MARKETING MANAGER

UP TO £60,000

HYBRID – LONDON

THE COMPANY

This is a specialist healthcare marketing agency that works with some of the biggest pharmaceutical companies in the country.

THE ROLE

As a Marketing Manager, you can expect to be involved in the following:

• Act as a key point of contact for clients, leading their strategy on a daily basis
• Deliver tactical marketing and customer engagement projects
• Work with the Marketing Director to develop marketing strategies and campaigns
• Budget management
• Prepare and host workshops
• Create presentations for clients to demonstrate the results of projects and campaigns

YOUR SKILLS AND EXPERIENCE

• Must have experience with healthcare marketing
• Good creative and analytical skills
• Strong communicator
• Proficient in Microsoft Office with particular strength in Powerpoint
• Skilled in marketing and healthcare

BENEFITS

• Salary up to £60,000
• Hybrid working
• 33 days holiday including bank holidays
• Employee benefits scheme – includes option for private medical cover, group life assurance, healthcare cash plan

How to apply

Express your interest by sending your cv to Valentine via the apply link on this page

LEAD CREDIT RISK MODELLER

UP TO £75,000 + BONUS + SPONSORSHIP

LEEDS

Our client is currently hiring for multiple credit risk consultants. They have a need for regulatory modellers with experience in IRB or IFRS9 models. They are widely known as a business with excellent culture and low attrition. There are clear paths for development and no one in your way of achieving promotions.

THE COMPANY

This financial services business place employee and customer satisfaction at the forefront of their business model making it a great environment to be a part of. They offer a wide range of projects to get involved in and a level of expertise that will help make you a standout candidate on the market.

THE ROLE

You can expect to be involved in the following day to day:

• Development of risk and pricing models
• Work mainly on IRB and IFRS9 models spanning PD, LGD and EAD models
• Support business in project delivery
• Work closely with senior leaders in the business
• Work on a wide range of products – not limited to just cards or loans

SKILLS AND EXPERIENCE

• Experience working in a retail credit risk environment
• Strong experience in SAS/Python
• Experience developing IRB or IFRS9 models
• Exposure to senior stakeholders
• A strong university degree in a numerate discipline

SALARY AND BENEFITS

• Salary £40,000-£75,000 dependant on experience
• Discretionary Bonus
• Pension
• Private Medical

HOW TO APPLY

Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.

LEAD CREDIT RISK MODELLER

UP TO £75,000 + BONUS + SPONSORSHIP

LONDON

Our client is currently hiring for multiple credit risk consultants. They have a need for regulatory modellers with experience in IRB or IFRS9 models. They are widely known as a business with excellent culture and low attrition. There are clear paths for development and no one in your way of achieving promotions.

THE COMPANY

This financial services business place employee and customer satisfaction at the forefront of their business model making it a great environment to be a part of. They offer a wide range of projects to get involved in and a level of expertise that will help make you a standout candidate on the market.

THE ROLE

You can expect to be involved in the following day to day:

• Development of risk and pricing models
• Work mainly on IRB and IFRS9 models spanning PD, LGD and EAD models
• Support business in project delivery
• Work closely with senior leaders in the business
• Work on a wide range of products – not limited to just cards or loans

SKILLS AND EXPERIENCE

• Experience working in a retail credit risk environment
• Strong experience in SAS/Python
• Experience developing IRB or IFRS9 models
• Exposure to senior stakeholders
• A strong university degree in a numerate discipline

SALARY AND BENEFITS

• Salary £40,000-£75,000 dependant on experience
• Discretionary Bonus
• Pension
• Private Medical

HOW TO APPLY

Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.

HEAD OF DATA SCIENCE
LONDON
£80,000 – £100,000

Company Overview:
We are working with a leading marketing consultancy. They are looking for a highly skilled and visionary Head of Data Science to lead their growing data science team and drive innovation in marketing analytics. If you are a strategic thinker with a passion for data and marketing, we want you to join us in shaping the future of marketing consultancy.

RESPONSIBILITIES:

• Lead and manage a team of data scientists, analysts, and data engineers.
• Develop and execute data science strategies that align with clients’ marketing goals.
• Collaborate with clients to understand their business objectives and provide data-driven solutions.
• Drive the development of predictive models, machine learning algorithms, and statistical analyses.
• Actively participate in data analysis, model development, and data visualization.
• Implement data-driven marketing measurement frameworks and attribution models.
• Stay current with industry trends and emerging technologies in data science and marketing analytics.
• Ensure data privacy and security standards are maintained throughout all projects.

