lead data scientist

EPAM Systems

<div>
 
 We are looking for a
 
 Lead Data Scientist
 
 to join our collaborative team. You will play a key role in developing and implementing AI solutions across various applications, from statistical analysis to natural language processing. If you are passionate about leveraging data to create impactful solutions, we encourage you to apply.
 
 
 &nbsp;
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop and implement AI solutions including classification, clustering, and anomaly detection
 </li>
 <li>
 Conduct statistical data analysis and apply machine learning techniques
 </li>
 <li>
 Manage complete project delivery from data preparation to model evaluation
 </li>
 <li>
 Utilize Python programming and SQL for data manipulation and analysis
 </li>
 <li>
 Engage in ML Ops and model development workflows
 </li>
 <li>
 Create models that are accessible for business use
 </li>
 <li>
 Collaborate with teams using software development methodologies and version control
 </li>
 <li>
 Document processes and maintain project tracking tools such as Jira
 </li>
 <li>
 Stay updated with new technologies and apply problem-solving skills effectively
 </li>
 <li>
 Deliver production-ready solutions and facilitate knowledge sharing
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Requirements
 
 
 <ul>
 <li>
 9+ years&nbsp;of experience in software engineering, specializing in Data Science
 </li>
 <li>
 At least 1 year of relevant leadership experience
 </li>
 <li>
 Proficiency in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations
 </li>
 <li>
 Experience in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP
 </li>
 <li>
 Expertise in complete project delivery, from data preparation to model building, evaluation, and visualization
 </li>
 <li>
 Proficiency in Python programming and SQL, with experience in production-level code and data analysis libraries
 </li>
 <li>
 Familiarity with ML Ops, model development workflows, and feature engineering techniques
 </li>
 <li>
 Capability in manipulating data and developing models accessible for business use, with experience in Azure AI Search
 </li>
 <li>
 Competence in software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., Jira)
 </li>
 <li>
 Enthusiasm for learning new technologies, with expertise in problem-solving and delivering production-ready solutions
 </li>
 <li>
 Fluency in UNIX command line
 </li>
 <li>
 Familiarity with Agile development practices
 </li>
 <li>
 Excellent communication skills in English, with a minimum proficiency level of B2+
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Knowledge of Cloud Computing
 </li>
 <li>
 Experience with Big Data tools
 </li>
 <li>
 Familiarity with visualization tools
 </li>
 <li>
 Proficiency in containerization tools
 </li>
 </ul>
</div>

