data scientist

senior data scientist

senior ai engineer

analytics engineer

lead data scientist

chief analytics officer

Zoopla

<p></p><div>Who We Are<p></p><p>
Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches.</p><p></p><p>
Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla&rsquo;s customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers.</p><p></p><p>
Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together.</p><p></p>
What You&rsquo;ll Do<p></p><p>
As a Senior Analytics Engineer in the Data Analytics team, you&rsquo;ll own and develop the data modelling infrastructure, architecture and pipelines powering a wide range of data initiatives and data products.</p><br>
<ul><li>
Own the analytics engineering workflow and architecture for the data modelling layer at the heart of the business.</li><li>
Ensure orchestration runs successfully, troubleshooting errors in key pipelines and empowering others to do the same.</li><li>
Effectively communicate and act as a liaison between highly technical and non-technical stakeholders, to translate business needs into engineering requirements.</li><li>
Deliver, and enable others to build, well-defined, transformed, tested, documented, and code-reviewed data sets. Due to the high quality of this data and the associated documentation, business users are able to self-serve, analyse, and build products and services upon it, getting reliable, consistent results.</li><li>
Proactively seek automation and optimisation opportunities to constantly improve and develop the transformation layer, and unify its usage across multiple teams.</li><li>
Train, upskill and support others in dbt and data modelling best practices, applying software engineering practices to analytics code (version control, automated testing, continuous integration).</li></ul><p></p>
We&rsquo;re looking for someone who:<ul><li>
Has experience setting up &amp; developing dbt architecture using CI/CD practices (essential)</li><li>
Is highly proficient with SQL and data modelling best practices for optimising performance (essential)</li><li>
Has previously worked with visualisation tools such as Tableau or PowerBI (essential)</li><li>
Is confident collaborating and communicating with non-technical stakeholders (essential)</li><li>
Has experience integrating dbt with other tools in the modern data stack (essential)</li><li>
Is comfortable harnessing AI workflows to expedite development in a scalable, sustainable way (essential)</li><li>
Has experience working with Databricks and AWS (Glue, Lambda, Step Functions) or similar cloud platform (desirable)</li></ul><p></p>
Where You&rsquo;ll Be<p></p><p>
At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You&rsquo;ll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all-Zoopla days in the office together plus a third in-office day of your choosing.</p><p></p><p>
Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you&rsquo;ll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views.</p><b><br>
Benefits</b><br>
<ul><li>
Our hybrid setup means you&rsquo;ll join us in the Tower Bridge office 3 days each week</li><li>
25 days annual leave + additional leave benefits Including extra days for length of service, plus other leave perks</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 and private medical insurance</li><li>
Gym on-site in London</li><li>
7.5% pension contribution by the company</li><li>
Discretionary annual bonus up to 10% of base salary</li></ul></div>

