lead scientist

Hiscox

<div>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Permanent
 <br/>
 <br/>
 <strong>
  Build a brilliant future with Hiscox
  <br/>
  <br/>
 </strong>
 <strong>
  Reporting to: Re &amp; ILS Head of Data
  <br/>
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 London
 <br/>
 <br/>
 Type: Permanent
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 The Lead Data Scientist is a crucial member of the
 <strong>
  extended
 </strong>
 RE&amp;ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New)
 <strong>
  Data Science and Machine Learning
 </strong>
 chapter.
 <br/>
 <br/>
 This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions).
 <br/>
 <br/>
 You will co-lead the new Data Science chapter with the RE&amp;ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision-making across RE&amp;ILS strategic Value Streams. Whilst the chapter grows, you are expected to be
 <strong>
  hands-on
 </strong>
 actively helping to architect, design, and build AI or Data Science-based solutions, using internally trained models, LLMs and/or a combination of both.
 <br/>
 <br/>
 Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the
 <strong>
  Group AI Governance Framework
 </strong>
 and maintains rigorous data governance standards. You will be accountable of this adherence.
 <br/>
 <br/>
 This is likely to be your first managerial role and the first time you have had one or more direct reports &ndash; having previously been a Senior Data Scientist or Machine Learning Engineer yourself. In this role you will be responsible for the management of a 1 to 4 junior and mid-level Hiscox FTEs and Partner resources too. You will be expected to support the Head of Data with attracting and retaining the best talent; helping to manage their career progression and ensure they are highly engaged, find the work fulfilling, and have the ability to rapidly deliver value to the business. As this is likely to be your first managerial role you will be supported and guided by other Data Leaders &ndash; Head of Data and the Hiscox Group Head of Data Science as well.
 <br/>
 <br/>
 <strong>
  About Hiscox Re &amp; ILS
  <br/>
  <br/>
 </strong>
 Hiscox Re &amp; ILS is located in
 <strong>
  Bermuda and London
 </strong>
 and underwrites reinsurance risks from around the world on behalf of our own and other people&rsquo;s capital. The team of over 100 smart, enthusiastic individuals are committed to providing top quality service to brokers and clients across a broad range of reinsurance products. Our approach is simple; match the best underwriting risk against globally diversified capital. Our proactive, product-led underwriting approach is complemented by a commitment to world class service and purpose-built analytics and systems. We know our people are our biggest asset so finding and retaining the best talent is critical to achieving our vision.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Chapter Leadership &amp; Talent Management
  </li>
  <li>
   People Management: Lead, recruit, mentor, coach, train, and retain a high-performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Inspire chapter members to be curious, embrace new ideas, and nurture psychological safety to help build a high-performance culture.
  </li>
  <li>
   In this role you will manage at least one to two Hiscox data scientists and some partner resources too. You will be expected to manage their performance with relevant PDRs and help to calibrate their overall performance ratings with other people managers in the team. You will work with the Head of Data and Group Head of Data Science to help tailor the training needs to suit each individual and ensure they have the opportunity to grow and progress in their chosen career paths.
  </li>
  <li>
   Culture &amp; Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members.
  </li>
  <li>
   Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice.
  </li>
  <li>
   Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn &ndash; especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value.
  </li>
  <li>
   Solution Delivery &amp; ML Ops Excellence
  </li>
  <li>
   Hands-On Architecture: Get hands-on to help architect, design, and build complex models that integrate into existing IT solutions to improve data-driven decision-making throughout the Reinsurance Value Chain. Ensure you and your chapter members work closely with Platform Engineers and Architects to create the most optimal and safe solutions.
  </li>
  <li>
   ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. This includes embedding a rigorous model evaluation process, ensuring consistent model refresh/rebuild capabilities due to model or data drift, and implementing effective monitoring and alerts against rogue behaviour.