REQUIREMENTS:

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
• Proven experience leading data science teams and projects.
• Strong background in machine learning, statistical modeling, and data analysis.
• Proficiency in programming languages such as Python or R.
• Knowledge of marketing analytics, customer segmentation, and campaign optimization.
• Exceptional communication and presentation skills.
• Strategic thinker with the ability to translate complex data insights into actionable recommendations.
• Experience with marketing technology platforms and tools is a plus.

NEXT STEPS:
If this looks interesting, please reach out to Joseph Gregory

PROCESS:
Intro chat
Technical interview

GEOSPATIAL ENGINEER
HYBRID (LONDON)
£50,000 – £65,000

COMPANY:
We are working with a company aimed at harnessing the power of geospatial data to grow its intelligence platform to aid in natural catastrophe prediction. They work with satellite imagery to assess damages and predict areas that are likely to be impacted.

RESPONSIBILITIES:

• Design, develop, and maintain geospatial software and applications.
• Collaborate with cross-functional teams to gather requirements and define project scope.
• Analyse and process geospatial data from various sources.
• Implement and optimize geospatial algorithms and models.
• Creating end-to-end solutions.

REQUIREMENTS:

• Bachelor’s or Master’s degree in Geospatial Engineering, Geography, Computer Science, or a related field.
• Proven experience in geospatial software development and analysis.
• Proficiency in GIS (Geographic Information Systems) software and tools.
• Strong programming skills in languages such as Python, Java, or C++.
• Knowledge of spatial databases and data management.
• Familiarity with geospatial data formats (e.g., Shapefiles, GeoJSON, KML).
• Excellent problem-solving and communication skills.

NEXT STEPS:
If this looks of interest, please reach out to Joseph Gregory

PROCESS:
HR Chat
Culture Interview
Technical interview

Speech Recognition and Synthesis Engineer

Fully Remote

Full Time

$180,000 – $200,000

Overall, this role combines expertise in machine learning, NLP, audio processing, and software development to create and deploy speech-related technologies that bridge the gap between spoken language and text, providing valuable applications in various domains.

THE COMPANY

We are currently partnered with a leading tech company that is at the forefront of audio systems. This company partners with financial systems and providers, consumers, and insurers.

THE ROLE

• Develop, implement, and maintain speech recognition models and systems that can accurately convert spoken language into text. This involves using machine learning techniques like deep learning, recurrent neural networks (RNNs), and convolutional neural networks (CNNs).
• Collaborate with data scientists and speech data annotators to collect and preprocess large datasets of audio recordings and corresponding transcriptions.
• Fine-tune and optimize speech recognition models for different languages, accents, and dialects.
• Integrate the speech recognition system into applications, products, or services for various industries, such as transcription services, voice assistants, and automation.
• Develop and maintain text-to-speech synthesis models that can convert text into natural-sounding human speech.
• Utilize neural TTS architectures like Tacotron and WaveNet to generate high-quality speech audio.
• Customize TTS voices and styles to match the specific requirements of clients or applications.
• Ensure the produced synthetic voices are expressive, clear, and natural-sounding.
• Deploy speech recognition and TTS models into real-world applications or systems, such as voice assistants, IVR (Interactive Voice Response) systems, and transcription services.
• Optimize models for latency, accuracy, and resource efficiency to meet performance requirements.
• Troubleshoot and resolve any issues related to model deployment and integration.
• Stay up-to-date with the latest advancements in speech recognition and synthesis technologies.
• Collaborate with cross-functional teams to improve the overall user experience and functionality of voice-related applications.
• Conduct performance evaluations, collect user feedback, and make iterative improvements to the models.

YOUR SKILLS AND EXPERIENCE

A successful Senior Engineer within this role will likely have the following skills and experience:

• Bachelor’s or Master’s degree in computer science, electrical engineering, or a related field.
• Strong programming skills in languages such as Python, TensorFlow, PyTorch, or Keras.
• Proficiency in machine learning, deep learning, and natural language processing (NLP) techniques.
• Experience with speech recognition and synthesis libraries and tools.
• Knowledge of audio signal processing techniques is a plus.
• Strong problem-solving skills and attention to detail.
• Effective communication and teamwork skills.