Lead Data Scientist

Kimberly-Clark

<div>You&rsquo;re not the person who will settle for just any role. Neither are we. Because we&rsquo;re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you&rsquo;ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you&rsquo;ll help us deliver better care for billions of people around the world. It starts with YOU.
This role will be part of Kimberly Clark's International Family Care and Professional (IFP) business&mdash;an organization rooted in purpose and innovation that has built a legacy with global impact. As Kimberly-Clark forms a strategic partnership with Suzano to create a world-class international tissue and professional products company, this role is proposed to transfer to the new venture once the transaction closes, anticipated in mid-2026, subject to consultation and other applicable legal requirements. This is a rare opportunity to help shape a new global leader backed by two industry powerhouses. You&rsquo;ll be part of a high-potential business that combines Kimberly-Clark&rsquo;s iconic brands and commercial excellence with Suzano&rsquo;s industrial and sustainability leadership. 
In this role, you will:
Lead the design, development, and deployment of advanced analytics and AI solutions that drive business transformation across global markets. You will guide a team of data scientists and collaborate with cross-functional stakeholders to deliver high-impact models and AI products. Your work will span predictive modeling, Generative AI, intelligent agents, and scalable data science pipelines using Databricks, Azure Functions, and Python.<ul><li>
Lead the end-to-end development of machine learning and AI solutions, from problem framing to deployment and monitoring.</li><li>
Architect and implement scalable pipelines using Databricks, Azure ML, and Azure Functions.</li><li>
Drive innovation in Generative AI and AI agent applications using frameworks like LangChain, Semantic Kernel, and Hugging Face Transformers.</li><li>
Mentor and guide a team of data scientists, fostering a culture of experimentation, learning, and delivery excellence.</li><li>
Partner with business leaders across RGM, Sales, IME, and Supply Chain to identify opportunities and translate them into data science solutions.</li><li>
Ensure model governance, reproducibility, and compliance with responsible AI principles.</li><li>
Contribute to the evolution of enterprise data science strategy and best practices.</li></ul> 
About Us
Huggies&reg;. Kleenex&reg;. Cottonelle&reg;. Scott&reg;. Kotex&reg;. Poise&reg;. Depend&reg;. Kimberly-Clark Professional&reg;. You already know our legendary brands&mdash;and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn&rsquo;t exist without talented professionals, like you.
At Kimberly-Clark, you&rsquo;ll be part of the best team committed to driving innovation, growth and impact. We&rsquo;re founded on more than 150 years of market leadership, and we&rsquo;re always looking for new and better ways to perform &ndash; so there&rsquo;s your open door of opportunity. It&rsquo;s all here for you at Kimberly-Clark. 
Led by Purpose. Driven by You
About You
You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we&rsquo;re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you&rsquo;ll experience Flex That Works: flexible work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.
In one of our technical roles, you&rsquo;ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications: 
Key Qualifications and Experiences:<ul><li>
Master&rsquo;s or PhD in Data Science, Computer Science, Statistics, or related field.</li><li>
7+ years of experience in data science roles, including 2+ years in a leadership or mentoring capacity.</li><li>
Deep expertise in Python and its data science ecosystem (pandas, scikit-learn, PyTorch, etc.).</li><li>
Proven experience with Databricks, Azure ML, and Azure Functions.</li><li>
Strong background in machine learning, deep learning, and statistical modeling.</li><li>
Experience building and deploying Generative AI models and AI agents.</li><li>
Familiarity with Snowflake, SAP data structures, and enterprise data integration.</li><li>
Excellent communication and stakeholder engagement skills.</li><li>
Experience in the CPG, healthcare, or B2B/B2C domains.</li><li>
Knowledge of MLOps, CI/CD for ML, and model monitoring frameworks.</li><li>
Exposure to vector databases, RAG pipelines, and multi-agent orchestration tools (e.g., CrewAI, AutoGen).</li><li>
Understanding of data privacy, ethics, and responsible AI frameworks.</li></ul> 
To Be Considered 
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.
In the meantime, please check out the careers website.
And finally, the fine print&hellip;.
For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. 
The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. 
Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check. 
#LI-Hybrid
.</div>

Perfios

<div>
 
 
 What your average day would look like:
 
 
 
 ● Collaborate with product and engineering teams to understand requirements and devise possible solutions.
 
 
 ● Explore existing research papers, ideas and codebases that can be leveraged in current tasks.
 
 
 ● Search for open source datasets and/or design synthetic data pipelines (including data augmentation).
 
 
 ● Devise and implement experiments using DL/ML models.
 
 
 ● Evaluate the experiments to find failure patterns and come up with improvements in data/model architecture/loss function etc.
 
 
 ● Communicate results and ideas to key stakeholders.
 
 
 ● Optimize the models for production and collaborate with software engineers for deployment.
 
 
 
 Must have skills:
 
 
 
 ● Hands-on experience in dealing with image data and CNN based architectures
 
 
 ● Should have worked on deep learning frameworks (like pytorch, tensorflow, keras etc.)
 
 
 ● Proficient in Python and packages like Numpy, Pandas, OpenCV
 
 
 ● Good understanding of data structures and algorithms along with OOPS, Git, SDLC
 
 
 ● Mathematical intuition of ML and DL algorithms
 
 
 ● Good understanding of Statistics, Linear Algebra and Calculus
 
 
 ● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical analyses
 
 
 
 Highly desired:
 
 
 
 ● Hands on experience with latest computer vision model architectures and concepts like ViTs, GANs, Diffusion, Vision Language Models
 
 
 ● Knowledge of training and inference optimizations using CUDA, C++, ONNX, TensorRT, OpenVino etc. and profiling of ML pipelines
 
 
 ● Worked on building production level APIs for serving models (Flask, Django, TF Serving)
 
 
 ● Hands-on experience of using MLOps tools.
 
