data science lead

Houseful

<div>Alto Software Group is a B2B SaaS company that powers more than half of all UK housing transactions each year. We create software solutions that connect businesses and consumers, delivering a one-stop shop for estate agents and home builders. Our goal is to drive efficiency, speed up transactions, reduce risk, and improve the end-customer experience. While we&rsquo;re not a start-up, we have a start-up mindset and want our people to operate with this mindset so that we can achieve our ambitions.
The Role
We are looking for a Data Science Lead to build and lead Alto&rsquo;s data science capability from the ground up. We have rich data flowing through our Mission Control platform and a clear commercial ambition to turn it into predictive insight &mdash; this hire gives us the leadership and technical depth to make that happen. You&rsquo;ll work at the intersection of data, product, and commercial strategy, with direct access to executive leadership and a platform that&rsquo;s ready to be exploited.
What You&rsquo;ll Do<ul><li>Define and own Alto&rsquo;s data science roadmap, prioritising use cases based on measurable ROI and commercial impact.</li><li>Build, deploy and maintain production-grade predictive models across churn, customer health, propensity and capacity forecasting.</li><li>Design and analyse experiments to test pricing, product and operational changes, raising the standard of statistical rigour across the business.</li><li>Partner with Platform and Data Engineering to productionise models on Mission Control, defining data quality and feature requirements for reliable modelling.</li><li>Develop segmentation and scoring frameworks that Customer Operations and Commercial teams can act on directly.</li><li>Work with the Head of AI Operations to identify automation opportunities grounded in data science outputs.</li><li>Surface insights through ThoughtSpot and AI-enabled reporting for senior stakeholders, up to executive level.</li><li>Mentor analysts and grow data science capability across the business, building a team rather than a one-person silo.</li></ul>
Who You Are<ul><li>A Builder: You don&rsquo;t just advise on data science &mdash; you write production code, ship models, and take personal accountability for outputs that are actually used.</li><li>Commercially Sharp: You understand SaaS metrics (MRR, churn, NRR, GRR) and have personally connected data science work to measurable business outcomes, not just model performance.</li><li>A Technical Authority: You bring expert-level Python and SQL, a solid grounding in statistics and causal inference, and a track record of models in production &mdash; not just notebooks.</li><li>Cross-Functionally Effective: You move comfortably between engineering, commercial, and operational stakeholders, translating between data science and business outcomes without losing either audience.</li><li>Outcome-Focused: You prioritise ruthlessly, track ROI on your work, and resist the pull of interesting-but-unactionable projects.</li><li>Comfortable in Ambiguity: You can define the problem as well as solve it &mdash; you don&rsquo;t need a fully formed brief to make progress, and you bring structure where there isn&rsquo;t any.</li></ul>
Our Technology Stack
Languages<ul><li>Python, SQL</li></ul>
BI &amp; Reporting<ul><li>ThoughtSpot</li></ul>
Platform<ul><li>Mission Control (Alto&rsquo;s internal data platform)</li></ul>
AI / ML<ul><li>Modern ML frameworks; experimentation and causal inference tooling; LLMs and practical AI applications</li></ul>
Why Join Alto?
This is a rare opportunity to build a data science function with a blank sheet, executive sponsorship, and a data platform already in production. You&rsquo;ll have the mandate and the access to make data science a structural part of how Alto operates &mdash; from retention and pricing to operational efficiency and intelligent automation. For a technically strong data scientist who wants to lead, not just contribute, this is that role. 
Benefits<ul><li> 
Hybrid &mdash; 2 days/week in London HQ</li><li>Everyday Flex &mdash; greater flexibility over where and when you work</li><li>25 days annual leave &mdash; plus extra days for years of service</li><li>Day off for volunteering &amp; Digital detox day</li><li>Festive Closure &mdash; business closed between Christmas and New Year</li><li>Cycle to work and electric car schemes</li><li>Free Calm App membership</li><li>Enhanced Parental leave</li><li>Fertility Treatment Financial Support</li><li>Group Income Protection &amp; private medical</li><li>Gym on-site in London</li><li>7.5% pension contribution by company</li><li>Discretionary annual bonus up to 10% &mdash; of base salary</li><li>Talent referral bonus up to &pound;5K</li></ul></div>