  </li>
  <li>
   Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Understand when to move on and fail fast &ndash; as a lot of AI use cases will be highly experimental in nature with no guarantees of success.
  </li>
  <li>
   Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models.
  </li>
  <li>
   Strategy, Governance &amp; Innovation
  </li>
  <li>
   Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains.
  </li>
  <li>
   Governance &amp; Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work.
  </li>
  <li>
   Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&amp;D to deliver reliable insights and potential next steps quickly.
  </li>
  <li>
   Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience And Structure
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Reporting: Reports into the RE&amp;ILS Head of Data with a dotted line into the new Group Head of Data Science.
  </li>
  <li>
   Direct Reports: Direct line management for Data Scientists and Machine Learning Engineers within the RE&amp;ILS Data Science Chapter.
  </li>
  <li>
   Key Partners: RE&amp;ILS CTO, Group Head of Data Science, RE&amp;ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft).
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Candidate Profile
  <br/>
  <br/>
 </strong>
 The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA-regulated business, advocating for a data-driven approach, and driving innovation while maintaining rigorous AI governance standards. You will have a strong determination and resilience and not fear failure or the inevitable setbacks often found in highly experimental work.
 <br/>
 <br/>
 <strong>
  Main Experience Required Is
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep Interest in Leadership: As an experienced data scientist or machine learning engineer, has previously demonstrated excellent traits in mentoring and coaching more junior team members and has been happy to invest in them - clearly demonstrating they care about other peoples&rsquo; career progression. Also you can evidence some successful business outcomes that you personally drove forward using advanced Data Science/AI &ndash; as this most likely is your first leadership role.
  </li>
  <li>
   Technical Depth: Extensive "hands-on" experience in architecting, designing, and building complex ML models, with a strong understanding of cloud services and the AI/ML/LLM ecosystem.
  </li>
  <li>
   ML Ops Maturity: Proven ability to build, maintain, and support production-deployed models, including establishing effective monitoring, evaluation, and refresh processes.
  </li>
  <li>
   AI and Data Governance: Mature understanding of AI and Data governance - data obfuscation &amp; data privacy laws, data version control, data lineage, and the application of AI governance frameworks in a regulated environment.
  </li>
  <li>
   Stakeholder Management: Experience in managing and driving collaboration with business unit leaders (Underwriters, pricing teams, MI team) and external technology partners like Google Cloud, Snowflake, DataIku and Microsoft.
  </li>
  <li>
   Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent.
  </li>
  <li>
   Capacity for independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems.
  </li>
  <li>
   Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.
  </li>
  <li>
   Real world experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), AI Agents and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.
  </li>
  <li>
   Demonstrate a Solid understanding of foundational statistics and experimental design. Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization.
  </li>
  <li>
   Ability to translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real-world adoption and beneficial outcomes of our analytical work.
  </li>
  <li>
   Ability to elevate the technical maturity and capabilities of the data science chapter by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices.
  </li>
  <li>
   Educator: shown the ability to train and coach more junior and mid-level team members - ensuring they have excellent career progression and become high performers.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 If you are a visionary expert looking for your first leadership role and ready to accelerate our value delivery and champion all things Data Science and AI, we invite you to apply for the position of Lead Data Scientist at Hiscox Re &amp; ILS. Join our team and be a catalyst for AI adoption in a dynamic, forward-thinking organization.
 <br/>
 <br/>
 <em>
  Work with amazing people and be part of a unique culture
 </em>
</div>