 
 ● Lead and mentor a team of junior data scientists and analysts, providing technical guidance, code reviews, and career development support.
 
 
 ● Oversee the end-to-end delivery of data science projects by coordinating with cross-functional teams and ensuring alignment with business goals.
 
 
 ● Manage a team of data professionals, fostering a collaborative and innovative work environment to drive analytics excellence.
 
 
 ● Act as a technical lead in projects, taking ownership of team deliverables, timelines, and quality assurance of data models and analytics solutions.
 
 
 ● Facilitate regular team meetings, set goals and priorities, and monitor progress to ensure efficient execution of data-driven initiatives.
 
 
 ● Collaborate with product managers, business stakeholders, and engineering teams while managing a high-performing team of data scientists.
 
 
 ● Champion best practices in data science, model development, and deployment while promoting a culture of continuous learning within the team.
 
</div>

Tide

<div>
 
 About Tide
 
 
 
 At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
 
 
 Tide is transforming the small business banking market with over 1.6 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to help SMEs save both time and money.
 
 
 
 Tide Facts
 
 
 
 <ul>
 <li>
 Tide is available for UK, Indian, German and French SMEs
 </li>
 <li>
 Over 1.6 million members: 800,000 UK and 800,000 in India and growing rapidly
 </li>
 <li>
 Over $200 million raised in funding
 </li>
 <li>
 Over 2500 Tideans globally - we&rsquo;re diversity champions!
 </li>
 <li>
 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, India
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team.
 
 
 
 As a Lead Data Scientist You&rsquo;ll Be
 
 
 
 <ul>
 <li>
 Implementation &amp; Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns
 </li>
 <li>
 Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions
 </li>
 <li>
 Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses
 </li>
 <li>
 Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection
 </li>
 <li>
 Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques
 </li>
 <li>
 Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques
 </li>
 <li>
 Response Generation: Develop components for generating structured responses by combining AI with business rules
 </li>
 <li>
 Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions
 </li>
 <li>
 Documentation &amp; Knowledge Sharing: Create clear documentation and share knowledge with team members
 </li>
 <li>
 Testing &amp; Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards
 
 
 </li>
 </ul>
 
 What Are We Looking For
 
 
 
 <ul>
 <li>
 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing
 </li>
 <li>
 Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing
 </li>
 <li>
 Solid understanding of statistics, hypothesis testing, and probability distributions
 </li>
 <li>
 Experience with LangChain, LangGraph for implementing AI workflows
 </li>
 <li>
 Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities
 </li>
 <li>
 Experience with cloud platforms, particularly AWS services
 </li>
 <li>
 Familiarity with Knowledge Graphs for LLM use cases
 </li>
 <li>
 Knowledge of evaluation approaches for generative AI outputs
 </li>
 <li>
 Experience with Databricks or similar data processing platforms
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Advanced degree in Computer Science, Data Science, Machine Learning, or related field
 </li>
 <li>
 Experience in customer support AI applications Knowledge of vector databases and embedding techniques
 </li>
 <li>
 Familiarity with semantic search technologies
 </li>
 <li>
 Experience with data pipelines and ETL processes
 </li>
 <li>
 Knowledge of software development best practices including version control
 </li>
 <li>
 Contributions to data science or AI projects or communities
 
 
 </li>
 </ul>
 
 What You Will Get In Return
 
 
 
 Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you&rsquo;ll get:
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Self &amp; Family Health Insurance
 </li>
 <li>
 Term &amp; Life Insurance
 </li>
 <li>
 OPD Benefits
 </li>
 <li>
 Mental wellbeing through Plumm
 </li>
 <li>
 Learning &amp; Development Budget
 </li>
 <li>
 WFH Setup allowance
 </li>
 <li>
 15 days of Privilege leaves
 </li>
 <li>
 12 days of Casual leaves
 </li>
 <li>
 12 days of Sick leaves
 </li>
 <li>
 3 paid days off for volunteering or L&amp;D activities
 </li>
 <li>
 Stock Options
 
 
 </li>
 </ul>
 TIDEAN WAYS OF WORKING
 
 
 At Tide, we champion a
 
 flexible workplace
 
 model that supports both in-person and remote work to cater to the specific needs of our different teams.
 
