Data Scientist

EdTech

New York, New York

$125,000 – $135,000 + Benefits

THE COMPANY

Harnham is partnered with a leader in the education space in NYC. They are a mission-driven network with the goal of making education more democratic. They are looking for an experienced Data Scientist who will help improve education in the five boroughs.

RESPONSIBILITIES

· Collect, maintain, and analyze all data about the school portfolio’s recruitment, enrollment, and retention pipeline.

· Analyze family life cycle and lifetime value to make recommendations to commercial teams.

· Support the development of ongoing data and research initiatives.

· Build analytical models and reports on enrollment behaviors and education journeys.

· Make recommendations regarding family engagement opportunities

· Contribute to KPIs that most appropriately measure effectiveness against competitors.

· Collaborate with the Data & Analytics team to advance and implement organization-wide reporting and dashboards.

· Develop and conduct training for the broader analytics practice on the implementation of self-service analytics tasks and new measurement capabilities

SKILLS AND EXPERIENCE

· Master’s degree minimum, PhD preferred.

· Machine Learning, predictive modeling, and statistical analysis skills; NLP is a plus.

· Proven experience in data analysis in a customer relationship management, marketing, or consumer research environment.

· Adept knowledge of Python/R, SQL, and various ML libraries.

· History of designing and leading research projects that produce insightful and actionable analysis

· Strong presentation and data visualization skills to communicate data analysis in compelling ways to an executive audience

· Experience collaborating and communicating with non-technical audiences.

BENEFITS

$125,000 – $135,000 base salary + a standard benefits package

HOW TO APPLY

Please register your interest via the Apply link on this page.

KEYWORDS

EdTech, Education, Machine Learning, Data Science, Research, Technology, Marketing, Advertising, Stakeholder Management, Client Facing, Analytics, Predictive Modeling, ML, Python, R, SQL, Statistics, Nonprofit

Senior Research Data Scientist
Manchester
£50,000 – £70,000

This is an exciting new opportunity for a Research Scientist to join a Global Data Science Consultancy!

THE COMPANY

This global consultancy have a strong team of Research Data Scientists working a range of retail clients. This role sits within the pricing and promotions area – one of the companies biggest products so you’ll have a huge impact on their clients by researching into this space and allowing them to understand their products most effectively. Not everything you do will go into production so it’s a great role for a Research expert!

THE ROLE

As the Senior Research Data Scientist for the business you will:

• You will work collaboratively with a team of Data Scientists to deliver on client projects
• You’ll be researching on data, testing the data, researching on how best to improve current algorithms and new algorithms
• You’ll be focusing predominantly on price predictions algorithms, price optimisation algorithms and personalisation algorithms in a customer focused environment

SKILLS AND EXPERIENCE

• PhD in a numerical field is essential (Operational Research, Mathematics, Physics etc)
• An excellent understanding and proven commercial experience using machine learning techniques
• Willingness to focus on Research
• Tech: Python, SQL

SALARY AND BENEFITS

• Basic salary £50,000 – £70,000
• 5% Performance Related Bonus
• Benefits
• Flexible working

HOW TO APPLY

Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page

ML Ops Engineer

London, United Kingdom

Salary: Up to £70,000 + Benefits

Looking for an ML specialist, who is keen to work on some of the most cutting-edge projects within Ai. Join a company working in the Telecomms, using Machine Learning to support customer needs and optimize business decisions.

THE COMPANY

This is a company that’s aim is to build insight into business decisions across the globe, you will be joining a large Machine Learning team, working and taking ownership of large scale projects.

THE ROLE

This is ML Ops Engineer role will allow you to work on a variety of projects. You will be responsible for the design, initial development and evaluation of ML solutions:

• You will keep up to date with emerging research and trends
• You will contribute to the wider data science vision and product road map
• Actively join in, in code reviews and architectural discussions
• Work closely with the engineering teams
• You will have the chance to do your own independent research, also attending conferences
• Build models to drive business values
• Enhance products using ML
• Extract information using ML to understand what matters to employees

YOUR SKILLS AND EXPERIENCE

• Practical experience with mentoring junior members
• Experience with survey data
• Experience with AWS, Tensorflow and Python Data Science stack
• Also knowledge of Git, Kubernetes, Docker, Jenkins
• Experience building complex NLP models
• Good communication skills