HOW TO APPLY

Please register your interest by sending your resume via the Apply link on this page

Analytics Engineer

Houston, TX

Hybrid

Full Time

$160,000 – 180,000

NO SPONSORSHIP

A well established company in the south is looking to bring on an Analytics Engineer with a strong background in Computer Vision, Image Recognition and Language Models

THE COMPANY

We are currently partnered with a company based in the south specialized in Oil & Gas distribution.

THE ROLE

• Work with executive stakeholders across the business to understand business problems
• Own AI/ML solutions and empower users on best practices
• Perform data visualization tasks to provide insight to the business
• Work with and develop automation tactics
• Work with cutting edge technology including optimizing artificial lift or extracting insights from text data

YOUR SKILLS AND EXPERIENCE

A successful Analytics Engineer within this role will likely have the following skills and experience:

• Bachelor’s or Master’s degree in computer science, electrical engineering, or a related field.
• Strong programming skills in languages such as Python, Pytorch, SQL, Git.
• Proficiency in machine learning, deep learning, and natural language processing (NLP) techniques.
• Experience with speech recognition and synthesis libraries and tools.
• Strong problem-solving skills and attention to detail.
• Effective communication and teamwork skills.

Job Title: VP / Senior Director of Engineering

Location: On-site position within driving distance from Palo Alto, open to candidates in the Boston area.

Salary: 220k-265k Base With Benefits.

Description:

The VP / Senior Director of Engineering will play a pivotal role in advising and directing the team to create, implement, and scale machine learning models for healthcare applications. This individual will serve as a senior leader with hands-on experience, ensuring that models are developed, integrated into healthcare workflows (including Electronic Health Records), and adopted by healthcare providers.

Qualifications:

• 10+ years of industry experience, 5+ years of leadership experience.
• Strong healthcare expertise, particularly in health systems.
• Experience working on products that have been successfully delivered to health systems.
• Proven track record of integrating products into Electronic Health Record (EHR) workflows and physician workflows.
• Direct experience developing products or models used by physicians.
• Understanding of the challenges and requirements for driving adoption within health systems.
• Familiarity with integrated delivery networks for payers
• Ability to develop products/models for both healthcare providers (specialists or nurse practitioners) and patients.
• Strong knowledge of EHR workflows and firsthand experience with model performance when used by physicians.
• Prior experience in health tech startups with successful product launches.
• In-depth knowledge of modern AI and data workflows, especially those related to clinical decision-making and disease progression prediction.
• Hands-on experience with AI and data workflows that have scaled effectively in the clinical decision-making space.

Job Title: VP / Senior Director of Engineering

Location: On-site position within driving distance from Palo Alto, open to candidates in the Boston area.

Salary: 220k-265k Base With Benefits.

Description:

The VP / Senior Director of Engineering will play a pivotal role in advising and directing the team to create, implement, and scale machine learning models for healthcare applications. This individual will serve as a senior leader with hands-on experience, ensuring that models are developed, integrated into healthcare workflows (including Electronic Health Records), and adopted by healthcare providers.

Qualifications:

• 10+ years of industry experience, 5+ years of leadership experience.
• Strong healthcare expertise, particularly in health systems.
• Experience working on products that have been successfully delivered to health systems.
• Proven track record of integrating products into Electronic Health Record (EHR) workflows and physician workflows.
• Direct experience developing products or models used by physicians.
• Understanding of the challenges and requirements for driving adoption within health systems.
• Familiarity with integrated delivery networks for payers
• Ability to develop products/models for both healthcare providers (specialists or nurse practitioners) and patients.
• Strong knowledge of EHR workflows and firsthand experience with model performance when used by physicians.
• Prior experience in health tech startups with successful product launches.
• In-depth knowledge of modern AI and data workflows, especially those related to clinical decision-making and disease progression prediction.
• Hands-on experience with AI and data workflows that have scaled effectively in the clinical decision-making space.

Senior Data Analyst

REMOTE ROLE

130,000-140,000 Base Salary

Company Overview

My client is an award-winning, full-service marketing agency that has led the way in innovative brand experiences for over 20 years. With a roster of prominent clients in diverse industries, they have developed a reputation for creating immersive, data-driven campaigns that deliver measurable results. Their face-to-face marketing and sales solutions provide valuable consumer insights and drive growth for leading brands.