Lead Data Scientist

Lloyds Banking Group

<div><p><b>End Date
</b></p>Wednesday 29 July 2026
<p></p><p><b>Salary Range
</b></p>&pound;92,701 - &pound;109,060
<p></p><p><b>We support flexible working &ndash; click here for more information on flexible working options
</b></p><p></p><p><b>Flexible Working Options
</b></p>Hybrid Working, Job Share
<p></p><p><b>Job Description Summary
</b></p>.
<p></p><p><b>Job Description
</b></p><div><div><p><b>JOB TITLE: </b>Lead Data Scientist
</p></div><div><p><b>SALARY: </b>&pound;92,701 - &pound;109,060
</p></div><div><p><b>LOCATION: </b>Edinburgh, Leeds, Manchester &amp; Bristol
</p></div><div><p><b>HOURS: </b>Full time (35 hours)
</p></div><div><p><b>WORKING PATTERN: </b>Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.<br>
</p></div><p></p><div><p><b>About this opportunity&hellip;
</b></p></div><div><p>At Lloyds Banking Group, we&rsquo;re moving to the next stages of our digital transformation, and it&rsquo;s our job within the Chief Security Office (CSO) to ensure that we keep our customers, colleagues and assets safe from threat. The CSO&rsquo;s Security Data and AI lab have a phenomenal opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and Data Engineering feature teams.<br>
</p></div><p></p><div><p>In this role, you&rsquo;ll be owning the way in transforming how we detect, mitigate, and prevent cyber threats using advanced AI and machine learning. This is a rare opportunity to build the future of cybersecurity in one of the UK&rsquo;s most data-rich environments.<br>
</p></div><p></p><div><p><b>About us&hellip;
</b></p></div><div><p>Like the modern Britain we serve, we&rsquo;re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We&rsquo;re growing with purpose. Join us on our journey and you will too&hellip;<br>
</p></div><p></p><div><p><b>What </b><b>you&rsquo;ll </b><b>do...
</b></p></div><div><ul><li><p>Own the delivery of security outcomes , including d efin ing and evolv ing approaches to anomaly detection that balanc e performance, explainability, and operational risk .
</p></li></ul></div><div><ul><li><p>Lead a team of Data Scientists
</p></li></ul></div><div><ul><li><p>Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models.
</p></li></ul></div><div><ul><li><p>Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP.
</p></li></ul></div><div><ul><li><p>Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT, SOX).
</p></li></ul></div></div><div><div><ul><li><p>C ontribute to the Data Science Community of Practice, helping shape best practices across the organisation.
</p></li></ul></div><div><ul><li><p>Translate sophisticated data insights into actionable intelligence for collaborators across the Group COO and CSO functions<br>
</p></li></ul></div><p></p><div><p><b>What </b><b>you&rsquo;ll </b><b>need...
</b></p></div><div><ul><li><p>Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics.
</p></li></ul></div><div><ul><li><p>Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch ), and cloud platforms (preferably GCP).
</p></li></ul></div><div><ul><li><p>Deep Learning Theory &amp; Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning architectures.
</p></li></ul></div><div><ul><li><p>Experience with LLMs and generative AI in production environments is highly desirable.
</p></li></ul></div><div><ul><li><p>Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations.
</p></li></ul></div><div><ul><li><p>Excellent communication and customer engagement skills
</p></li></ul></div><div><ul><li><p>Innovators Mentality - An innovator and change agent who keeps up to date with the latest trends and developments in data engineering and cyber security to ensure our strategies remain at the forefront of the industry.<br>
</p></li></ul></div><p></p><div><p><b>It would be great if you also had&hellip;
</b></p></div><div><ul><li><p>Understanding of the emerging threats within Cyber Security<br>
</p></li></ul></div><p></p><div><p><b>About working for us
</b></p></div><div><p>Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it&rsquo;s why we especially welcome applications from under-represented groups. We&rsquo;re disability confident. So, if you&rsquo;d like reasonable adjustments to be made to our recruitment processes, just let us know.<br>
</p></div><p></p><div><p><b>We also offer a wide-ranging benefits package, which includes&hellip;
</b></p></div><div><ul><li><p>A generous pension contribution of up to 15%
</p></li></ul></div><div><ul><li><p>An annual bonus award, subject to Group performance
</p></li></ul></div></div><div><div><ul><li><p>Share schemes including free shares
</p></li></ul></div><div><ul><li><p>Benefits you can adapt to your lifestyle, such as discounted shopping
</p></li></ul></div><div><ul><li><p>30 days&rsquo; holiday, with bank holidays on top
</p></li></ul></div><div><ul><li><p>A range of wellbeing initiatives and generous parental leave policies<br>
</p></li></ul></div><p></p><div><p>If you&rsquo;re excited by the thought of becoming part of our team, get in touch. <b>We&rsquo;d </b><b>love to hear from you!
</b></p></div></div><p></p><p><b>At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
</b></p><p></p><p><b>We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.
</b></p><p></p><p><b>We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we&rsquo;re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.</b></p></div>

Talan

<div><b>Company Description</b><p><br>
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).</p><b><br>
Job Description</b><p><br>
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.</p><p>
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.</p><p>
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.</p><p><b>
Required skills &amp; experience:</b></p><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><br>
<b>
Qualifications</b><p><b><br>
To qualify for this role, you must have:
</b></p><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><p><b>
Ideally, you&rsquo;ll also have, but not essential:</b></p><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><p><b>
You must be:</b></p><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><p>
#TalanUK #LI-HB1</p><b><br>
Additional Information</b><p><b><br>
Compensation &amp; Benefits Package:</b></p><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><p><b>
Why join:</b></p><p>
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.</p></div>