Senior Analytics Engineer

Simply Business

<div>
 <strong>
  Who Are We?
  <br/>
  <br/>
 </strong>
 We insure small businesses and enable big dreams &ndash; not just for our customers, but for our people and communities too. With over 1,000,000 active insurance policies, we protect builders, bakers, landlords and more than 1,200 other trades.
 <br/>
 <br/>
 We&rsquo;re a technology company as well as one that sells insurance. That means we build, we fail, we learn and we improve. Through our global social impact strategy, called 'The Big Dreams Project&rsquo;, we're working to help 10,000 small businesses start or grow by 2030.
 <br/>
 <br/>
 Why not check out our advert on YouTube: Simply Business TV advert 2024: 'Simply the Best'.
 <br/>
 <br/>
 <strong>
  Job Category
  <br/>
  <br/>
 </strong>
 Technology
 <br/>
 <br/>
 <strong>
  Position Type
  <br/>
  <br/>
 </strong>
 Permanent
 <br/>
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 <strong>
  Target Openings
  <br/>
  <br/>
 </strong>
 1
 <br/>
 <br/>
 <strong>
  What Is the Opportunity?
  <br/>
  <br/>
 </strong>
 <strong>
  Here's What You'll Be Doing
  <br/>
  <br/>
 </strong>
 Data and Analytics (DNA) is the heartbeat of Simply Business, empowering every decision we make with precision and insight. As our Senior Analytics Engineer, you&rsquo;ll be at the forefront of this mission, moving beyond standard reporting to build the high-performance, event-driven data models that power our AI and ML future.This role is a unique blend of technical mastery and strategic influence. You won't just be building pipelines; you&rsquo;ll be pioneering AI readiness by designing low-latency architectures that drive real-time decisions&mdash;from dynamic pricing to risk assessment&mdash;across our entire global operation
 <br/>
 <br/>
 <strong>
  As One Of Our Senior Analytics Engineers, You'll
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build authoritative data models in our warehouse, ensuring every asset is robust, scalable, and fully AI/ML ready.
  </li>
  <li>
   Integrate diverse new data sources to enrich our analytical capabilities and provide the complex datasets required for advanced machine learning.
  </li>
  <li>
   Collaborate across engineering and product teams to ensure application designs support sophisticated reporting and real-time AI features.
  </li>
  <li>
   Manage and optimise ELT pipelines that serve as the single source of truth for our Finance, Operations, and Marketing teams.
  </li>
  <li>
   Champion technical standards by mentoring junior engineers and driving best practices in data governance and quality assurance.
  </li>
  <li>
   Pioneer feature engineering pipelines that allow us to challenge the status quo and deliver refreshing, data-led solutions to our customers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We're Looking For Someone Who Is
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A seasoned data expert with 3+ years of experience in analytics or data engineering, specifically modeling and transforming data using tools like dbt.
  </li>
  <li>
   Technically proficient in cloud environments, with hands-on experience using Snowflake or Databricks to manage large-scale data assets.
  </li>
  <li>
   Experienced in building ML features, with a passion for creating the infrastructure that makes artificial intelligence possible.
  </li>
  <li>
   Adaptable and curious, ideally bringing familiarity with various programming languages and an interest in evaluating new tools to drive AI adoption.
  </li>
  <li>
   A proactive problem solver who might have experience with real-time streaming (like Apache Flink) or a background in the insurance domain.
  </li>
  <li>
   A relatable communicator who can translate complex technical architecture into plain English for stakeholders across the business.
   <br/>
   <br/>
  </li>
 </ul>
 We know it's tough, but please try to avoid the confidence gap. You don't have to match all the bullet points above to be considered for this role.
 <br/>
 <br/>
 We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work.
 <br/>
 <br/>
 <strong>
  Ready to build the future of insurance?
  <br/>
  <br/>
 </strong>
 If you&rsquo;re a tech-minded engineer who thrives on complexity and wants to see your code drive real-world impact, we want to hear from you. At Simply Business, we&rsquo;ve moved past legacy constraints&mdash;we&rsquo;re building a high-scale, event-driven ecosystem where your work on AI-ready data models will directly protect over 900,000 customers. Join a team where your expertise is celebrated, your development is prioritised, and your technical vision helps us redefine what&rsquo;s possible in Insurtech.
 <br/>
 <br/>
 <strong>
  Apply now to start your journey with SB
  <br/>
  <br/>
 </strong>
 <strong>
  What Are The Benefits Of Working At Simply Business
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   we offer a great work-life balance where workloads are manageable and everyone has the flexibility to work hybrid
  </li>
  <li>
   on top of the 25 days annual leave (plus bank holidays), we offer the option to buy five more days of holiday with your flexible benefits
  </li>
  <li>
   our flexible parental leave allows you to approach an important time how you want - with six months full pay to the primary caregiver and four weeks full pay if you're the secondary caregiver
  </li>
  <li>
   our life event leave is an extra days leave every two years for those big moments in your life like moving house or your birthday. And our long-serving employees get a two week paid sabbatical after five years of service, then four weeks off after ten years of service
  </li>
  <li>
   private medical insurance through BUPA, that covers any pre-existing condition is a core benefit. Plus a health cash plan that covers your everyday medical expenses
  </li>
  <li>
   we offer a competitive salary based on your experience and the current market. Plus the potential to earn an annual bonus based on performance
  </li>
  <li>
   access to tools to support your personal development on our dedicated learning platform. As well as support for your mental health with access to counselling
  </li>
  <li>
   we match what you put into your pension up to five per cent. And pass on a tax-free sum that's four times your basic salary with our life assurance policy, with the option to increase it to ten times through our flexible benefit scheme
  </li>
  <li>
   our salary sacrifice car scheme gives you the option to buy a brand new, fully insured, and maintained car for a convenient fixed monthly amount taken from your gross salary (after 6 months service)
  </li>
  <li>
   our flexible benefits scheme gives you an allocated amount to use each year on benefits like critical illness cover, dental insurance, travel insurance, or a gym membership
   <br/>
   <br/>
  </li>
 </ul>
 Ready to join us and drive our success as a high-performing team? Apply today.
 <br/>
 <br/>
 <strong>
  Employment Practices
  <br/>
  <br/>
 </strong>
 Simply Business is committed to providing equality and opportunities for all employees and candidates considering a career with us. We offer a workplace where colleagues are treated with respect and dignity. We don&rsquo;t (and won&rsquo;t) discriminate either directly or indirectly on the grounds of race, colour, religion, belief, political opinion, disability, nationality, ethnic origin, sex, sexual orientation or relationship status at any stage of the hiring process or during the course of your employment.
</div>