Data Science Lead

ICON plc

<div>Clinical Data Science Lead 
ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. 
As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers. 
As a Clinical Data Science Lead at ICON, you will drive data science initiatives within clinical trials, ensuring that our analyses provide meaningful insights that inform strategic decisions. This is an office/ flex position, and you will need to go into the office at least 2 days a week in Rahway, NJ.
What You Will Do:
You will manage day-to-day clinical data science activities, supporting your team to deliver quality outcomes. 
 
Key responsibilities include:<ul><li>
Leading the design and implementation of data science strategies to enhance clinical trial data analysis.</li><li>
Collaborating with cross-functional teams to identify key data requirements and analytical needs.</li><li>
Overseeing the development of statistical models and analytical tools to optimize data interpretation.</li><li>
Mentoring and guiding team members in best practices for data analysis and visualization.</li><li>
Communicating findings and insights to stakeholders through presentations and reports, influencing project direction.</li></ul>
Your Profile:
You will have solid clinical data science experience, with the ability to manage competing priorities and develop your team. 
 
Required qualifications and experience:<ul><li>
Bachelor's degree in life sciences, computer science, or a related discipline</li><li>
Extensive experience in data analysis and project leadership within a clinical research setting.</li><li>
Strong expertise in statistical software and data visualization techniques.</li><li>
Exceptional analytical and problem-solving skills, with a focus on translating data into actionable insights.</li><li>
Excellent communication and leadership skills, with the ability to foster collaboration across diverse teams.</li><li>
Willingness to travel as required (approximately 15%)</li></ul> 
Employment with ICON is contingent upon having the legal right to work in the country where the role is based. 
Rewards &amp; Benefits
ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development. 
Benefits may include:<ul><li>
Competitive base salary and performance related incentives</li><li>
Health and wellbeing programmes including medical, dental, and vision coverage where applicable</li><li>
Retirement and pension plans</li><li>
Life assurance and disability coverage</li><li>
Employee assistance programmes and wellbeing resources</li><li>
Learning and development opportunities through structured training and career pathways</li></ul> 
Benefits may vary depending on role and location. 
Visit our careers site to read more about the benefits ICON offers. 
Inclusion and Accessibility
ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported. 
If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.</div>