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

Wise

<div><b>Company Description</b><p><br>
Wise is a global technology company, building the best way to move and manage the world&rsquo;s money.<br>
<b>Min fees. Max ease. Full speed.</b></p><p>
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.</p><p>
As part of our team, you will be helping us create an entirely new network for the world's money.<br>
<b>For everyone, everywhere.</b></p><p>
More about <b>our mission</b> and <b>what we offer</b>.</p><b><br>
Job Description</b><p><b><br>
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.</b></p><p><b>
Your work will have a direct impact on </b><b>Wise&rsquo;s mission</b><b> and millions of our customers.</b><br>
</p><p><b>About the Role:</b></p><p>
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.</p><p>
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:</p><p>
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.</p><p><b>
What you&rsquo;ll own</b></p><ul><li><p>
Python microservices that run quantitative models in production</p></li><li><p>
Monitoring, alerting, and reliability for real-time pricing and risk systems</p></li><li><p>
Shared quant libraries used across multiple services</p></li><li><p>
CI/CD pipelines, deployment and operational excellence</p></li><li><p>
Incident response and root cause analysis for production issues</p></li></ul><p><b>
Where you&rsquo;ll grow</b></p><ul><li><p>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</p></li><li><p>
Pricing models for new instruments and products</p></li><li><p>
Trading strategy development and optimisation</p></li><li><p>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</p></li><li><p>
Backtesting frameworks and model validation</p></li><li><p>
Customer behaviour modelling, pricing strategy and product launch support</p></li><li><p>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</p></li></ul><b><br>
Qualifications</b><p></p><p><b><br>
What we&rsquo;re looking for</b></p><ul><li><p>
4+ years building and maintaining production Python systems</p></li><li><p>
Strong experience with microservices, databases, and production infrastructure</p></li><li><p>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</p></li><li><p>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</p></li><li><p>
Experience with testing, monitoring, and debugging complex systems under load</p></li><li><p>
A product mindset - you think about who uses your systems and why</p></li><li><p>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</p></li></ul><p><b>
It&rsquo;s a bonus if you are familiar with</b></p><ul><li><p>
FX or financial markets experience</p></li><li><p>
Term structure modelling, stochastic calculus or Monte Carlo methods</p></li><li><p>
Interest rate curve bootstrapping</p></li><li><p>
Algorithmic execution experience</p></li><li><p>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</p></li></ul><p><b>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.</b></p><p><b>
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.</b></p><p><b>
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic</b></p><b><br>
Additional Information</b><div></div><p><br>
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.</p><p>
We're proud to have a truly international team, and we celebrate our differences.<br>
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.</p><p>
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.</p><p>
Keep up to date with life at Wise by following us on LinkedIn and Instagram.</p></div>

Lead Data Scientist (Quant) - Treasury FX

Wise Australia Investments

<p></p><div><div><div><p>Wise is a global technology company, building the best way to move and manage the world&rsquo;s money.<br>
<b>Min fees. Max ease. Full speed.</b></p><p>
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.</p><p>
As part of our team, you will be helping us create an entirely new network for the world's money.<br>
<b>For everyone, everywhere.</b></p><p>
.</p><p><b><br>
Job Description</b></p><p><b><br>
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.</b></p><p><b>
Your work will have a direct impact on </b><b>Wise&rsquo;s mission</b><b> and millions of our customers.</b><br>
</p><p><b>About the Role:</b></p><p>
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.</p><p>
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:</p><p>
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.</p><p><b>
What you&rsquo;ll own</b></p><ul><li><p>
Python microservices that run quantitative models in production</p></li><li><p>
Monitoring, alerting, and reliability for real-time pricing and risk systems</p></li><li><p>
Shared quant libraries used across multiple services</p></li><li><p>
CI/CD pipelines, deployment and operational excellence</p></li><li><p>
Incident response and root cause analysis for production issues</p></li></ul><p><b>
Where you&rsquo;ll grow</b></p><ul><li><p>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</p></li><li><p>
Pricing models for new instruments and products</p></li><li><p>
Trading strategy development and optimisation</p></li><li><p>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</p></li><li><p>
Backtesting frameworks and model validation</p></li><li><p>
Customer behaviour modelling, pricing strategy and product launch support</p></li><li><p>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</p></li></ul><p><b><br>
Qualifications</b></p><p></p><p><b><br>
What we&rsquo;re looking for</b></p><ul><li><p>
4+ years building and maintaining production Python systems</p></li><li><p>
Strong experience with microservices, databases, and production infrastructure</p></li><li><p>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</p></li><li><p>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</p></li><li><p>
Experience with testing, monitoring, and debugging complex systems under load</p></li><li><p>
A product mindset - you think about who uses your systems and why</p></li><li><p>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</p></li></ul><p><b>
It&rsquo;s a bonus if you are familiar with</b></p><ul><li><p>
FX or financial markets experience</p></li><li><p>
Term structure modelling, stochastic calculus or Monte Carlo methods</p></li><li><p>
Interest rate curve bootstrapping</p></li><li><p>
Algorithmic execution experience</p></li><li><p>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</p></li></ul><p><b>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.</b></p><p><b>
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.</b></p><p><b>
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic</b></p><p><b><br>
Additional Information</b></p><div></div><p><br>
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.</p><p>
We're proud to have a truly international team, and we celebrate our differences.<br>
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.</p><p>
If you want to find out more about what it's like to work at Wise visit <b>Wise.Jobs</b>.</p><p>
Keep up to date with life at Wise by following us on </p></div></div><p></p><div><div><div><div><b>Instagram</b></div></div></div></div></div><div></div>