Royal BAM Group

<div><div><div><h2 class="jobSectionHeader"><b>Building a sustainable tomorrow</b></h2>
</div><div><div><p>
What if your next step led further than you thought?<br>
With a reputation built over 150 years, BAM has the depth, scale and momentum to offer you more than a next step. We offer you a path. One that can take you across sectors, into leadership, or even around the world. We invest in development because we want our people to stay and grow. Wherever you want to go, we&rsquo;ll help you get there.</p></div><div><p>
BAM UK&amp;I are recruiting a UK &amp; I Data Director to join our Finance team from any UK office on a hybrid basis.</p></div><div><p>
The UK&amp;I Data Director for BAM UK &amp; Ireland is a senior role, responsible for the division&rsquo;s data strategy, governance, management and utilisation, focusing on turning data into a valuable company asset.</p></div><div><p>
The UK&amp;I Data Director will have the authority to recommend changes to divisional processes and, where appropriate, technology to achieve the above role objectives subject to BAM governance procedures.</p></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Making Possible</b></h2>
</div><div><p>
Senior executive leading enterprise data strategy, governance, and analytics for a major infrastructure contractor. Ensures data supports project delivery, financial performance, and regulatory compliance. Integrates project, cost, safety, people and environmental data to drive performance insight</p><p>
Degree in Data Science, Civil Engineering, Construction Management, or Business (often MSc/MBA) with a strong academic background and continuous professional development.</p><p>
Proven leadership of successful process and data transformation projects. Experience in managing and leading data management, reporting &amp; analytics teams. Proven success in developing enterprise-wide data and digital strategies within construction or infrastructure sectors. Demonstrated outcomes in improving project delivery, data quality, cost forecasting, and operational efficiency through data-driven decision-making.</p><p>
Deep understanding of European and UK data and construction standards &mdash; GDPR, ISO19650 (BIM), EU Taxonomy, CSRD, and national infrastructure digital frameworks. Ensures compliance with safety, environmental, and financial reporting requirements.</p><p>
Oversees integration of project, finance, procurement, and asset data across the enterprise. Fundamental understanding of core business processes, data and their associated technical solutions. Establishes data standards for cost control, planning, and performance reporting. Embeds automation and analytics in project controls and asset lifecycle management.</p><p><b>
Skills</b></p><p>
Works closely with project managers, finance leads, engineers, and IT to align data priorities with delivery and financial objectives. Works effectively as part of an executive team and is flexible to step in and assist whenever and wherever required.</p><p>
Champions digital transformation, automation, and process improvement across all project and corporate data workflows.</p><p>
Awareness of BIM, data governance, IoT data integration, cloud analytics, and AI applications in construction (e.g. predictive maintenance, safety analytics).</p><p>
Leads cultural change towards data-driven project management and decision-making.</p><p>
Supports upskilling in digital tools and data literacy.</p><p>
Working closely with the executive leadership especially the UK&amp;I Chief Operating Officer, Executive Director of Finance and the IT Director on data driven insights and strategic recommendations in a constructive, empowering and collaborative manner, examples may include data strategy, ROI of digital initiatives, and evidence-based performance management.</p><p>
Influences client and partner data collaboration standards.</p><p>
Creates clarity through dashboards, storytelling, and visual analytics; communicates data strategy across a dispersed and multidisciplinary workforce.</p><p>
Works effectively across all levels of the organisation to achieve shared goals and builds partnerships with technology vendors, joint venture partners, and clients to ensure interoperability and shared data value across the construction ecosystem.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your team</b></h2>
</div><div><p>
This role can be based from any UK&amp;I office, with a hybrid working pattern of three days per week in the office.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What&rsquo;s in it for you?</b></h2>
</div><div><div>
In addition to an attractive salary we offer a significant benefits package which could include:<br>
<ul><li> Competitive salary</li><li> A wide range of family friendly policies</li><li> Private healthcare</li><li> Life assurance</li><li> 26 days holiday</li><li> 2 wellbeing days</li><li> 1 volunteering day</li><li> Personal and professional development</li><li> Flexible benefit pot</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
The application process</b></h2>
</div><div><p>
BAM is committed to ensuring a fully inclusive recruitment and onboarding process, so if at any time you feel we need to do something to make it more accessible to you, do not hesitate to speak with one of our team, and we will do our best to support you.</p><p>
For more information or an informal conversation about this exciting career opportunity please contact Paul Howes, Recruitment Manager paul.howes@bam.com</p><p>
Closing date 15th July</p><p>
IND1</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What do you bring to the role?</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>About BAM</b></h2>
</div><div><p><i>
Building a sustainable tomorrow. That&rsquo;s our mission and our promise at BAM. It&rsquo;s how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe.</i></p><p><i>
We strive to create an environment where everybody feels welcome and valued. We&rsquo;re on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics.</i></p></div></div></div>

UK&I Data Director

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p><p>
</p><p>As an Applied AI ML Director - NLP / LLM and Graphs within the Chief Data &amp; Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.</p><p>
</p><p>Job Responsibilities</p><ul><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li><li>
Lead, mentor, and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
</li><li>Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business</li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community<br>
<li>
</li></ul><p>Required qualifications, capabilities, and skills</p><ul><li>
PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.</li><li>
Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods</li><li><p>
Hands on experience building agentic AI / multi-agent systems within regulated or compliance-driven environments</p><p>
</p><p>Recent hands-on experience training, deploying models and pipelines</p><p>
</p></li><li>Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, with a focus on agentic systems and LLM evaluation</li><li>
Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li><li>
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li></ul><p>
</p><p>Preferred qualifications, capabilities , and skills:</p><ul><li>
Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development</li><li>
Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning</li><li>
Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code</li><li>
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</li></ul><p>
</p><p><b>About MLCOE</b><br>
The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning</p><p>
For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe.
</p><p></p><b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Director - NLP / LLM and Graphs