SALARY AND BENEFITS

• Up to £70,000
• Flexible working
• Pension scheme
• + many more

HOW TO APPLY

• Please register your interest by sending your CV to Charlotte York via the apply link on this page

Machine Learning Data Scientist

Up to €90,000

Leiden

The Company

This company is transforming the pharmaceutical industry by using AI solutions to support the healthcare ecosystem. They are the leaders in AI analytics for life sciences and pride themselves in giving their employees creative freedom in order to do their work and take pride in what they are doing. This company uses a suite of products that have been built in partnership with top life science companies- all with a focus on empowering the people to take action.

The Role

The company is seeking a Data Scientist with a strong background in Machine Learning to develop solutions based on the companies ground-breaking technologies. You will play a crucial role in designing and building solutions using the leading AI engine for healthcare. You will be part of a close team who have extensive experience in implementing machine learning for real-world applications. This company prides itself on its ability for its employees to influence the design, architecture, and refinement of the data processing applications in healthcare.

Day to Day

• Define and build systems to model unstructured data sets to generate insights for clinical and medical problems that Machine Learning can solve
• Setting up and maintaining Data Science pipelines
• Contribute to defining and testing our products in the broadest sense possible, including testing for AI bias, transparency, and reliability
• Work closely with both our engineering and data science teams to drive product releases

Your Skills and Experience

The ideal fit for this role is someone who:

• Strong problem-solving skills with an emphasis on product development
• Strong proven experience – at least a few years – with Machine Learning algorithms
• Knowledge of a variety of machine learning techniques (such as supervised/unsupervised machine learning, time series, reinforcement learning, and adversarial learning) and their real-world applications
• Master’s or Ph.D. in Data Science, Statistics, Mathematics, Computer Science
• Proficiency with modern Python programming
• Familiarity with solving problems using Artificial Intelligence
• Proficiency in English

Benefits

• Hybrid
• Monthly WFH budget and one of set-up budget
• 25 days holiday
• Frequent informal team socials
• Excellent pension scheme
• Private healthcare
• Fully covered public transport (NL)

How to Apply

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

ML Ops Engineer

London, United Kingdom

Salary: Up to £85,000 + Benefits

Looking for an ML specialist, who is keen to work on some of the most cutting edge projects within Ai. Join a company working in the healthcare space, using Machine Learning to support customer needs and optimise business decisions.

THE COMPANY

This is a company that’s aim is to build insight into business decisions across the globe, you will be joining a large Machine Learning team, working and taking ownership of large scale projects. They are a specialising pharma health care unit.

THE ROLE

This is ML Ops Engineer role will allow you to work on a variety of projects. You will be responsible for the design, initial development and evaluation of ML solutions:

• You will keep up to date with emerging research and trends
• You will contribute to the wider data science vision and product road map
• Actively join in, in code reviews and architectural discussions
• Work closely with the engineering teams
• You will have the chance to do your own independent research, also attending conferences
• Build models to drive business values
• Enhance products using ML
• Extract information using ML to understand what matters to employees

YOUR SKILLS AND EXPERIENCE

• Practical experience with mentoring junior members
• Experience with survey data
• Experience with AWS, Tensorflow and Python Data Science stack
• Also knowledge of Git, Kubernetes, Docker, Jenkins
• Experience building complex NLP models
• Good communication skills

SALARY AND BENEFITS

• Up to £85,000
• Flexible working
• Pension scheme
• + many more

HOW TO APPLY

• Please register your interest by sending your CV to Charlotte York via the apply link on this page

Are you looking to work at an innovative startup that is revolutionizing the way people discover and engage with information online? Our platform uses cutting-edge machine-learning techniques to provide users with personalized recommendations and insights that help them stay informed and make better decisions. We’re looking for a Machine Learning Engineer to join our team and help us continue to develop and refine our platform.

What You Will Do:

• Design, build, and deploy machine learning models that power our platform and help us deliver high-quality recommendations and insights to our users.
• Collaborate with cross-functional teams of data scientists, engineers, and product managers to identify and address critical machine learning challenges.
• Conduct experiments and perform analysis to improve model accuracy and scalability, and to identify new opportunities for growth and innovation.
• Write production-ready code and contribute to our software engineering practices and standards.
• Communicate and present technical findings and insights to both technical and non-technical stakeholders.
• Stay up-to-date with the latest trends and developments in machine learning and related fields, and continuously apply new knowledge and techniques to our platform.

