drive business performance. Having invested heavily in their data science capabilities, they continue to expand a high-performing analytics community that values curiosity, experimentation, and collaboration.

THE ROLE

As a Senior Data Scientist you will join a specialist team focused on developing innovative approaches to customer risk assessment and pricing.

Specifically, you can expect to be involved in the following:

• Building and deploying predictive machine learning models that improve pricing and customer selection strategies
• Exploring and evaluating new data sources to identify commercial opportunities
• Developing geospatial and footprint models using alternative datasets
• Creating residual and claims-related models to improve business performance
• Working with large, complex, and often unstructured datasets
• Taking ownership of projects from problem definition through to delivery
• Mentoring and supporting junior team members

SKILLS AND EXPERIENCE

The successful Senior Data Scientist will have the following skills and experience:

• Strong commercial experience delivering machine learning and predictive modelling projects
• Advanced Python and SQL skills
• Experience working with large and complex datasets
• Knowledge of machine learning techniques such as XGBoost, CatBoost, or related models
• Experience working in cloud-based environments, ideally Azure
• Strong stakeholder management and communication skills
• Ability to translate business challenges into analytical solutions
• Experience within insurance is valuable but not essential

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £60,000 – £75,000 – depending on experience
• £5000 annual car allowance
• Performance bonus scheme with on-target bonus and enhanced earning potential
• 10% matched pension contribution
• 27 days annual leave plus bank holidays
• Private medical insurance
• And other benefits

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

I’m hiring a Senior Data Scientist to join a leading UK insurer’s Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance.

This is a role for someone who enjoys taking models from problem definition through to deployment, working with modern ML techniques and real-world commercial challenges.

What you’ll be doing

• Build and deploy predictive models across pricing, claims, fraud, and risk analytics.
• Engineer new data assets and rating factors to improve pricing performance.
• Identify and leverage new data sources to drive business value.
• Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams.
• Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes.

What they’re looking for

– Proven experience delivering ML projects from concept to deployment.
– Strong Python and SQL skills.
– Experience with Azure ML, Git, and cloud-based analytics environments.
– Strong stakeholder engagement and commercial problem-solving capability.
– Passion for applying emerging ML techniques to real business problems.

Why join?

• Work in a highly respected pricing and analytics function.
• Bonus scheme + £5k car allowance.
• Private medical cover and strong benefits package.
• Opportunity to work on innovative modelling and pricing challenges at scale.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Analyst

London (Hybrid, 3 days in office) | Up to £54,000 + £8,000 bonus + additional company performance bonus

Looking to combine analytics, strategy, and client-facing consulting in one role? This is an opportunity to join a highly regarded consulting business where data and analytics sit at the heart of strategic decision-making. You will work on a diverse range of projects, helping organisations answer complex commercial, public sector, and location-based questions through data.

The Company

They are a specialist consulting firm with an international presence and a strong reputation for delivering strategic insights across a range of sectors. Their work spans analytics, marketing strategy, private equity, mergers and acquisitions, and commercial advisory projects. The business combines consulting expertise with advanced analytical capabilities to help clients make evidence-based decisions. You will join a collaborative Analytics team that works closely with senior stakeholders across multiple engagements.

The Role

You will work as a Senior Associate within the Data & Analytics function, supporting a variety of client projects and delivering high-impact analytical solutions.

Responsibilities include:

• Using SQL and Python to analyse large and complex datasets
• Delivering location and demographic analysis to support strategic recommendations
• Building clear and insightful data visualisations for clients and internal stakeholders
• Translating analytical findings into actionable business recommendations
• Working across projects in both public and private sector environments
• Collaborating with consultants, analysts, and senior leaders to deliver client outcomes
• Presenting findings confidently to both technical and non-technical audiences

Your Skills & Experience

• Strong commercial experience using SQL for data analysis
• Experience working with Python for data manipulation, analytics, or modelling
• Knowledge of data visualisation tools such as Tableau, Power BI, or similar
• Strong communication and stakeholder management skills
• Ability to explain complex analytical concepts clearly and confidently
• Experience delivering insights that support business or strategic decision-making
• Strong academic background with a degree from a leading university preferred

What They Offer

• Exposure to a wide variety of consulting and analytics projects
• Structured career progression within a growing analytics function
• Opportunity to work alongside experienced consultants and analytics leaders

How to Apply

If you are a SQL and Python-focused analytics professional looking to develop your consulting experience and work on high-impact strategic projects, apply today to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

I’m hiring a Technical CRO Manager for one of the UK’s leading customer acquisition businesses.

This is a rare opportunity to build and own an internal CRO capability from the ground up, taking responsibility for experimentation across multiple high-traffic lead generation brands while helping shape the future of the CRO function.

Unlike many CRO roles, this isn’t purely strategy and analysis. They need someone who can combine experimentation expertise, commercial thinking, and hands-on front-end testing skills.

The company

A fast-growing international marketing and technology business operating across the UK, USA, Canada, Australia, and France.

They own and operate their own digital brands rather than acting as an agency, giving them complete control over customer acquisition, experimentation, and optimisation across the customer journey

With 40+ lead-generation journeys and significant investment into paid search and paid social, there is huge scope to drive measurable commercial impact through experimentation.

The opportunity

The business has invested in CRO through external contractors for the last couple of years and is now bringing the capability in-house.

You’ll take ownership of:

• The CRO roadmap
• Experimentation strategy
• Testing frameworks
• Front-end test implementation
• Future team growth

As the function matures, there is a genuine opportunity to build and lead a dedicated experimentation team.