DEFRA

Head of Responsible AI and Assurance

Fresha

<div><h4 class="jobSectionHeader"><b>The AI-powered OS for beauty, wellness and self-care</b></h4><p></p><p><b>
About Fresha</b><br>
<br>
Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices.<br>
<br>
Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date.<br>
<br>
The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC.</p><div><p>
Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions.</p></div><p></p><div><p>
Fresha&rsquo;s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.</p></div><p></p><div><p>
The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google.</p></div><p></p><div><div><div><div><div><div><div><div><div><p>
We process millions of transactions and generate rich behavioural data across consumers and partners. Despite this, data science is still early at Fresha. That's the opportunity.</p></div></div></div></div><p></p><p><b>
About the Role</b></p><p>
We're hiring a Head of Data Science to build DS into a core function at Fresha, not manage what already exists. Today the team is small but technically strong. We have production ML models in fraud detection, text moderation, and taxonomy classification, running on SageMaker with a dbt/Snowflake data stack. But we're operating reactively, and we know there's significantly more value DS can unlock across the marketplace.</p><div><div><div><div><p>
You'll have a clear mandate, leadership buy-in, and a technically strong team already in place. Your job is to set the direction, grow the team, and make data science visible and indispensable to how Fresha makes decisions and builds products.</p><p>
This role is right for you if you've done this before - taken a small DS team at a scaling company and turned it into something the business can't operate without.</p><p>
To foster a collaborative environment that thrives on face-to-face interactions and teamwork, this role will be based in our dog-friendly office 5 days per week in London: The Bower, 207-122, Old Street, London EC1V 9NR.</p></div></div><p></p><div><p><b>
What You'll Do</b></p></div></div></div></div><div><p><b>
Strategy &amp; Influence</b></p><ul><li><p>
Define the DS roadmap and align it to Fresha's business priorities across marketplace, payments, and partner growth</p></li><li><p>
Shift DS from reactive (responding to product requests) to proactive (identifying opportunities, building POCs, running demos)</p></li><li><p>
Build DS credibility with leadership - make the function visible, understood, and sought out</p></li><li><p>
Partner with Product, Engineering, and Commercial teams to embed DS into decisions</p></li></ul><div><p><b>
Delivery &amp; Technical Leadership</b></p><ul><li><p>
Ship ML products that drive measurable business impact - not just models, but outcomes</p></li><li><p>
Establish experimentation as a discipline: A/B testing infrastructure, causal inference, automated experimentation for optimisations</p></li><li><p>
Build foundational DS infrastructure: feature store, model governance, monitoring, CI/CD for ML</p></li><li><p>
Stay hands-on enough to evaluate technical decisions and architecture trade-offs</p></li><li><p>
Contribute directly to high-impact projects when needed</p></li></ul><p><b>
Visibility &amp; Advocacy</b></p><ul><li><p>
Champion DS internally through demos, stakeholder education, and proactive engagement with PMs</p></li><li><p>
Drive external visibility: engineering blog posts, conference talks, thought leadership</p></li><li><p>
Help Fresha attract top DS talent by making the function known</p></li></ul><p><b>
Team Building</b></p><ul><li><p>
Scale the team in line with what the roadmap demands - hiring across ML engineering, data science, and MLOps</p></li><li><p>
Develop the existing team, create career paths, and set technical and cultural standards</p></li></ul></div></div></div></div></div></div><p></p><p><b>