Clinical Data Science Lead

UNITE Students

<div>The Role
This is a 12-month fixed-term opportunity to lead the Data Science team within the Data &amp; Insight function. The role focuses on delivering high-impact advanced analytics, supporting business decision-making, and managing a team of analysts to implement data science initiatives.
Reporting to the Senior Analytics Manager, this hands-on role combines technical expertise with team leadership to deliver actionable insights aligned with key business priorities.
What You`ll Be Doing
<ul><li>Apply an analytical, evidence-based approach to solving key business problems and identifying opportunities to improve business performance.</li>
<li>Lead, coach and develop a team of Data Scientists and Analysts, fostering a high-performing, collaborative culture and driving excellence in delivery.</li>
<li>Design, develop and implement advanced analytics, machine learning models and AI-powered solutions to enhance customer understanding, optimise revenue, automate processes and support strategic decision-making.</li>
<li>Identify and prioritise new opportunities for data science across strategic initiatives and business-as-usual activities.</li>
<li>Ensure AI and data science solutions are practical, scalable and deliver measurable business value.</li>
<li>Stay at the forefront of emerging trends in data science and AI, championing innovation and embedding best practice across the business.</li>
<li>Build strong relationships with senior stakeholders and subject matter experts, translating business challenges into data-driven solutions.</li>
<li>Partner with Data Engineering and Business Intelligence teams to productionise models and embed analytics into operational processes.</li>
<li>Provide leadership and expertise across forecasting, machine learning, AI, clustering, benchmarking and advanced analytics, while mentoring analysts across the wider business.</li>
</ul>
What We`re Looking For
<ul><li>Strong experience using data science, advanced analytics and statistical techniques to solve business problems and deliver measurable business value.</li>
<li>Expertise in modern data and analytics tools such as Databricks, Python, R, SQL, Tableau and Power BI.</li>
<li>Experience leading, coaching and developing analysts, building high-performing teams and fostering a culture of continuous learning.</li>
<li>Excellent analytical and problem-solving skills, with the ability to identify trends, patterns and actionable insights from complex data.</li>
<li>The ability to translate business challenges into analytical approaches by identifying relevant data, conducting robust analysis and presenting clear, evidence-based recommendations.</li>
<li>Experience working with and integrating data from multiple sources, including data warehouses, data lakes and cloud-based platforms.</li>
<li>Excellent written and verbal communication skills, with the confidence to present technical concepts and insights to non-technical audiences, including senior leaders and executive teams.</li>
<li>Strong organisational skills, with the ability to work autonomously, prioritise workloads and deliver high-quality outputs to agreed deadlines.</li>
<li>A passion for continuous learning, sharing knowledge with others and staying current with emerging trends in data science and AI.</li>
<li>Experience analysing sales, marketing, customer, higher education or property-related data, and a degree in a numerate discipline such as Mathematics, Statistics, Computer Science, Data Science, Economics or a related subject would be advantageous.</li>
</ul>
What You`ll Get in Return
<ul><li>A discretionary annual bonus so you can share in the company`s success</li>
<li>25 days` paid holiday and an annual holiday buying scheme, with 5 additional days awarded for long service</li>
<li>A generous pension scheme - employer contributions between 5% and 11% depending on how much you save</li>
<li>Various benefits to support your health and wellbeing including a Healthcare Cash Plan, an Employee Assistance Programme, a Wellbeing platform and a Gym benefit that you can share with your family and friends</li>
<li>Enhanced Family Leave including 18 weeks full pay for birthing parents and 4 weeks for non-birthing parents</li>
<li>Lots of other great benefits including an annual ShareSave scheme, Employee Life Assurance, a discounts portal and more!</li>
</ul>
About Unite Students
Founded in 1991, Unite Students is a FTSE 100 business and the UK`s leading provider of purpose-built student accommodation. You can find us in 25 leading university towns and cities, with 74,000 students calling US home! We are driven by our values, culture, and a commitment to develop diverse and inclusive teams, filled with positive energy and new ideas.
Instinctive inclusion. We know that to create and maintain a happy healthy organisation, we have to work hard to ensure inclusion isn`t just what we do but who we are.
People make Unite Students. Employees, students and neighbours all contribute to building environments where we can all thrive.
Room for Everyone
We`re proud to be an employer that embraces individuality, and we`re passionate about building inclusive teams. We focus on creating a collaborative culture where you can be you, where your voice is heard, and where you can truly belong. We take great pride in being rated Gold Investors in People and are constantly striving to provide the highest standard of learning and development opportunities and professional pathways for our people. Building a home for success, for both our employees and students, requires exceptional people with a passion for creating room for everyone, doing what`s right, keeping US safe, and raising the bar. Join us as we build better experiences for students that live with us.
We are US.</div>