General Dynamics Information Technology

<div></div><div><div><div>Clearance Level
<div>Secret</div>
</div><div></div><div>Category
<div>Data Science and Data Engineering</div>
</div><div></div><div>Location
<div>Sterling, Virginia</div>
<i>(</i><i>Hybrid Workplace</i><i>)</i>
</div><div>
</div></div><div><div>Key Skills For Success
</div><div><p>Data Modeling</p>
</div><div><p>Data Science</p>
</div><div><p>Language Models</p>
</div><div><p>Machine Learning Algorithms</p>
</div><div><p>Python (Programming Language)</p>
</div></div><div></div><div><div><div><div><div><div>
</div></div></div><div><h5 class="jobSectionHeader"><b>REQ#:</b><b> </b><b>RQ222918</b></h5>
<h5 class="jobSectionHeader"><b>Public Trust:</b><b> </b><b>None</b></h5>
<h5 class="jobSectionHeader"><b>Requisition Type:</b><b> </b><b>Regular</b></h5>
<h5 class="jobSectionHeader"><b>Your Impact</b></h5>
<p>Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p>
<h2 class="jobSectionHeader"><b>Job Description</b></h2>
<div><div>Data Scientist Sr Principal
<br>
<br>
Deliver insights to help our clients turn data into action as a Senior Data Scientist at GDIT. Your work will provide transformative solutions to our clients&rsquo; big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients&rsquo; mission and on your career.
<br>
<br>
At GDIT, people are our differentiator. As a Data Scientist Senior Principal you will help ensure today is safe and tomorrow is smarter.
<br>
<br>
HOW A DATA SCIENTIST SR PRINCIPAL WILL MAKE AN IMPACT
<ul><li>Performs scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets; develop data-driven solutions to difficult business challenges</li></ul></div>
<ul><li><p>Investigates, analyzes, and formulates automated search and reporting from the customer environment or enclave.</p>
</li><li><p>Evaluates, tests, and recommends various AI/ML models and tools, including Cloud based module, third party module and open-source products.</p>
</li><li><p>Develop user interface and dashboard for search capability as well as reporting and monitoring capability within hybrid cloud environment or customer provided cloud environment.</p>
</li><li><p>Ensures that cybersecurity plans, controls, processes, standards, policies, and procedures are aligned with cybersecurity standards.</p>
</li><li><p>Identifies security risks and exposures, determines the causes of security violations and suggests procedures to halt future incidents and improve security</p>
</li><li><p>May coach and provide guidance to less-experienced professionals.</p>
</li><li><p>Other duties as assigned related to developing data science and AI/ML initiatives.</p><br>
</li></ul><div><br>
<br>
<br>
WHAT YOU&rsquo;LL NEED TO SUCCEED:
<ul><li>Education: Bachelors of Science
</li><li>Required Experience: 10+ years of related experience
</li><li>Security Clearance Level: Minimum Secret Clearance
</li><li>Travel: Occasional travel may be required
</li><li>Location: Hybrid
</li><li>US Citizenship Required
</li></ul></div><p></p><p>Required Technical Skills:</p>
<ul><li>Advanced Python programming skills with strong familiarity with AI/ML modules</li>
<li>Proficiency in machine learning algorithms</li>