What the First Year Looks Like</b><br>
3 months: DS roadmap defined cross-functionally and signed off. New high-impact use cases on the table that the business hadn't previously identified. First POCs or MVPs in flight. DS is visibly present in product planning &mdash; already shifting from reactive to proactive.</p><p>
6 months: Multiple ML/AI use cases shipped or in live evaluation. Experimentation is active in at least one product area. DS achievements are visible internally - demos, showcases, early external presence.</p><p>
12 months: DS is a recognised, embedded function with a track record of delivery. Experimentation is a working discipline used beyond DS. MLOps maturity has stepped up. The team has grown in line with what was needed to get here.</p><p></p><p><b>
What You Bring</b></p><p><b>
Must-Haves</b></p><ul><li><p>
4-5 years in data science, ML engineering, or related technical fields</p></li><li><p>
3+ years directly managing and growing DS teams</p></li><li><p>
Track record of building a DS function - not just inheriting one. You've taken a team from small to meaningful and made DS matter to the business</p></li><li><p>
Shipped ML models to production at scale with real business outcomes</p></li><li><p>
Strong stakeholder management - comfortable influencing C-suite, product leaders, and commercial teams</p></li><li><p>
Technical depth to evaluate architecture decisions, review work, and call the right trade-offs</p></li><li><p>
Experience developing people - grown ICs into leads, created career ladders, built team culture</p></li></ul><p><b>
Nice-to-Haves</b></p><ul><li><p>
Experience in the marketplace, SaaS, or fintech businesses</p></li><li><p>
Familiarity with our stack: SageMaker, Snowflake, dbt, Docker</p></li><li><p>
Built or contributed to feature store, MLOps, or experimentation platform infrastructure</p></li><li><p>
Experience in establishing experimentation and A/B testing as an organisational practice</p></li><li><p>
Thought leadership - blog posts, talks, open-source contributions</p></li><li><p>
Experience making DS a &quot;core function&quot; at a company where it previously wasn't</p></li></ul><p></p><p><b>
Why This Role</b></p><ul><li><p><b>
Real data, real scale.</b> Millions of transactions, 120+ countries, rich behavioural signals across a two-sided marketplace. The data is there, and there's significantly more value to unlock.</p></li><li><p><b>
Strong technical foundation.</b> You're not starting from zero. There's a production ML stack, a team with deep context across the data and business, and working models in production. You're accelerating, not bootstrapping.</p></li><li><p><b>
Visible impact.</b> At Fresha's stage, DS improvements flow directly to business metrics. This isn't optimising the fifth decimal place - it's building capabilities that don't exist yet.</p></li></ul><p></p><p><b>
Interview Process</b></p><ul><li><p><b>
Screen Stage </b>- Video-call with a member from the Talent Team (30mins)</p></li><li><p><b>
1st Stage</b> - Google Hangout - soft skills &amp; technical skills (60 mins)</p></li><li><p><b>
2nd Stage</b> - In-person case study + live review with Team (60 minutes)</p></li><li><p><b>
Final Stage -</b> Stakeholder interview with Deputy Chief Product Officer OR Chief Technology Officer (60min)</p></li></ul><p></p><div><p><i>
We aim to finalise the entire interview process and deliver feedback within 4 weeks.</i></p></div><p></p><div><p>
Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe.</p></div><p></p><p><b>
Inclusive workforce</b></p><p></p><div><p>
At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.</p></div><p></p><div><p>
We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment.</p></div><p></p><div><p>
We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.</p></div><p></p><div><p>
If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.</p></div></div>