 
 While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
 
 
 TIDE IS A PLACE FOR EVERYONE
 
 
 At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members&rsquo; diverse needs and lives.
 
 
 We are One Team and foster a transparent and inclusive environment, where everyone&rsquo;s voice is heard.
 
 
 
 At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone&rsquo;s voice is heard.
 
 
 
 
 Disclaimer
 
 
 
 It Has Come To Our Attention That Individuals Or Agencies Are Falsely Claiming To Represent Tide And Are Reaching Out To Candidates Regarding Job Opportunities. Please Be Aware That
 
 
 <ul>
 <li>
 Tide does not charge any fees at any stage of the recruitment process.
 </li>
 <li>
 All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
 </li>
 <li>
 Communication from Tide will only come from an official @tide.co email address.
 </li>
 <li>
 Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
 
 
 </li>
 </ul>
 
 If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
 
 
 Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
 
 
 
 
 
 You personal data will be processed by Tide for recruitment purposes and in accordance with
 
 
 Tide's Recruitment Privacy Notice
 
 
 .
 
 
</div>

Lead Data Scientist(Gen AI)

Bristlecone

<div><ul><li>Solution Architecture &amp; Design
<ul><li>Lead the design and development of advanced AI solutions leveraging LLMs, GenAI models, AI agents, and hybrid AI approaches .
</li><li>Architect scalable, secure, and efficient AI systems integrating traditional ML with emerging Generative AI capabilities.
</li><li>Ensure AI solutions align with enterprise-grade performance, compliance, and ethical AI standards.
</li></ul></li><li>Thought Leadership &amp; Innovation
<ul><li>Act as a subject matter expert (SME) in Generative AI, LLMs, and Agentic AI; contribute to technical strategy and AI roadmaps.
</li><li>Represent the organization in conferences, whitepapers, patents, and client discussions as a recognized AI thought leader .
</li><li>Explore, evaluate, and integrate cutting-edge research, frameworks, and toolkits in AI and ML.
</li></ul></li><li>Engineering &amp; Delivery
<ul><li>Provide hands-on guidance for model fine-tuning, prompt engineering, multi-agent orchestration, and system optimization.
</li><li>Lead proof-of-concept (PoC) development and transition of AI solutions into production.
</li><li>Collaborate with product managers, data scientists, engineers, and stakeholders to deliver enterprise-ready AI solutions .
</li></ul></li><li>Mentorship &amp; Leadership
<ul><li>Mentor and guide engineering teams on best practices in AI solutioning, research translation, and applied engineering .
</li><li>Foster a culture of innovation, experimentation, and continuous learning within the AI/ML engineering group.</li></ul></li></ul></div> <div></div>