<li>Proficiency in data modeling and visualizations</li>
<li>Proven experience as a software developer, particularly with language models</li>
<li>Working experience with Windows and Linux development environments</li>
<li>Excellent communication skills and ability to conduct presentations to various audiences, including senior leadership</li>
<li>Must be able to document design, pseudo codes, and flow chart for review and approval</li>
<li>Familiarity with Data Science related Mathematics including statistics and probability, linear algebra and calculus</li>
</ul><p></p><p>Key Responsibilities:</p>
<ul><li>Develop AI/ML tool based on customer requirements</li>
<li>Communicate and work with team members to meet contractor obligations</li>
<li>Engage with customer stakeholders and PMO team on a regular basis</li>
<li>Lead and devise innovative methods and techniques to leverage AI/ML to improve risk assessments</li>
<li>Provide input to project planning and weekly reports</li>
<li>Document design, tool&rsquo;s requirements and user guide</li>
<li>Setup and provide tool demos to stakeholders</li>
</ul><p></p><p>Own your career as a Data Scientist at GDIT. Here, you&rsquo;ll have the opportunity to build advanced AI/ML tools using cutting-edge technologies. Your work in data analytics at GDIT will have an impact on securing our clients&rsquo; missions and ensuring we anticipate the threats of tomorrow.</p>
<p></p><p>The Data Scientist will serve as a pivotal figure within the organization. This role demands a professional with a solid grasp of data modeling, machine learning, AI and language such as Python and SQL.</p>
<p></p><div>GDIT IS YOUR PLACE:
<ul><li>Full-flex work week to own your priorities at work and at home
</li><li>401K with company match
</li><li>Comprehensive health and wellness packages
</li><li>Internal mobility team dedicated to helping you own your career
</li><li>Professional growth opportunities including paid education and certifications
</li><li>Cutting-edge technology you can learn from
</li><li>Rest and recharge with paid vacation and holidays</li></ul></div>
</div></div><div><div><div><h3 class="jobSectionHeader"><b>Work Requirements</b></h3>
</div></div><div></div><div><div>Years of Experience
<p>10 + years of related experience</p>
<ul><li>may vary based on technical training, certification(s), <b><i>or</i></b> degree</li></ul>
</div><div></div><div>Certification
</div><p></p><div>Travel Required
<p>Less than 10%</p>
</div><div></div><div>Citizenship
<p>U.S. Citizenship Required</p>
</div></div></div></div><div><h3 class="jobSectionHeader"><b>Salary and Benefit Information</b></h3>
<p>The likely salary range for this position is $152,150 - $205,850. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
</p>
<h3 class="jobSectionHeader"><b>Our Identity Verification Process</b></h3>
<p>As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</p>
<h3 class="jobSectionHeader"><b>About Our Work</b></h3>
<div></div><p>We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.</p>
<p>Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</p>
<p><i>Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></p></div></div></div></div>