Head of Data Science

<div><b>JOB DESCRIPTION</b><br>
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<p>The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p>
<p>As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Machine Learning and Econometrics with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.</p>
<p>Job responsibilities</p>
<ul><li>Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li>
<li>Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as time-series analysis and modelling, constrained optimization and prediction for large systems, prescriptive analytics, and decision-making in dynamical systems</li>
<li>Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li>
<li>Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business</li>
</ul><p>Required qualifications, capabilities, and skills</p>
<ul><li>PhD in a quantitative discipline, e.g. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research</li>
<li>Ability to conduct literature research in unfamiliar fields</li>
<li>Hands-on experience and solid understanding of machine learning and deep learning methods</li>
<li>Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li>
<li>Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li>
<li>Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li>
<li>Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li>
<li>Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li>
</ul><p>Preferred qualifications, capabilities, and skills</p>
<ul><li>Strong background in Mathematics and Statistics and familiarity with the financial services industries;</li>
<li>Solid knowledge in financial reports analysis; understand relationships among items in Balance Sheet, Income Statement, and Cashflow statement</li>
<li>Ability to develop and debug production-quality code and solid experience in writing unit tests, integration tests, and regression tests;</li>
<li>Published research in areas of Machine Learning/Deep Learning/Reinforcement Learning OR Finance/Accounting at a major conference or journal</li>
</ul><p></p><p>#MLCOE_jobs</p>
<b>ABOUT US</b>
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J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
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<b>ABOUT THE TEAM</b>
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Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning

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