Data Science Lead - 12 month FTC

Talan

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements and to lead a growing team of data scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine both.
You will own delivery from problem framing through to deployment, ensuring the work is technically sound, commercially valuable, and aligned to the architectural vision. As a lead, you will mentor the team, raise engineering and modelling standards, and act as a trusted technical partner in client conversations. You will help clients see not just what is possible, but what is practical and worth doing.
This is a delivery-focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot.
Required skills &amp; experience:<ul><li>
Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes.</li><li>
Combine classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands.</li><li>
Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability.</li><li>
Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders.</li><li>
Ensure best practice across the AI lifecycle &mdash; experimentation, evaluation, testing, deployment, and monitoring.</li><li>
Act as the bridge between architecture and delivery, ensuring implementation stays faithful to design.</li><li>
Support pre-sales and client discussions with credible technical input and realistic estimation.</li><li>
Champion reproducibility, model governance, and responsible practice in everyday delivery.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in data science or AI delivery, including hands-on leadership of technical teams or workstreams.</li><li>
Strong foundations in machine learning and statistics, with demonstrable production experience.</li><li>
Practical experience with LLMs and generative AI &mdash; prompting, RAG, fine-tuning, and evaluation.</li><li>
Exposure to AI agents and orchestration frameworks, and an appetite to deepen it.</li><li>
Proficiency in Python and the modern data / ML stack; sound data engineering instincts.</li><li>
Excellent communication and stakeholder skills, ideally in client-facing or consulting settings.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks / Fabric).</li><li>
Experience supporting business development or pre-sales.</li><li>
Domain depth in a regulated or data-rich industry.</li><li>
Contributions to open source, publications, or a visible professional profile.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul>
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
You will lead substantive, end-to-end AI work in a practice that is scaling fast and backing its people to grow with it. You will shape how a team works, influence how clients adopt AI, and keep your own skills at the frontier, bridging proven data science with the most current GenAI and agentic techniques. It is an opportunity to lead, deliver, and keep building.</div>

Lead Data Scientist (Classical ML, LLMs & AI Agents)

Latent Engineering Firm LTD

<div>About Us

Latent AI is a leading AI solutions implementation partner with an established and diverse international client base, dedicated to solving complex challenges through cutting-edge technology. Our strength lies in our global workforce &ndash; comprising small, agile, and expert teams distributed around the world who deliver bespoke AI and machine learning solutions. We foster a culture of collaboration, innovation, and deep technical excellence that connects our talent and clients across borders.

Company Website: 
https://www.reachlatent.com/ 
The Role

We are seeking an experienced and proactive Senior Data Scientist to join our team. This role focuses on transforming complex datasets into actionable insights and building robust machine learning solutions, with a strong emphasis on rigorous experimentation, statistical rigor, and timely delivery. 
The ideal candidate is comfortable exploring messy real-world datasets, designing experiments, developing and optimizing predictive models, and communicating findings clearly to both technical and non-technical audiences. This role suits someone who is proactive, intellectually curious, and can work independently. 
What You'll Do
<ul>
<li>Modeling &amp; Analysis: Lead end-to-end development of machine learning and statistical models, from problem framing and feature engineering through to evaluation, iteration, and handoff to production.</li>
<li>Data Exploration &amp; Pipeline Collaboration: Dive deep into complex datasets to surface insights and work closely with engineers to define and validate the data pipelines that feed model development.</li>
<li>Benchmarking &amp; Evaluation: Design and maintain robust evaluation frameworks for models, providing data-driven insights that inform modeling decisions, vendor selection, and architectural trade-offs.</li>
<li>Structured Experimentation: Hypothesize, design, implement, and measure experiments to identify optimal modeling approaches and generate actionable optimization steps.</li>
<li>Technical Point of Contact: Serve as the data science lead on projects, engaging directly with customers' R&amp;D and analytics teams, translating their business questions into well-defined modeling problems and driving tangible impact through your expertise.</li>
<li>Project Delivery Oriented: Hold a deep sense of accountability for your analysis and models, their quality, and timely delivery. Own the design, planning, and execution of the data science workstreams.</li></ul> 
 