Qualifications:

• Strong machine learning fundamentals and skills in one or more of the following areas: experimental design, causal inference, machine learning, deep learning, reinforcement learning, and Python.
• Experience with data modeling and analysis, as well as the ability to write production-ready code.
• Ideally, a Ph.D. in a relevant field and a minimum of 2-3 years of experience in machine learning. Desirable qualities include NLP experience, experience with news, and experience in computational journalism.
• A passion for tackling complex, real-world problems and delivering innovative solutions that have a real impact on people’s lives.
• Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, dynamic startup environment.
• Full-time position with a competitive compensation package that includes a strong base salary, bonus, and equity based on your level of experience and expertise.
• Comprehensive benefits package, including health insurance, retirement savings, and paid time off.
• If you’re passionate about machine learning and want to work on exciting projects that have a real impact on people’s lives, we want to hear from you! To apply, please submit your resume and a brief cover letter outlining your qualifications and experience.

The Benefits:

160k-200k Base + Bonus and Equity

Please Apply by sending your CV to Adam Paget with 2-3 professional references

DATA SCIENTIST (Research)

Hybrid (1 day a week in Manchester office)

UP TO £70,000 + BONUS/BENEFITS

THE COMPANY

Would you like to work as a Data Scientist driving cutting-edge research into Machine Learning at a global tech company? See below:

THE ROLE

As a Data Scientist, you will be doing:

• Working on driving Machine Learning research
• Innovating Data Science techniques
• Work within the team and across cross-functional teams for a vast variety of projects
• Working with a Tech Stack of Python and SQL

SKILLS AND EXPERIENCE NEEDED

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

• PhD in Maths or Stats subject
• 2+ years of experience in research or industry
• Full proficiency in Python and SQL
• An interest in working in the tech industry

BENEFITS

As a Data Scientist, you will receive a salary of up to £70,000 as well as strong benefits (bonus, pension, among others!)

HOW TO APPLY

If you’re interested in this role, please send your CV to Kiran Ramasamy via the Apply link on this page.

Research Scientist

Manchester, United Kingdom

Salary up to £75,000 + Benefits

This role is sat within the core research team of a well-established organization.

THE COMPANY

This innovative company since its creation has been developing rapidly.You will be working in a collaborative environment,where you are delivering on world class solutions for clients using Machine Learning.

THE ROLE

This role sits within the research team and is looking for an experienced researcher, an overview of the role is as follows;

• Work building novel algorithms
• ExploreMachine Learninf research to benefit future models and products
• Design and evaluate models
• Apply ML to real-world solutions

YOUR SKILLS AND EXPERIENCE

• PhD in Machine Learning, Data Science, Maths, Statistics
• Experience leading and developing research projects
• Hands on experience using: Python, SQL etc

SALARY AND BENEFITS

• Earning potential up to £70,000
• Flexible working
• + A number of benefits

HOW TO APPLY

• Please register your interest by sending your CV to Charlotte York via the apply link on this page

Senior Data Scientist

Up to £90,000

London or Remote

The Company

This Senior Data Scientist role is looking for someone to solve pricing problems in a growing start-up. They have nearly doubled since they were first established and have won multiple awards along the way.

The Role

As a Senior Data Scientist, you can expect the following:

• Be accountable for the development of machine learning models
• Own end-user support for existing AI applications
• Work with pricing analysis
• Build pricing models for price comparison
• Meet and deliver work to stakeholders

Your Skills And Experience

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

• Great experience in service and network technologies and solutions e.g. AI, Big Data, Machine Learning, operational research, and data-science
• Experience in delivering solutions within an Agile environment
• Strong communication skills including written and oral to be able to interact with executives, managers, and subject matter experts
• PhD background
• Extensive pricing experience
• Hands-on experience within advanced analytics e.g. Linear Regression, conversion, logistic regression

The Benefits

The successful Senior Data Scientist will receive a salary of up to £00,000 and a bonus scheme.

Apply

Please register your interest by sending your CV to Charlotte York via the Apply link on this page