With expertise across digital, social, experiential, and business consulting, this agency is a trusted strategic partner to clients. They combine creativity with an analytical, results-oriented approach. Their culture celebrates big ideas, smart strategy, and flawless execution. With offices nationwide and a global presence, they provide scalable solutions tailored to each client’s business objectives. Their passionate team of marketing experts and dedication to innovation set them apart.

Role Overview

– Take the lead on financial/operational analytics for high-profile marketing campaigns
– Work closely with the executive team, clients, and internal finance/analytics team
– Develop goals, control costs, identify trends, and drive profitability
– Create insightful reports and translate metrics into strategic recommendations
– Guide clients in analyzing campaign performance and optimizing success
– Revolutionize financial processes and systems through workflow improvements

Requirements

– Sharp business acumen and analytical brilliance
– Experience streamlining workflows, automating procedures, and optimizing systems
– Strong data analysis and reporting skills
– Ability to translate complex data into clear, impactful insights
– Excellent communication skills to liaise with clients and leadership
– Sharp focus on profitability, revenue growth, and operational excellence
– Passion for collaborating in a fast-paced, dynamic environment
– Drive to implement best practices and push boundaries
– Bachelor’s degree in business, finance, or a related field
– 5+ years of relevant work experience

Senior Analyst – Sales Operations

REMOTE ROLE

130,000-140,000 Base Salary

My client is an award-winning, full-service marketing agency that has led the way in innovative brand experiences for over 20 years. With a roster of prominent clients in diverse industries, they have developed a reputation for creating immersive, data-driven campaigns that deliver measurable results. Their face-to-face marketing and sales solutions provide valuable consumer insights and drive growth for leading brands.

With expertise across digital, social, experiential, and business consulting, this agency is a trusted strategic partner to clients. They combine creativity with an analytical, results-oriented approach. Their culture celebrates big ideas, smart strategy, and flawless execution. With offices nationwide and a global presence, they provide scalable solutions tailored to each client’s business objectives. Their passionate team of marketing experts and dedication to innovation set them apart.

Role Overview

– Take the lead on financial/operational analytics for high-profile marketing campaigns
– Work closely with the executive team, clients, and internal finance/analytics team
– Develop goals, control costs, identify trends, and drive profitability
– Create insightful reports and translate metrics into strategic recommendations
– Guide clients in analyzing campaign performance and optimizing success
– Revolutionize financial processes and systems through workflow improvements

Requirements

– Sharp business acumen and analytical brilliance
– Experience streamlining workflows, automating procedures, and optimizing systems
– Strong data analysis and reporting skills
– Ability to translate complex data into clear, impactful insights
– Excellent communication skills to liaise with clients and leadership
– Sharp focus on profitability, revenue growth, and operational excellence
– Passion for collaborating in a fast-paced, dynamic environment
– Drive to implement best practices and push boundaries
– Bachelor’s degree in business, finance, or a related field
– 5+ years of relevant work experience

Lead Machine Learning Scientist
Dental Imaging
Ann Arbor, Michigan
$160k – $200k

The Company:

This company has been at the forefront of providing innovative Artificial Intelligence (AI) solutions. With the mission of tackling pressing healthcare issues, streamline processes for payers and providers, and ultimately elevate the standard of patient care while optimizing costs.

Position:

The team is looking for a candidate with a strong background in Computer Vision, particularly in the context of medical images. Our ideal candidate should have experience in commercial product development, preferably having contributed to a product that was successfully deployed to end-to-end to customers.

Skills:

• Strong expertise in visualizing and effectively handling large datasets.
• Prior experience with X-ray image analysis, particularly in medical or dental contexts, is highly regarded.
• Familiarity with programming languages such as Java and Python is considered a valuable asset.
• Adeptness in utilizing deep learning libraries (e.g., PyTorch, TensorFlow, or Keras) and the capability to deploy models across multiple languages is a significant advantage.
• Comfortable and effective in both collaborative teamwork and independent research initiatives.

Benefits:

• A competitive salary, spanning the range of $160,000 to $200,000, tailored to match experience.
• Medical & Dental Plan coverage plans.
• 401k
• Relocation assistance.
• Free parking
• Free life insurance
• Avenues for professional enhancement and continual learning.

How to Apply

Please register your interest by sending your resume to Nicolas Gonzales via the apply link on this page.