Who You Are
<ul>
<li>Collaborative Contributor: You identify gaps, define clear assumptions, and raise critical flags early to ensure team alignment and project progress.</li>
<li>Execution-Focused Builder: You own tasks from inception to completion, translating ambiguous business questions into rigorous analyses and models that consistently meet production standards.</li>
<li>Proactive Communicator: You engage stakeholders and team members directly; rather than waiting for information, you seek it out to keep momentum moving forward.</li>
<li>Analytical Problem Solver: You contribute meaningfully to technical discussions and offer actionable recommendations, maintaining a clear path forward even when navigating ambiguity.</li>
<li>Continuous Learner: You stay at the forefront of the field by actively reviewing academic papers and emerging research to integrate the latest advances in ML and data science into your work.</li></ul> 


Qualifications
<ul>
<li>Master's in Statistics, Data Science, Computer Science, Mathematics, or similar experience</li>
<li>Strong foundation in statistical modeling, machine learning, and model evaluation techniques</li>
<li>Proficiency in designing and running structured experiments, including A/B testing and causal inference methods</li>
<li>Hands-on experience with supervised and unsupervised learning across a range of problem types (classification, regression, clustering, time-series, etc.)</li>
<li>Experience working with LLMs and GenAI techniques as tools within the data science workflow</li>
<li>Excellent written and verbal communication skills in English, capable of translating complex analytical findings into clear, actionable narratives for technical and non-technical audiences</li>
<li>Strong programming skills in Python, including the data science stack (pandas, scikit-learn, etc.)</li>
<li>Comfort working with and querying large datasets using SQL or similar tools</li>
<li>Strong analytical and problem-solving skills with a healthy skepticism toward results</li>
<li>Ability to work in a dynamic, fast-paced environment</li>
<li>Proven ability to work independently, proactively own outcomes, and contribute effectively as part of a small, close-knit team</li></ul> 


Why Join Us?

Join a team of top-tier engineers and scientists at a pivotal moment of growth. At Latent AI, we move beyond the hype to build AI solutions that actually work and deliver immediate value for an established, global client base. We are a remote-first organization that fully supports a distributed culture built on trust, autonomy, and ownership. You'll enjoy the agility and impact of a small, close-knit company paired with the high-stakes challenge of cutting-edge technical projects. If you are looking for a culture of deep technical excellence where your work directly shapes the future of production-ready AI, you belong with us.</div>

Data Scientist (DE)

MYLO

<div>Role Overview
We are seeking an experienced Engineering Manager &ndash; Data Science to lead a high-performing Data Science squad responsible for delivering scalable machine learning solutions, predictive models, and AI-driven products that drive business impact.
The ideal candidate combines deep technical expertise in Data Science and Machine Learning with strong people leadership capabilities. This role requires a strategic thinker who can manage a multidisciplinary squad, define technical roadmaps, mentor engineers and data scientists, and collaborate closely with Product, Engineering, Analytics, and Business stakeholders.
Key ResponsibilitiesLeadership &amp; Team Management<ul><li>
Lead, coach, and develop a squad of Data Scientists, Machine Learning Engineers.</li><li>
Drive team performance through goal setting, mentoring, career development, and continuous feedback.</li><li>
Build and foster a culture of innovation, ownership, collaboration, and technical excellence.</li><li>
Support recruitment, onboarding, and talent development initiatives.</li><li>
Manage squad capacity, planning, and execution to ensure successful delivery of strategic projects.</li></ul>
Technical Leadership<ul><li>
Define and execute the Data Science roadmap aligned with business objectives.</li><li>
Lead the design, development, deployment, and monitoring of machine learning models and AI solutions.</li><li>
Establish engineering best practices for model development, experimentation, MLOps, and production deployment.</li><li>
Guide architectural decisions related to data platforms, machine learning infrastructure, and AI systems.</li><li>
Ensure scalability, reliability, and maintainability of Data Science solutions.</li></ul>
Stakeholder Management<ul><li>
Partner with Product Managers, Engineering Leaders, and Business stakeholders to identify opportunities for data-driven decision making.</li><li>
Translate complex business problems into analytical and machine learning solutions.</li><li>
Communicate technical findings and recommendations to both technical and non-technical audiences.</li><li>
Drive alignment across cross-functional teams to deliver measurable business outcomes.</li></ul>
Delivery &amp; Execution<ul><li>
Oversee end-to-end project delivery from discovery and experimentation to production deployment.</li><li>
Monitor KPIs and model performance to ensure continuous improvement.</li><li>
Balance technical debt, innovation, and business priorities effectively.</li><li>
Drive agile delivery practices within the squad.</li></ul> 