Caterpillar

<div>Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world.
Build the Digital Backbone of Modern Manufacturing
We&rsquo;re assembling a dynamic team to develop and scale our Manufacturing &amp; Supply Digital Platform&mdash;a next-generation software framework that transforms how manufacturing and supply operations connect, collaborate, and optimize.
This platform is not an ERP system. It&rsquo;s a purpose-built digital layer that integrates data, processes, and resources across the entire manufacturing lifecycle&mdash;from design and engineering to production and distribution.
This initiative is powered by NVIDIA technologies, including the Omniverse platform and AI computing capabilities, enabling immersive digital twins, accelerated simulation, and intelligent automation. You&rsquo;ll be part of a team that&rsquo;s not just building software&mdash;but shaping the future of how manufacturing works through AI-driven, collaborative, and scalable digital solutions.
As part of this initiative, you&rsquo;ll contribute to:<ul><li>
System Integration: Seamlessly connecting diverse manufacturing and supply systems, data sources, and workflows into a unified digital ecosystem.</li><li>
Data-Driven Decision Making: Harnessing real-time data collection, analysis, and visualization to deliver actionable insights and operational intelligence.</li><li>
Automation &amp; Optimization: Driving efficiency through intelligent scheduling, predictive maintenance, and quality control&mdash;without replacing core transactional systems.</li><li>
Enhanced Collaboration: Enabling transparent communication and coordination across teams, functions, and geographies.</li></ul>
If you're passionate about digital platforms, industrial innovation, and working with cutting-edge technologies&mdash;this is your opportunity to make a meaningful impact.
Key Responsibilities:<ul><li>
Coach and mentor Junior Data Scientists in the creation, validation, and application of statistical, machine learning and LLM models as well as in implementing AI solutions</li><li>
Enhance team&rsquo;s creativity to solve business problems using machine learning techniques</li><li>
Evaluate and implement modern optimization algorithms: stochastic search, evolutionary/genetic, reinforcement, and multi-objective optimization.</li><li>
Lead expert-level validation of AI/ML models using industrial analytics metrics such as yield improvement, downtime reduction, and prediction accuracy.</li><li>
Establish standards for data/model lifecycle management, production monitoring, and feedback from physical operations.</li></ul>
Required Skills:<ul><li>
Deep expertise in machine learning and deep learning techniques &mdash; designs composable model services (ensembles, retrieval augmented generation, multimodal orchestration), establishes rigorous evaluation methods.</li><li>
Demonstrated experience in leveraging classical optimization (branch &amp; bound, heuristics, integer programming) techniques.</li><li>
Advanced Python knowledge to handle high-performance analytical workloads, simulation and deployment.</li><li>
Deep knowledge of manufacturing process analytics: multivariate analysis, defect analytics.</li><li>
Team/project leadership with publications or patents in industrial ML or optimization.</li><li>
Experience in building analytics on top of OpenUSD-powered asset graphs, integrating real/virtual process data for digital twins.</li></ul>
Nice to Have Skills:<ul><li>
Hands-on with cloud-native deployments, industrial IoT/edge analytics, and data pipeline automation.</li><li>
Understanding of domains across plant/line telemetry, quality, maintenance, logistics, or scheduling&mdash;can translate noisy signals into predictive and prescriptive use cases</li></ul>
Educational Background: Typically requires a Bachelor&rsquo;s degree, preferably in computer science, Artificial Intelligence, Data Science, mathematics, or a similar field with quantitative coursework, and 8-12 years of professional experience in associated field is required, a Master&rsquo;s degree and 6-8 years of experience, or a PhD and 2-5 years of experience in relevant field.
Posting Dates:
November 7, 2025 - November 20, 2025
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
Not ready to apply? Join our Talent Community.</div>

ING Hubs Türkiye

<div>
 
 
 About ING Hubs
 
 
 
 Following ING&rsquo;s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 
 
 
 
 
 𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡&planckh;𝑒 𝑃&planckh;𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡&planckh;𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐&planckh; 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘.
 
 
 
 
 
 ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.
 
 
 
 
 
 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐈𝐍𝐆 𝐇𝐮𝐛𝐬 𝐓𝐮̈𝐫𝐤𝐢𝐲𝐞
 
 
 ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.
 
 
 We value strong work ethics, knowledge sharing and flexibility in our way of working &ndash; it is both our promise to you and what we look for in new colleagues. Let&rsquo;s meet!
 