What you’ll be doing

• Own the CRO and experimentation roadmap across multiple brands
• Design, build, and analyse A/B testing programmes
• Create a structured, high-velocity testing pipeline
• Build and validate experiments using:
  • HTML
  • CSS
  • JavaScript
• Manipulate the DOM and deploy front-end tests using Convert.com or comparable platforms
• Use behavioural analytics tools such as Mouseflow, Clarity and FullStory to identify optimisation opportunities
• Prioritise testing opportunities based on commercial impact, traffic volumes and lead quality
• Present recommendations and business cases to senior stakeholders
• Work closely with Marketing, Technical and Compliance teams to drive growth

What they’re looking for

Must-haves

• 5+ years dedicated CRO experience
• Experience running end-to-end experimentation programmes
• Strong A/B testing and experimentation methodology knowledge
• Strong statistical understanding and test analysis skills
• Commercial mindset focused on revenue and profitability
• Excellent understanding of UX and customer journey optimisation

Technical requirements

• 3+ years commercial experience using:
  • JavaScript
  • HTML
  • CSS
• Experience implementing front-end tests yourself
• Experience with Convert, Optimizely, VWO, AB Tasty or similar platforms
• Experience using session replay and behavioural analytics tools

Nice to have

• Lead generation experience
• Agency experience
• Previous mentoring or team leadership exposure
• Experience helping build CRO functions

Why this role?

• Build an internal CRO capability from scratch
• Own experimentation across 40+ customer journeys
• Significant leadership backing for CRO investment
• Genuine progression into team leadership
• High levels of autonomy and ownership
• Blend of strategy, experimentation, front-end development, and commercial impact
• International business with ambitious growth plans

Package

• Up to £60,000 salary
• Bonus scheme
• Hybrid working (2-3 days per week in Macclesfield)
• Private medical insurance
• Gym membership
• Life insurance
• Team socials and events
• Clear progression opportunities

Interview process

• Initial interview with Marketing leadership
• Practical experimentation framework task and presentation
• Final interview with senior stakeholders

If you’re a CRO professional who still enjoys getting hands-on with experimentation code, while also wanting the opportunity to build a function and influence strategy, this is an outstanding opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Product Manager (Databricks)

Liverpool Street, London (3 days per week)
£60,000 – £80,000 + benefits

I’m currently working with a client who are looking for a Data Product Manager to join their growing data function and help bridge the gap between technical teams and the wider commercial business.

The Role

• Own the end-to-end lifecycle of data products
• Work closely with Data Engineering, Analytics, and business stakeholders
• Drive real-time data and self-serve data initiatives
• Build business cases and shape commercially focused data solutions
• Focus areas include churn, profitability, and customer insight

The Requirements

• Previous experience as a Data Product Manager
• Strong stakeholder management and communication skills
• Experience working with modern cloud data platforms
• Databricks experience is essential
• Technically minded, with the ability to work closely with engineering teams
• Backgrounds in BI, Data Engineering, or Business Analysis are all relevant

What Will Make You Stand Out

• Strong commercial mindset and ability to influence senior stakeholders
• Experience delivering measurable business outcomes
• Telecoms or consultancy background
• Experience driving adoption of data products across businesses

My client is looking to move quickly on this opportunity.

If interested, please email me directly or message me on LinkedIn.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead / Principal Machine Learning Engineer – Remote

The Company

A well-established technology scale-up using machine learning to power personalised digital advertising and customer engagement. With international operations and continued growth, they offer a collaborative environment where ML engineers own products end-to-end and influence key business decisions.

The Role

• Define technical direction across machine learning and MLOps
• Build and optimise recommendation, bidding, attribution, and audience targeting models
• Lead model monitoring, automated retraining, experimentation, and production ML systems
• Improve scalability, reliability, and real-time model performance
• Partner with engineering and business leaders to align ML initiatives with commercial goals
• Mentor senior engineers and drive technical best practice

Your Skills & Experience

• Strong experience building and deploying machine learning systems at scale
• Expertise with Python and modern ML frameworks such as PyTorch or TensorFlow
• Experience with recommendation systems, LTV/churn modelling, attribution, or targeting models
• Strong understanding of MLOps, model lifecycle management, and production environments
• AdTech, programmatic advertising, DSP, or real-time bidding experience highly desirable

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Data Scientist (Product)

Location: Remote

Salary: $190-220k

We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role embedded in their product organization. This is for someone who combines deep statistical expertise with the ability to influence how an entire company makes decisions – not just someone who runs experiments, but someone who builds the culture and infrastructure around them.

What You’ll Be Doing

• Owning and advancing the company’s experimentation roadmap, focused on high-leverage product questions around customer workflows, churn risk, and long-term value
• Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to measure the real impact of product changes
• Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
• Building and governing a unified KPI framework that connects product health metrics to meaningful business outcomes
• Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
• Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
• Mentoring and training junior and mid-level data scientists on experimental design and causal modeling

What We’re Looking For

This is a senior individual contributor role reporting to the Director of Product Data, acting as a strategic thought partner across Product, Engineering, Finance, Design, and Product Marketing. The company is at an inflection point in how it uses data to make product decisions, and this person will be central to shaping that.

Essential:

• 6+ years in applied data science, economics, or product analytics
• Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
• Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
• Advanced SQL and Python or R for statistical modeling
• Experience with Snowflake or similar cloud data warehouses
• Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
• Demonstrated ability to drive change in organizations where experimentation culture is still developing

Nice to have:

• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science

To Apply for this Job Click Here