Senior Data Scientist - Government Clearance Required

researchersjob

<div>
 <ul>
  <li>
   Job
  </li>
  <li>
   Scientist
   <br/>
   <br/>
  </li>
 </ul>
 Project Scientist-II Positions at inStem: Apply by 30 March 2026
 <br/>
 <br/>
 March 8, 2026
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 <br/>
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 <strong>
  Designation/Position-
 </strong>
 Project Scientist-II Positions
 <br/>
 <br/>
 Institute for Stem Cell Science and Regenerative Medicine invites applications for Project Scientist-II Positions at inStem from eligible and interested candidates.
 <br/>
 <br/>
 <strong>
  About-
 </strong>
 The Institute for Stem Cell Science and Regenerative Medicine (inStem), is a state-of-the-art research institute in Bangalore, India, dedicated to the study of stem cells and regenerative biology with translational emphasis. An autonomous institute funded by the Dept. of Biotechnology (DBT), Govt. of India, inStem&rsquo;s research structure is built on a core of collaborative research with a thematic focus. inStem&rsquo;s mandate to allow this cross-disciplinary, multi-pronged approach to research, straddles the divide between clinical and laboratory research. In trying to answer intractable and challenging questions that face the field, inStem seeks to rewrite the paradigm of the research institute: without barriers and across disciplines.
 <strong>
  Project Scientist-II Positions
  <br/>
  <br/>
 </strong>
 <strong>
  Research/Job Area-
 </strong>
 Stem cell biology, Developmental biology, Cell biology, and/or Molecular Biology.
 <br/>
 <br/>
 <strong>
  Location-
 </strong>
 Bangalore, India
 <br/>
 <br/>
 <strong>
  Eligibility/Qualification&ndash;
  <br/>
  <br/>
 </strong>
 (i) Doctoral Degree in Science from a recognised university or equivalent in Stem cell biology, Developmental biology, Cell biology, and/or Molecular Biology.
 <br/>
 <br/>
 (ii) PS-II eligibility &ndash; 3year of post &ndash; PhD experience in R &amp; D
 <br/>
 <br/>
 <strong>
  Job/Position Description-
  <br/>
  <br/>
 </strong>
 BRIC-inStem invites applications (in online mode) from eligible candidates for various contractual positions under a project funded by BRIC
 <strong>
  -SAHAJ
 </strong>
 . We are looking for dedicated professionals who are result-oriented, can assimilate, analyze and communicate data effectively and are excellent team players capable of working in a fast-paced, multi-disciplinary environment.
 <br/>
 <br/>
 Project Scientist &ndash; I- Rs. 56,000/m + HRA
 <br/>
 <br/>
 (or)
 <br/>
 <br/>
 Project Scientist &ndash; II- Rs. 67000 +HRA
 <br/>
 <br/>
 <strong>
  No. of Post &ndash;
 </strong>
 02
 <br/>
 <br/>
 <ul>
  <li>
   Stem Cell biology related research requiring techniques including stem cell culture, all steps of quality control and differentiation of human stem cells and organoids as per prescribed protocols.
  </li>
  <li>
   Preparation of Microscopy samples, imaging
  </li>
  <li>
   Routine molecular biology work such as cloning, nucleic acid isolation, RT-PCR, and nucleic acid sequencing.
  </li>
  <li>
   Plan experiments, order reagents, and adhere to protocols
  </li>
  <li>
   Regular data analysis, project updates, literature survey, and presentation of data
  </li>
  <li>
   Participate in project team meetings and contribute to the projects intellectually
  </li>
  <li>
   Prepare professional reports, presentations, and lab records.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Tenure:
 </strong>
 Contractual appointment for 11 months, renewable based on requirement and review of progress and requirement of the Grant.
 <br/>
 <br/>
 <strong>
  Mode of Applications:
 </strong>
 Only online applications will be accepted. Applications received through any other mode shall stand rejected automatically.
 <br/>
 <br/>
 <strong>
  How To Apply-
  <br/>
  <br/>
 </strong>
 <strong>
  :
 </strong>
 Interested candidates may log into the BRIC-inStem website &ndash; Careers &ndash; Open positions (https://www.instem.res.in/jobportal/ )
 <br/>
 <br/>
 Applicants should submit the following information as a single PDF file:
 <br/>
 <br/>
 <ul>
  <li>
   2-page Curriculum vitae with current address, phone (mobile) number and e-mail address.
  </li>
  <li>
   1-page Motivation letter explaining past research experiences, career goals, and motivation to join our laboratory and research programs. Please include the advertisement number in the letter and upload the same as one document with a CV.
  </li>
  <li>
   Contact information of at least two referees (will be contacted only if needed)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Last Date for Apply
 </strong>
 &ndash; 📅
 <strong>
  30 March 2026
  <br/>
  <br/>
 </strong>
 <strong>
  See Position Details-
  <br/>
  <br/>
 </strong>
 <strong>
  Official Website-
  <br/>
  <br/>
 </strong>
 <strong>
  Find or Post Research Project PositionS &ndash; Researchersjob Board
  <br/>
  <br/>
 </strong>
 <strong>
  See Also:
 </strong>
 Motivation Letter for PhD, Postdoc, and Other Research Positions
 <br/>
 <br/>
 Whitesmoke Grammar Checker Online &ndash; Improve Your Research Writing Skill &ndash; Alternative to Grammarly
 <br/>
 <br/>
 How to write a literature review: Tips, Format, and Significance
 <br/>
 <br/>
 Research Proposal How to Write: Detail Guide and Template
 <br/>
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Project Scientist-II Positions at inStem: Apply by 30 March 2026

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Lead Data Scientist (Quant) - Treasury FX

Lead Data Scientist (Quant) - Treasury FX

Senior Data Scientist - Government Clearance Required

Project Scientist-II Positions at inStem: Apply by 30 March 2026