 
 
 
 
 
 ING Analytics
 
 
 
 ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of several Global Analytics Centre of Excellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics). as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
 
 
 
 
 
 
 Roles and responsibilities
 
 
 
 As a Chapter Lead you have a dual role. You build a strong-identity team that apply their diverse skills and perspectives to achieve common goals, actively perform the people management of your chapter members and further develop and safeguard their knowledge and craftsmanship, in this instance for Advanced Analytics. On the other hand, you are spending the majority of your time working together with your team as a contributor on the delivery as well. As a Chapter Lead you have the complete overview and insight on the capabilities, expertise and experience of your chapter members and you will be responsible to decide on allocation of your chapter members capacity for the global backlog delivery demand coming from the Product Lead and Tribe Lead.
 
 
 
 
 
 
 Role Profile
 
 
 
 As Chapter Lead Data Science, you report to the Tribe Lead Retail Banking Analytics.
 
 
 
 
 
 
 Your responsibilities include:
 
 
 <ul>
 <li>
 Together with the Tribe Lead and Product Lead develop a view on the future of the DS capability craftsmanship and drive continues development of your chapter members
 </li>
 <li>
 Working closely together with the other Chapter Leads to discuss and align on required capabilities and capacity across chapters for delivery
 </li>
 <li>
 Together with the Tribe Lead, Product Lead and other People Leads, decide on the allocation of capacity of your chapter members for the delivery of the global priorities
 </li>
 <li>
 Steer and develop your chapter members to meet both their career goals and the organisation&rsquo;s goals, driving engagement and results via inspiring leadership.
 </li>
 <li>
 Contribute to the success of the projects you are assigned to by doing hands-on data scientist work.
 </li>
 <li>
 Hands-on and multiple retail DS project management in lending, personalization and pricing domains
 </li>
 <li>
 Act as an expert on the craftmanship development needs for Data Science
 </li>
 <li>
 Manage and report on the performance of a substantial, diverse team; set appropriate performance objectives for direct reports or project / account team members and hold them accountable for achieving these
 </li>
 <li>
 Work with your colleagues on the (global) backlog deliveries
 </li>
 <li>
 Attract and retain the best talents, leading interviews when needed for your chapter
 </li>
 </ul>
 
 
 
 
 
 How to succeed
 
 
 
 
 Education:
 
 Bachelor's degree in technical / business field (mathematics, engineering, computer science, econometrics or likewise)
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Management experience in an Agile organization. Management experience in a matrix set up is a plus.
 </li>
 <li>
 Strong analytic skills.
 </li>
 <li>
 Experience as a data scientist in retail domain.
 </li>
 <li>
 Experience/ knowledge of the business of the Tribe you work in.
 </li>
 </ul>
 
 
 Competencies:
 
 
 <ul>
 <li>
 A proven track record in analytics, backlog management and resource planning
 </li>
 <li>
 Ability to lead teams of experts working in a highly complex and dynamic environment promoting awareness in others
 </li>
 <li>
 Achieve optimum results by empowering teams
 </li>
 <li>
 Passionate about developing teams to achieve craftmanship and personal development.
 </li>
 <li>
 A mindset that focusses on continuous improvement.
 </li>
 <li>
 Excellent level of python and spark
 </li>
 <li>
 Excellent level of English
 </li>
 <li>
 Agile/Scrum experience
 </li>
 </ul>
 
 
 
 
 
 What do we offer:
 
 
 
 At ING Hubs Turkiye we want your work to fulfill you in every way, and that is why we take care of even the smallest detail. Check out what is waiting for you;
 
 
 At our organization, you first be yourself, then you are ING&rsquo;er, therefore;
 
 
 &middot; 14 days of welcome leave days even in your first year! Don&rsquo;t postpone your dreams!
 
 
 &middot; We provide self-driven career opportunities where you have never
 
 
 &middot; Personal growth &amp; challenging work with endless opportunities to realize your ambitions
 
 
 &middot; An informal, dynamic environment with innovative colleagues supporting your endeavors
 
 
 &middot; Take a part in global projects and/or career opportunities
 
 
 &middot; Have fun with various communication activities &amp; celebrations
 
 
 &middot; We care your health; comprehensive health insurance package for you and your beloved ones (spouse/children)
 
 
 &middot; Private Pension plan for your future dreams
 
</div>

Chapter Lead Data Scientist

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