Requirements 
<ul><li>
10+ years of experience in Data Science, Machine Learning, Software Engineering, or related technical fields.</li><li>
4+ years of people management experience leading Data Science or Machine Learning teams.</li><li>
Proven experience leading cross-functional squads in product-driven environments.</li><li>
Demonstrated track record of deploying machine learning models into production.</li></ul>
Technical Skills
Strong expertise in:
<ul><li><ul><li>Machine Learning</li><li>
Statistical Modeling</li><li>
Predictive Analytics</li><li>
Deep Learning</li><li>
NLP and/or Generative AI</li><li>
Experiment Design and A/B Testing</li></ul></li></ul>
Advanced proficiency in:
<ul><li><ul><li>Python</li><li>
SQL</li><li>
Data Visualization tools</li></ul></li></ul>
Experience with:
<ul><li><ul><li>MLOps practices</li><li>
Model monitoring and governance</li><li>
Cloud platforms (Azure, AWS, or GCP)</li><li>
Data Engineering concepts and modern data platforms</li></ul></li></ul>
Familiarity with:
<ul><li><ul><li>LLMs and Generative AI applications</li><li>
Feature stores</li><li>
Recommendation systems</li><li>
Real-time machine learning solutions</li></ul></li></ul>
Preferred Qualifications<ul><li>
Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.</li><li>
Experience within FinTech, Digital Products, E-commerce, Banking, or Technology organizations.</li><li>
Experience managing large-scale data platforms and AI initiatives.</li><li>
Knowledge of modern software engineering practices and DevOps methodologies.</li></ul> 

Benefits 
<ul><li>
Lead cutting-edge AI and Data Science initiatives.</li><li>
Build products impacting millions of users.</li><li>
Work with highly talented engineering and product teams.</li></ul><ul><li>
Shape the future of data-driven decision making within the organization.
</li><li>When you come to our b_labs office, you'll find creative workspaces and an open design to foster collaboration between teams.
</li><li>You know best whether you want to work from home or in the office.
</li><li>From &quot;Day 1&quot; you will receive all the equipment you need be successful at work.</li></ul></div>

Engineering Manager (Data Science)

International

<div>Position Overview:
<div>
International&rsquo;s Central Sales Administration (CSA) is seeking a Data Scientist Principal to lead the next phase of data science and analytics across pricing, forecasting, and commercial decision-making.</div><div> 
This role builds on an established foundation of models and tools and focuses on scaling impact across the organization. The individual will define priorities, guide solution development, and work closely with senior stakeholders to expand the use of data in financial and commercial decisions.</div><div> 
This role serves as the analytical leader for CSA&rsquo;s end-to-end revenue management strategy, driving the integration of pricing, demand forecasting, customer intelligence, competitive insights, and commercial performance analytics into a unified decision-making framework.</div><div> 
This is both a hands-on and strategic role - balancing technical depth with leadership and direction-setting.</div>
Responsibilities:
<div>
Strategy &amp; Roadmap</div><ul><li>
Define and prioritize data science initiatives aligned with business goals</li><li>
Identify high-impact opportunities to improve pricing, forecasting, and margin performance</li><li>
Establish the long-term roadmap for Integrated Pricing Intelligence and revenue management analytics capabilities</li></ul><div>
Solution Architecture &amp; Oversight</div><ul><li>
Guide design of scalable data pipelines, models, and analytical frameworks</li><li>
Ensure solutions are maintainable, reliable, and aligned with best practices</li><li>
Lead development of enterprise-scale analytics solutions leveraging modern data platforms such as Palantir Foundry,</li><li>
Databricks, and cloud-based AI/ML ecosystems</li></ul><div>
Advanced Analytics &amp; Modeling</div><ul><li>
Oversee development of predictive models and ensure they are robust and actionable</li><li>
Set standards for modeling approaches and evaluation</li><li>
Ensure analytical outputs are translated into decision-support tools that directly influence pricing, forecasting, and commercial strategy</li></ul><div>
Organizational Influence</div><ul><li>
Partner with Finance, Sales, and leadership to drive adoption of data-driven decision-making</li><li>
Translate analytical outputs into clear business recommendations</li><li>
Serve as a trusted advisor to senior leadership by converting analytical findings into strategic revenue and profitability recommendations</li></ul><div>
Leadership &amp; Mentorship</div><ul><li>
Mentor data scientists and analysts</li><li>
Help establish best practices for development, deployment, and communication</li><li>
Promote adoption of AI, advanced analytics, and modern data engineering practices across the organization</li></ul>
Minimum Requirements:
<ul><li>Bachelor's degree and at least 6 years of sales administration/operations, transactional price administration, or sales financial analysis experience</li><li>
At least 3 years of lead experience</li></ul><div>
OR</div><ul><li>
Master's degree and at least 5 years of sales administration/operations, transactional price administration, or sales financial analysis experience</li><li>
At least 3 years of lead experience</li></ul><div>
OR</div><ul><li>
At least 10 years of sales administration/operations, transactional price administration, or sales financial analysis experience</li><li>
At least 3 years of lead experience</li></ul>
Additional Requirements:
<ul><li><div>Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)</div></li></ul>
Desired Skills:
<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Engineering, or related field (Master&rsquo;s preferred)</li><li>
6-8+ years of experience in data science, analytics, or related roles</li><li>
Proven track record of delivering impactful, production-level data science solutions</li><li>
Advanced proficiency in Python, SQL, and machine learning frameworks</li><li>
Experience leading complex or cross-functional initiatives</li><li>
Experience leveraging AI, machine learning, and advanced analytics to support business decision-making and operational execution</li><li>
Experience with forecasting and time series modeling</li><li>
Strong background in machine learning and statistical modeling</li><li>
Experience working with enterprise data platforms (e.g., Palantir Foundry, Databricks, or similar modern analytics environments)</li><li>
Proficiency in Palantir Foundry and/or Databricks, including development of scalable analytical workflows, data products, and decision-support applications</li><li>
Experience applying Generative AI, predictive AI, and decision intelligence frameworks to business processes</li><li>
Ability to influence senior stakeholders and drive adoption</li><li>
Strong communication and leadership skills</li><li>
Ability to connect technical solutions to measurable business outcomes</li><li>
Experience supporting pricing, revenue management, commercial analytics, or related business functions preferred</li></ul>
Benefits and Compensation:
<div>
This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting https://careers.international.com/#benefits. 
 
The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience.</div>
Company Overview:
<div>
About TRATON 
With its brands Scania, MAN, International, and Volkswagen Truck &amp; Bus, TRATON SE is the parent and holding company of the TRATON GROUP and one of the world&rsquo;s leading commercial vehicle manufacturers. The Group&rsquo;s product portfolio comprises trucks, buses, and light-duty commercial vehicles. &ldquo;Transforming Transportation Together. For a sustainable world.&rdquo;: this intention underlines the Company&rsquo;s ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group&rsquo;s commercial growth.</div><div></div><div> 
About International 
From a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today, few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International&reg; trucks and engines and IC Bus&reg; school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite&reg; aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck &amp; Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit International.com.</div><div></div><ul><li> 
International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah.</li></ul> 
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EEO Statement:
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We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.</div><div> 
If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email HUB@International.com to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.</div></div>

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